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Research Publications

(Note: trainees are underlined, corresponding author names are in italics)

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Referred Journal Papers

  • J. K. Pant, S. Krishnan 鈥淐ompressive Sensing of Foot Gait Signals and its Application for the Estimation of Clinically Relevant Time Series鈥 IEEE Transactions on Biomedical Engineering, in press, 2016.
  • R. Godinez, S.M. M眉ller, M.A. Hasan, A.  Ferreira, S. Krishnan, T.F. Bastos, 鈥淎n Independent-BCI Based On SSVEP Using Figure-Ground Perception (FGP)鈥, Biomedical Signal Processing and Control, Vol. 26, pp 69-79, April 2016.
  • M. Shokrollahi, S. Krishnan, D. Dopsa, R. T. Muir, S. E. Black, R. H. Swartz, B. J. Murray, M. I. Boulos, "Non-negative Matrix Factorization and Sparse Representation for the Automated Detection of Periodic Limb Movements in Sleep", Medical and Biological Engineering and Computing, pp 1-14, February 2016.
  • S. Pouryazdian, S. Beheshti, S. Krishnan, 鈥淧ARAFAC model order detection based on Reconstruction Error in the presence of Kronecker structured colored noise鈥, Digital Signal Processing, Vol 48, (2016) pp 12-26. January 2016.Refereed Journal Papers

 

Papers in Referred Conference Procedings

  • JK Pant, S. Krishnan, "Efficient Compressive Sensing of ECG Segments Based on Machine Learning for QRS-Based Arrhythmia Detection", 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, August 2016, Orlando, Florida
  • JK Pant, S. Krishnan, "Compressive Sensing of Foot-Gait Signals by Enhancing Group Block-Sparse Structure on the First-Order Difference", 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, August 2016, Orlando, Florida
  • Referred Journal Papers
 
  • M. Rasooli, F. H. Foomany, K. Balasundaram, S. Masse, N. Zamiri, A. Ramadeen, X. Hu, P. Dorian, K. Nanthakumar, S. Krishnan, S. Beheshti, K. Umapathy, " Analysis of Electrocardiogram Pre-shock Waveforms During Ventricular Fibrillation", Biomedical Signal Processing and Control, Vol 21, pp 26-33, August 2015.
  • M. Shokrollahi, S. Krishnan, "Non-stationary Signal Feature Characterization Using Adaptive Dictionaries and Non-negative Matrix Factorization", accepted Signal, Image, and Video Processing, pp 1-8,  2015
  •  M. Shokrollahi, S. Krishnan, 鈥楢 review of sleep disorder diagnosis by electromyogram signal analysis鈥, , Critical Reviews in Biomedical Engineering, V43(1) pp 1-20, May 2015.
  •  M. Balouchestani, S. Krishnan, 鈥淩obust Compressive Sensing Algorithm for Wireless Surface Electromyography Applications鈥, Biomedical Signal Processing and Control, Vol 20, pp100-106, May 2015.
  •  E Baratin, L Sugavaneswaran, K Umapathy, C Ioana, S Krishnan 鈥淲avelet-Based Characterization of Gait Signal For Neurological Abnormalities鈥, Gait and Posture, Vol 41(2) pp634-639, Feb. 2015
  • M. Beheshti, F. Foomany, K. Magtibay, D. Jaffray, S. Krishnan, K. Nanthakumar, and K. Umapathy, Noise distribution and denoising of current density images鈥, Journal of Medical Imaging. Vol 2(2) May 2015.

Papers in Refereed Conference Proceedings

  • S. Pouryazdian, S. Beheshti, S. Krishnan, 鈥淟ocalization of Brain Activities using Multiway Analysis of EEG Tensor Via EMD and Reassigned TF Representation鈥, 37th Conference IEEE Engineering in Medicine and Biology Society (EMBS), August 2015, Milan, Italy.
  • G. Chen, S. Krishnan, 鈥淪mall bowel image classification using dual tree complex wavelet-based cross co-occurance features and canonical discriminant analysis鈥 2015 International Conference on Advances in Computing, Communications and Informatics, August 2015, Kochi, Kerala, India, pp 2174-2179
  • G. Chen, S. Krishnan, V. Chauhan 鈥淚mproved T-wave Alternans Detection in ECG Signals鈥 2015 World Congress on Medical Physics and Biomedical Engineering, June 2015, Toronto, Ontario. Proceedings Vol. 51, pp 1043-1047
  • R. Godinez, S.M. M眉ller, M.A. Hasan, A.  Ferreira, S. Krishnan, T.F. Bastos, 鈥淎n Independent-BCI Based On SSVEP Using Figure-Ground Perception (FGP)鈥,  Biomedical Signal Processing and Control, May 2015, Toronto, Ontario. Proceedings Vol 51, pp 982-985, May 2015,
  • M. Balouchestani, S. Krishnan, 鈥淏iomedical sensor design using analog compressed sensing,鈥 SPIE Conference on Compressive Sensing IV Volume 9484, pp 10-18, May 2015, Baltimore, Maryland, United States.
  • M. Balouchestani, S. Krishnan, 鈥淟ong-term surface EMG monitoring using K-means clustering and compressive sensing ,鈥 SPIE Conference on Compressive Sensing IV Volume 9484, pp 1-10, May 2015, Baltimore, Maryland, United States.  

Refereed Journal Papers

  • M. Shokrollahi, S. Krishnan, 鈥楽parse Analysis of Chin EMG Sleep signals for Rapid Eye Movement Behaviour Disorder Detection鈥, submitted, IEEE Transactions on Biomedical Engineering, Dec 2014
  • M. Beheshti, F. Foomany, K. Magtibay, D. Jaffray, S. Krishnan, K. Nanthakumar, and K. Umapathy, Noise distribution and denoising of current density images鈥, submitted Journal of Electronic Imaging. December 2014
  • M. Balouchestani, S. Krishnan, 鈥淓ffective Low-Power Wearable Wireless Surface EMG Sensor Design Based on Analog-Compressed Sensing鈥 Sensors, Vol. 14, (12), December 2014
  • S. Pouryazdian, S. Beheshti, S. Krishnan, 鈥淧ARAFAC model order detection based on Reconstruction Error in the presence of Kronecker structured colored noise鈥, submitted, Digital Signal Processing, Dec 2014.
  • M. Hasan, D. Abbott, M. Baumert, S. Krishnan, 鈥淚ncreased beat-to-beat T-wave variability in myocardial infarction patients", submitted, Physiological Measurement, Dec 2014.
  • M. Shokrollahi, S. Krishnan, D. Dopsa, R. T. Muir, S. E. Black, R. H. Swartz, B. J. Murray, M. I. Boulos, "Non-negative Matrix Factorization and Sparse Representation for the Automated Detection of Periodic Limb Movements in Sleep", submitted, Medical Engineering and Physics, Sept. 2014
  • L. Sugavaneswaran, K. Balasundaram, S. Masse, K. Nair, S. Krishnan, K. Umapathy, "Ambiguity Domain Analysis of the Heart Rate Dynamics for the Prediction of Ventricular Arrythmias", submitted, Medical Engineering and Physics, Sept. 2014.
  • M. Beheshti, F. H. Foomany, K. Magtibay, S. Masse, P. Lai, J. Asta, D. A. Jaffray, K. Nanthakumar,S. Krishnan, K. Umapathy, "Simulated Current Density Maps using a Simple Electrophysiological Heart Model", submitted, IEEE Transactions on Medical Imaging, Sept. 2014
  • M. Rasooli, F. H. Foomany, K. Balasundaram, S. Masse, N. Zamiri, A. Ramadeen, X. Hu, P. Dorian,K. Nanthakumar, S. Krishnan, S. Beheshti, K. Umapathy, "Blind Source Separation in the Analysis of Electrocardiogram Pre-shock Waveforms During Ventricular Fibrillation", submitted, Biomedical Signal Processing and Control, June 2014
  • F. Jin, L. Sugavaneswaran, S. Krishnan, V. Chauhan, "Quantification of Fragmented QRS Complex using Time-scale Decomposition", submitted, IEEE Transactions on Biomedical Engineering, May 2014
  • J. K. Pant, S. Krishnan, "Reconstruction of Foot Gait Signals for Compressive Sensing based on Promoting Block Sparsity on the First-order Difference, IEEE Transactions on Biomedical Engineering, in press 2015
  • S Xie, A.T. Lawnizak, P. Lio, S. Krishnan 鈥淔eature Extraction by Multi-Scale Principal Component Analysis and Classification in Spectral Domain鈥 Engineering Vol. 5 (10B), pp. 268-271, October 2013
  • S. Yang, F. Zheng, X. Luo, S. Cai, Y. Wu*, K. Liu, M. Wu, J. Chen, S. Krishnan, 鈥淓ffective dysphonia detection using feature dimension reduction and kernel density estimation for patients with Parkinson's disease鈥. PLoS ONE, Vol. 9(2): e88825, 2014.
  • J.K. Pant, S. Krishnan, 鈥淐ompressive Sensing of Electrocardiogram Signals by Promoting Sparsity on the Second-Order Difference and by Using Dictionary Learning,鈥 IEEE Trans. Biomedical Circuits and Systems, in press, 2014.
  • C. Lin, W. Chen, C.  Qiu, Y. Wu, S. Krishnan, Q.  Zou, 鈥淟ibD3C: Ensemble classifiers with a clustering and dynamic selection strategy, 鈥Neurocomputing,               Vol. 123, pp. 424-435, 2014.     
  • S. Xie, S. Krishnan, "Dynamic Principal Component Analysis with Nonoverlapping Moving Window and Its Applications to Epileptic EEG Classification," The Scientific World Journal, vol. 2014, Article ID 419308, 10 pages, 2014.

 

Papers in Refereed Conference Proceedings

  • J.K. Pant, S. Krishnan, "Foot gait time series estimation based on support vector machine鈥, Proceedings of the 36th Annual IEEE International Conference on Engineering in Medicine and Biology Society, August 2014, Chicago, USA, pp6410-6413,
  • K. Magtibay, M. Beheshti, F. H. Foomany, K. Balasundaram, S. Masse, P. Lai, J. Asta, N. Zamiri, D. A. Jaffray,K. Nanthakumar, S. Krishnan and K. Umapathy, "Fusion of structural and functional cardiac magnetic resonance imaging data for studying ventricular fibrillation," Proceedings of the 36th Annual IEEE International Conference on Engineering in Medicine and Biology Society, August 2014, Chicago, USA, pp5579-5582,
  • F. H. Foomany, M. Beheshti, K. Magtibay, S. Masse, P. Lai, J. Asta, N. Zamiri, D. A. Jaffray, S. Krishnan, K. Nanthakumar, and K. Umapathy,"A novel approach to quantification of real and artifactual components of current density imaging for phantom and live Heart," Proceedings of the 36th Annual IEEE International Conference on Engineering in Medicine and Biology Society, August 2014, Chicago, USA, pp1075-1078
  • M. Balouchestani and S. Krishnan, 鈥淔ast clustering algorithm for large ECG data sets based on CS theory in combination with PCA and K-NN methods鈥, Proceedings of the 36th Annual IEEE International Conference on Engineering in Medicine and Biology Society,  August 2014, Chicago, USA pp98-101.
  • M. Balouchestani, L. Sugavaneswaran, S. Krishnan, "Advanced K-Means clustering algorithm for large ECG data sets based on K-SVD approach," Proceedings of the 9th IEEE/IET International Symposium on Communication Systems, Networks and Digital Signal Processing, pp 187-192, July 2014, Manchester, UK.
  • L. Sugavaneswaran, M. Balouchestani, K. Umapathy, S. Krishnan, "Discrimiative Kernel Learning in Ambiguity Domain," Proceedings of the 9th IEEE/IET International Symposium on Communication Systems, Networks and Digital Signal Processing, pp 281-285, July 2014, Manchester, UK.
  • J.K. Pant, S. Krishnan, 鈥淐ompressive sensing of ECG signals based on mixed pseudonorm of the first- and second-order differences:, International Conference on Acoustics, Speech and Signal Processing, IEEE.  Florence, Italy.  May 2014, pp4423-4427.

 

Refereed Journal Papers

  • S. Xie, AT. Lawnizak, P. Lio, S. Krishnan, 鈥淔eature extraction by multi-scale principal component analysis and classification in spectral domain鈥, Engineering v5(10B), pp 268-271.  October 2013
  • G. Chen, S. Krishnan, T. Bui, 鈥淩amanujan sums for image pattern analysis,鈥      International Journal of Wavelets, Multiresolution and Information Processing, Vol. 12, 1, 2013.                                            
  • M. Kaleem, B. Ghoraani, A. Guergachi, S. Krishnan, 鈥淧athological speech signal analysis and classification using empirical mode decomposition,鈥                Medical & Biological Engineering & Computing, Vol. 51, Issue 7, pp. 811-821, July 2013.                                               
  • M. Balouchestani, K. Raahemifar, S. Krishnan, "Robust ultra-low power algorithm for normal and abnormal ECG signals based on compressed sensing theory.  Procedia Computer Science, 19 pp 281-288, December 2013
  • M. Balouchestani, K. Raahemifar, S. Krishnan, "Low sampling rate algorithm for wireless ECG systems based on compressed sensing theory,鈥 Signal, Image and Video Processing,  01-Jul 2013.
  • S. Xie, S. Krishnan, 鈥淲avelet-based sparse functional linear model with applications to EEGs seizure detection and epilepsy diagnosis,鈥 Medical & Biological Engineering & Computing, Vol. 51, Issue 1-2, pp. 49-60,  Feb. 2013.          
  • Y. Niu, M. Kyan, L. Ma, A. Beghdadi, S. Krishnan, 鈥淰isual saliencys modulatory effect on just noticeable distortion profile and its application in image watermarking鈥.  Signal Processing:  Image Communication, 28(8), 917-928, September 2013,
  • G. Chen, T.  Bui, A. Krzyzak, S. Krishnan, "Small bowel image classification based on Fourier-Zernike moment features and canonical discriminant analysis,鈥 Pattern Recognition and Image Analysis, Vol. 23,2, pp 211-216, 2013.                         
  • M. Balouchestani, K.  Raahemifar, S. Krishnan, "New channel model for wireless body area network with compressed sensing theory,鈥 IET Wireless Sensor Systems, 3, 2               85-92    2013.   
  • G. Chen, S.  Krishnan, T. Bui,  "Matrix-Based Ramanujan-Sums Transforms,鈥    IEEE Signal Processing Letters,  20,10, pp 941-944, 2013.                                          
  • S. Cai, S. Yang, F. Zheng, M. Lu, Y. Wu, S. Krishnan, "Knee Joint Vibration Signal Analysis with Matching Pursuit Decomposition and Dynamic Weighted Classifier Fusion,鈥        Computational and mathematical methods in medicine, Article ID 904267, 11 pages, 2013.           
  • B. Ghoraani, R. Dalvi, S. Gizurarson, M.  Das, A. Ha, A. Suszko, S. Krishnan, V.S.  Chauhan, 鈥淟ocalized rotational activation in the left atrium during human atrial fibrillation: Relationship to complex fractionated atrial electrograms and low-voltage zones,鈥 Heart Rhythm, 1012, 1830-1838, 2013.        
  • O. Malek, A. Venetsanopoulos, L. Alamgir,  J. Alirezaie, S. Krishnan,  "A Discrete-Time Convergence Model for Proliferation-able Stem Cell and its Estimation using Kalman Filter,鈥 Journal of Bioengineering & Biomedical Science,               Vol. 3,  Issue 1, 10 pages, 2013.   
     

Refereed Conference Papers

  • L. Sugavaneswaran, R. Dalvi, S. Krishnan, V. Chauhan, 鈥淩obust approach for evaluating periodicity in human atrial fibrillation bipolar electrograms,鈥 in Proc. IEEE Digital Signal Processing and Signal Processing Education Meeting (DSP/SPE), Napa, California, August 2013, pp. 90-95.
  • R. Dalvi, L. Sugavaneswaran, V. Chauhan, S. Krishnan, 鈥淩eviving the maximum likelihood method for detecting dominant periodicities from near-periodic signals,鈥 in Proc. IEEE Digital Signal Processing and Signal Processing Education Meeting (DSP/SPE), Napa, California, August 2013, pp. 256-261.
  • M. Kaleem, A. Guergachi, S. Krishnan, 鈥淓mpirical mode decomposition based sparse dictionary learning with application to signal classification,鈥 in Proc.  IEEE Digital Signal Processing and Signal Processing Education Meeting (DSP/SPE), Napa, California, August 2013, pp. 18-23.
  • F. Foomany, M. Beheshti, K. Magtibay, S. Masse, W. Foltz, E. Sevaptisidis, P. Lai, D.A. Jaffray, S. Krishnan, K. Nanthakumar and K. Umapathy, 鈥淎nalysis of Reliability Metrics and Quality Enhancement Measures in Current Density Imaging,鈥 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Osaka, Japan, July 2013, pp. 4394-4397.
  • M. Kaleem, A. Guergachi and S. Krishnan, 鈥淎 Variation of Empirical Mode Decomposition with Intelligent Peak Selection in Short Time Windows,鈥 38th IEEE International Conference on Accoustics, Speech and Signal Processing (ICASSP), Vancouver, Canada, May 2013.
  • M. Kaleem, A. Guergachi and S. Krishnan, 鈥淎pplication of a Variation of Empirical Mode Decomposition and Teager Energy Operator to EEG Signals for Mental Task Classification,鈥 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Osaka, Japan, July 2013.
  • M. Kaleem, A. Guergachi and S. Krishnan, 鈥淓EG Seizure Detection and Epilepsy Diagnosis using a Novel Variation of Empirical Mode Decomposition,鈥 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Osaka, Japan, July 2013.
  • M. Shokrollahi and S. Krishnan, 鈥淣on-negative Matrix Factorization and Sparse Representation for Sleep Signal Classification," 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC),  Osaka, Japan, July 2013, pp. 4318-4321.
  • M. Balouchestani, K. Raahemifar and S. Krishnan, 鈥淎 High Reliability Detection Algorithm for Wireless ECG Systems Based on Compressed Sensing Theory,鈥  35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Osaka, Japan, July 2013, pp. 4722-4725.
  • S. Xie,  A. Lawniczak, S. Krishnan, "Noise Effects on Spatial Pattern Data Classification Using Wavelet Kernel PCA,"  in Proc. of the 10th International Symposium on Neural Networks (ISNN), Dalian, China, July 2013, pp. 273-282.
  • G. Chen, T. Bui, S. Krishnan, S. Dai, "Circular projection for pattern recognition," in Proc. of the 10th International Symposium on Neural Networks (ISNN), Dalian, China, July 2013, pp. 429-436.                 
  • M. Balouchestani, K. Raahemifar and  S. Krishnan, 鈥淩obust Ultra-Low-Power Algorithm for Normal and Abnormal ECG Signals Based on Compressed Sensing Theory,鈥 in Procedia Computer Science: International Conference on Ambient Systems, Networks and Technologies (ANT-2013), Halifax, Canada, June 2013, pp. 206-213.
  • M. Balouchestani, K. Raahemifar and  S. Krishnan, 鈥淟ow Sampling-rate Approach for ECG Signals with Compressed Sensing Theory,鈥 in Procedia Computer Science: International Conference on Ambient Systems, Networks and Technologies (ANT-2013), Halifax, Canada, June 2013, pp. 281-288.
  • G. Chen, S. Krishnan, Y. Zhao, W, Xie,  "Illumination invariant face recognition,"  in Proc.  9th International Conference on Intelligent Computing (ICIC), Nanning, China, July 2013, pp. 385-391.
  • G. Chen, S. Krishnan, W. Liu, W. Xie, "Sparse signal analysis using Ramanujan sums," in Proc.  9th International Conference on Intelligent Computing (ICIC), Nanning, China, July 2013,  pp. 450-456.
  • G. Chen, S. Krishnan, W, Xie, "Ramanujan Sums-wavelet transform for signal analysis," in Proc. International Conference on Wavelet Analysis and Pattern Recognition (ICWAPR), Tianiin, China, July 14-17, 2013 pp. 253-258.
  • M. Balouchestani, K. Raahemifar and  S. Krishnan, 鈥淗igh-Resolution QRS detection algorithm for wireless ECG systems based on compressed sensing theory,鈥  in Proc. IEEE 56th International Midwest Symposium on Circuits and Systems Circuits and Systems (MWSCAS), Columbus, Ohio, USA, August 2103, pp. 1326-1329.
  • J. Pant and S. Krishnan, "Reconstruction of ECG signals for compressive sensing by promoting sparsity on the gradient," IEEE International Conference Acoustics, Speech, Signal Process (ICASSP), Vancouver, Canada, May 2013, pp. 993-997.

Refereed Journal Papers

  • Y. Athavale, S. Krishnan and A. Guergachi, "Pattern Classification of Signals using Fisher kernels," Mathematical Problems in Engineering, vol. 2012, article ID 467175, 2012.
  • B. Ghoraani and S. Krishnan, 鈥淒iscriminant Non-stationary Signal Features鈥 Clustering Using Hard and Fuzzy Cluster Labeling,鈥 EURASIP Journal on Advances in Signal Processing, Nov., 2012.
  • S. Xie, A. Lawniczak, S. Krishnan and P. Lio, "Wavelet Kernel Principal Component Analysis in Noisy Multiscale Data Classification," ISRN Computational Mathematics, vol. 2012, article ID 197352, 13 pages, 2012.
  • FH. Foomany, M. Behesti, K. Matigby, S. Masse, W. Foltz, E. Sevaptisidis, P. Lai, T. Farid, N. Krishnakumar, DA. Jaffray, S. Krishnan, 鈥712 Correlating current pathways with myocardial fiber orientation through fusion of data from current density and diffusion tensor imaging鈥 Canadian Journal of Cardiology, Elsevier, v28(5), pp S372-S373.  September, 2012.
  • O. Janousek, J. Kolarova, M. Ronshina, M. Novakova, S, Krishnan, 鈥淪uppression of motion artifacts in optical action potential records by independent component analysis鈥, Computing in Cardiology (39), pp 641-644, June 2012.
  • L Sugavaneswaran, K Umapathy and S. Krishnan, 鈥淎mbiguity Domain Based Identification of Altered Gait Pattern in ALS Disorder鈥, Journal of Neural Engineering, vol. 9, no. 4, August 2012.
  • S. Xie, F. Jin and S. Krishnan, 鈥淪ignal Feature Extraction by Multi-scale PCA and Its Application to Respiratory Sound Classification鈥, Medical & Biological Engineering & Computing, vol. 50, no. 7, pp. 759-768, July 2012.
  • L Sugavaneswaran, S. Xie, K Umapathy and S. Krishnan, 鈥淭ime-Frequency Analysis via Ramanujan Sums鈥, IEEE Signal Processing Letters, vol. 19, no. 6, pp. 352-355, June 2012.
  • B. Ghoraani, K. Umapathy, L. Sugavaneswaran, S. Krishnan, "Pathological Speech Signal Analysis using Time-frequency Approaches", Critical Reviews in Biomedical Engineering, vol. 40, no. 1, pp. 63-95, 2012.
  • S. S. Lotfabadi, A. Ye, S. Krishnan, "Measuring the power efficiency of sub-threshold FPGAs for implementing portable biomedical applications", Microprocessors and Microsystems, vol. 36, no. 3, pp. 151-158, 2012.
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Refereed Conference Papers

  • B Ghorani, S. Krishnan, V.S. Chauhan, 鈥淐haracterization of fractionated electrograms using a novel time-frequecey based algorithm鈥, Proc. International Symposium on Medical Measurements and Applications, IEEE, San Diego, USA. September 2012, pp6361-6364
  • M. Balouchestani, K. Raahemifar and S. Krishnan, "Low Power Wireless Body Area Networks with Compressed Sensing Theory,鈥 55th Int'l Midwest Symposium on Circuits & Systems, Boise, Idaho, U.S., August, 2012, pp. 916-919.
  • M. Balouchestani, K. Raahemifar and S. Krishnan, "Wireless Body Area Networks with Compressed Sensing Theory,鈥 2012 IEEE-ICME International Conference on Complex Medical Engineering, Kobe, Japan, July 2012, pp. 364-369. 
  • M. Shokrollahi and S. Krishnan, "Sleep EMG Analysis using Sparse Signal Representation and Classification,鈥 Proc. of the IEEE Engineering in Medicine and Biology Conference (EMBC), San Diego, USA, August, 2012, pp. 3380-3383.
  • Y. Wu, S. Cai, F. Xu, L. Shi and S. Krishnan, 鈥淐hondromalacia patellae detection by analysis of intrinsic mode functions in knee joint vibration signals鈥, Proceedings of 2012 World Congress on Medical Physics and Biomedical Engineering (WC 2012), Beijing, China, May 2012, vol. 39, pp. 493-496. 
  • S. Xie and S. Krishnan, 鈥淟earning Sparse Dictionary for Long-term Signal Classification and Clustering鈥, Proc. of the 11th International Conference on Information Sciences, Signal Processing and their Applications, Montreal, Canada, July 2012, pp. 1118-1123.
  • S. Xie, S. Krishnan and A. T. Lawniczak, 鈥淪parse Principal Component Extraction and Classification of Long-term Observational Signals鈥, 25th IEEE International Symposium on Computer-Based Medical Systems, 2012.
  • S. Xie, S. Krishnan and A. T. Lawniczak, 鈥淎nalysis of Communication Network Surveillance Using Functional ANOVA Model with Unequal Variances鈥, IEEE Symposium: Computational Intelligence for Security and Defence Applications, Ottawa, Canada, July 11-13, 2012, pp. 1-6.
  • M. Balouchestani, K. Raahemifar and S. Krishnan, "Low Sampling-Rate Wireless Body Area Networks with Compressed Sensing Theory,鈥 35th IEEE/TSP International Conference on Telecommunications and Signal Processing (TSP), Prague, Czech Republ, July 3-4, 2012, pp.479-483.
  • M. Balouchestani, K. Raahemifar, S. Krishnan,鈥 Robust Wireless Sensor Networks with Compressed sensing theory鈥, IEEE International conference on Network Digital Technologies (NDT2012), Canadian University of Dubai, April 2012, Springer Computer Science Journal vol. 293, pp. 608-619.
  • S. Pouryazdian, S. Beheshti and S. Krishnan, 鈥淢inimum Noiseless Description Length (MNDL) based Regularization Parameter Selection,鈥 accepted for the 11th International Conference on Information Sciences, Signal Processing and their Applications, Montreal, July 3-5, 2012. (accepted)
  • F. Jin, F. Sattar, and S. Krishnan, 鈥淟og-Frequency Spectrogram For Respiratory Sound Monitoring,鈥 Proc. IEEE Int Conf. Acoust. Speech Sig Process (ICASSP), Kyoto, Japan, March 25-30, 2012, pp. 597-560.

Refereed Journal Papers

  • F. Jin, S. Krishnan and F. Sattar, 鈥淎dventitious Sounds Identification and Extraction Using Temporal-Spectral Dominance Based Features,鈥 IEEE Trans. Biomed. Eng., vol. 58, no. 11, pp. 3078-3087, Nov. 2011.
  •  M. Balouchestani, K. Raahemifar, S. Krishnan, 鈥滳ompressed Sensing in Wireless Sensor Networks: Surway鈥, Canadian Journal on Multimedia and Wireless Networks, vol. 2, no. 1, Feb. 2011, pp.1-4.
  • B. Ghoraani, and S. Krishnan, 鈥淭ime-frequency matrix feature extraction and classification of environmental audio signals,鈥 IEEE Trans. Audio, Speech and Language Processing, vol. 19, no. 7, pp. 2197-2209, 2011.
  • B. Ghoraani, R. Selvaraj, S. Krishnan, and V. Chauhan, 鈥淭 wave alternans evaluation using adaptive time-frequency signal analysis and non-negative matrix factorization,鈥 Medical Engineering & Physics, vol. 33, no. 6, pp. 700-711, July 2011.
  • M. Boulos, K. Umapathy, P. Shokrollahi, K. V. McConville, T. Sudenis, D. R. Jewell, S. Krishnan, and B. J. Murray, 鈥淎utomated detection of nocturnal slow eye movements modulated by selective serotonin reuptake inhibitors,鈥 Progress in Neuro-Psychopharmacology & Biological Psychiatry, vol. 35, no. 1, pp. 126-130, Jan. 2011.
  • K. Umapathy, F. H. Foomany, P. Dorian, T. Farid, G. Sivagangabalan, K. Nair, S. Masse, S. Krishnan, and K. Nanthakumar, 鈥淩eal-time electrogram analysis for monitoring coronary blood flow during human ventricular fibrillation: Implications for CPR,鈥 Heart Rhythm, vol. 8, no. 5, pp. 740-749, May 2011.
  • S. Xie, and S. Krishnan, 鈥淔irst Passage Times Density of Markov Switching Geometric Brownian Motion,鈥 Advances and Applications in statistical Sciences, vol. 5, no. 1, pp. 1-23, Jan. 2011.
  • S. Xie and S.  Krishnan, 鈥淪ignal Classification Via Multi-scale PCA and Empirical Classification Methods鈥, International Journal of Mechatronics and Automation, vol. 1, no. 戮, pp. 213-223, 2011.
  • Y. F. Wu, and S. Krishnan, "Combining least-squares support vector machines for classification of biomedical signals: a case study with knee-joint vibroarthrographic signals," Journal of Experimental and Theoretical Artificial Intelligence, vol. 23, no. 1, pp. 63-77, Mar. 2011.
     

Refereed Conference Papers

  • M. Balouchestani, K. Raahemifar and S. Krishnan, "Increasing the reliability of wireless sensor network with a new testing approach based on compressed sensing theory," in Wireless and Optical Communications Networks (WOCN), 2011 IEEE International Conference on Wireless Sensor Networks,  pp. 1-4, May 2011.
  • M. Balouchestani, K. Raahemifar, S. Krishnan,鈥淧ower Management of Wireless Sensor Networks with Compressed Sensing Theory鈥, 16th IEEE International Conference on Networks and Optical Communications and 6th Conference on Optical Cabling and Infrastructure (OC&I 2011) Northumbria University, Newcastle upon Tyne, UK, pp.122-125, July 2011.
  •  M. Balouchestani, K.  Raahemifar, S. Krishnan, 鈥淐oncepts for Designing Low-Power Wireless Sensor Networks with Compressed Sensing Theory鈥, 2011 International Conference on Communication and Broadband Networking (ICCBN 2011), Kuala Lumpur, Malaysia, pp.47-51, June 2011.
  • M. Balouchestani, K. Raahemifar, S. Krishnan, 鈥淣ew Testing Method in Wireless Sensor Networks with Compressed Sensing Theory,鈥 International Conference on Computer Communication and Management(ICCCM2011),Sydney, Australia, IACSIT Press, vol. 5, pp.1-6, May2011.
  • L. Sugavaneswaran, K. Umapathy and S. Krishnan, 鈥淒iscriminative Time-Frequency Kernels for Gait Analysis for Amyotrophic Lateral Sclerosis鈥, IEEE Engineering in Medicine and Biology Conference (EMBC), August 2011.
  • M. Shokrollahi, S. Krishnan, D. Kumar and S. Arjunan, "Chin EMG analysis for REM sleep behavior disorder", submitted to 3rd ISSNIP Biosignal and Biorobotics Conference, 2011
  • F. Jin, F. Sattar, and S. Krishnan. 鈥淎nalysis of Pathological Respiratory Sounds Using Temporal-Spectral Dominance.鈥 Proc. IEEE Conf. Multimedia Expo (ICME), 2011.
  • S. Xie, F. Jin, and S. Krishnan, 鈥淪parse Approximation of Long-term Biomedical Signals For Classification Via Dynamic PCA.鈥 Proc. 33th IEEE Eng. Med. Biol. Soc. (EMBS), 2011.
  • M. F. Kaleem, A. Guergachi, and S. Krishnan, 鈥淯sing a variation of empirical mode decomposition to remove noise from signals,鈥 in 21st International Conference on Noise and Fluctuations (ICNF 2011), pp. 123-126, June 12-16, 2011.
  • S. Xie, and S. Krishnan, 鈥淪ignal decomposition by multi-scale PCA and its applications to long-term EEG signal classification,鈥 in 2011 IEEE Int. Conf. on Complex Medical Eng. (CME), pp. 532-537.
  • H. Asefi, B. Ghoraani, A. Ye, and S. Krishnan, 鈥淗ardware-software analysis of pole model features,鈥 in IEEE Canadian Conf. on Elec. and Comp. Eng. (CCECE 2011), Niagara Falls, Canada, pp. 1288-1291, May 8-11, 2011.
  • H. Asefi, B. Ghoraani, A. Ye, and S. Krishnan, 鈥淎udio scene analysis using parametric signal features,鈥 in IEEE Canadian Conf. on Elec. and Comp. Eng. (CCECE 2011), Niagara Falls, Canada, pp. 922-925, May 8-11, 2011.
  • E. Afatmirni, K. Nanthakumar, S. Masse, K. Nair, T. Farid, S. Krishnan, P. Dorian, K. Umapathy, 鈥淧redicting refibrillation from pre-shock waveforms in optimizing cardiac resuscitation,鈥   Engineering in Medicine and Biology Society, EMBC, Annual International Conference of the IEEE Boston, USA, pp. 251-254, 2011
  • J. Jeyaratnam, K. Umapathy, S. Masse, K. Nair, T. Farid, S. Krishnan, K. Nanthakumar, 鈥淩elating spatial heterogeneities to rotor formation in studying human ventricular fibrillation,鈥 Engineering in Medicine and Biology Society, EMBC, Annual International Conference of the IEEE, Boston, USA, pp. 231-234, 2011
  • M. F. Kaleem, B. Ghoraani, A. Guergachi, S. Krishnan, 鈥淭elephone-quality pathological speech classification using empirical mode decomposition,鈥 Engineering in Medicine and Biology Society, EMBC, Annual International Conference of the IEEE, Boston, USA, pp. 7095-7098, 2011
  • M. Z. C. Azemin, D.K. Kumar, L. Sugavaneswaran, S. Krishnan, 鈥淪upervised retinal biometrics in different lighting conditions,鈥 Engineering in Medicine and Biology Society, EMBC, Annual International Conference of the IEEE, Boston, USA, pp. 3971-3974, August 2011
  • Y. F. Wu, S. X. Cai, M. Lu and S. Krishnan, 鈥淎n artificial-neural-network-based multiple classifier system for knee-joint vibration signal classification,鈥 Proc. 2011 Int'l Conf. Computer, Communication, Control and Automation (3CA鈥11), Zhuhai, China, pp. 235-242, 2011
     

Refereed Journal Papers

  • Y. Shen, X. Li, N.-W. Ma, and S. Krishnan, 鈥淧arametric time-frequency analysis and its applications in music classification,鈥 EURASIP Journal on Advances in Signal Processing, vol. 2010, Article ID 380349, 9 pages, 2010.
  • Y. Niu, S. Krishnan, and Q. Zhang, 鈥淪patio-temporal just noticeable distortion model guided video watermarking,鈥 International Journal of Digital Crime and Forensics 鈥 Special issue on intelligent multimedia security and forensics, ISSN: 1941-6210 1703, vol. 2, no. 4, pp. 16-36, 2010.
  • Y. Niu, M. Kyan, S. Krishnan, and Q. Zhang, 鈥淎 combined just noticeable distortion model guided image,鈥 Signal Image and Video Processing, no. 11760, ISSN: 1863-1703, vol. 4, no. 2, 2010.
  • Y. F. Wu, S. Krishnan, and R.M. Rangayyan, 鈥淐omputer-aided diagnosis of knee-joint disorders via vibroarthrographic signal analysis: a review,鈥 Critical Reviews in Biomedical Engineering, vol. 38,  no. 2, pp. 201-224, 2010.
  • X. Li, S. Krishnan, and N.-W. Ma, 鈥淎 wavelet-PCA-based fingerprinting scheme for peer-to-peer video file sharing,鈥 IEEE Trans. Inf. Forens. Security, vol. 5, no. 3, pp. 365-373, Sept. 2010.
  • B. Jiao, S. Krishnan, and A. Kabbani, 鈥淔PGA implementation of adaptive segmentation for nonstationary biomedical signals,鈥 IET Circuits, Devices and Systems, vol. 4, no. 3, pp. 239-250, May 2010.
  • Y. F. Wu, and S. Krishnan, 鈥淪tatistical analysis of gait rhythm in patients with Parkinson鈥檚 disease,鈥 IEEE Trans. Neural Syst. Rehabil. Eng., vol. 18, no. 2, pp. 150-158, Apr. 2010.
  • O. Nedjah, A. Hussein, S. Krishnan, and R. Sotudeh, 鈥淐omparative study of adaptive techniques for denoising CN Tower lightning current derivative signals,鈥 Digital Signal Processing, vol. 20, no. 2, pp. 607-618, Mar. 2010.
  • K. Umapathy, K. Nair, S. Masse, S. Krishnan, J. Rogers, M. P. Nash, and K. Nanthakumar, 鈥淧hasemapping of cardiac fibrillation,鈥 Circulation: Arrhythmia and Electrophysiology, vol. 3, no.1, pp. 105-114, Feb. 2010. 
  • T. Farooq, A. Guergachi, and S. Krishnan, 鈥淜nowledge-based Green鈥檚 Kernel for support vector regression,鈥 Mathematical Problems in Engineering, vol. 2010, Article ID 378652, 16 pages, 2010.
  • K. Umapathy, B. Ghoraani, and S. Krishnan, 鈥淎udio signal processing using time-frequency approaches: Coding, classification, fingerprinting, and watermarking,鈥 EURASIP Journal on Advances in Signal Processing, vol. 2010, Article ID 451695, 28 pages, 2010.
  • S. Beheshti, A. Fakrizadeh and S. Krishnan, 鈥淣oiseless code length in wavelet denoising,鈥 EURASIP Journal on Advances in Signal Processing, vol. 2010, Article ID 641842, 14 pages, 2010.
     

Refereed Conference Papers

  • L. Halachev, A. Guergachi, Y. Athavale, and S. Krishnan, 鈥淎nalysis of the economic sustainability of companies in the water sector,鈥 2010 International Congress on Environmental Modelling and Software - Modelling for Environment鈥檚 Sake, Fifth Biennial Meeting, Ottawa, Canada, July 5-8, 2010.
  • B. Jiao, S. Krishnan, and A. Kabbani, 鈥淔PGA implementation of AR modeling based on Burg algorithm,鈥 2010 ISSNIP Biosignals and Biorobotics Conference: Biosignals and Robotics for Better and Safer Living, Vitoria, Brazil, Jan. 4-6, 2010, in press.
  • T. Tabatabaei, and S. Krishnan, 鈥淭owards robust speech-based emotion recognition,鈥 in 2010 IEEE Int. Conf. on Systems, Man, and Cybernetics (SMC), Istanbul, Turkey, Oct. 10-13, 2010, pp. 608-611.
  • T. Tabatabaei, S. Krishnan, and A. Anapalagan, 鈥淪VM-based classification of digital modulation signals, in 2010 IEEE Int. Conf. on Systems, Man, and Cybernetics (SMC), Istanbul, Turkey, Oct. 10-13, 2010, pp. 277-280.
  • F. H. Foomany, K. Umapathy, S. Krishnan, S. Masse, T. Farid, K. Nair, P. Dorian, and K. Nanthakumar, 鈥淲avelet-based markers of ventricular fibrillation in optimizing human cardiac resuscitation,鈥 in 32nd Annu. Int. Conf. IEEE Engineering in Medicine and Biology Society (EMBS), Buenos Aires, Argentina, Aug. 31-Sept. 4, 2010, pp. 2001-2005.
  • M. F. Kaleem, L. Sugavaneswaran, A. Guergachi, and S. Krishnan, 鈥淎pplication of empirical mode description and Teager energy operator to EEG signals for mental task classification,鈥 in 32nd Annu. Int. Conf. IEEE Engineering in Medicine and Biology Society (EMBS), Buenos Aires, Argentina, Aug. 31-Sept. 4, 2010, pp. 4590-4593.
  • L. Sugavaneswaran, K. Umapathy, and S. Krishnan, 鈥淓xploiting the ambiguity domain for non-stationary biomedical signal classification,鈥 in 32nd Annu. Int. Conf. IEEE Engineering in Medicine and Biology Society (EMBS), Buenos Aires, Argentina, Aug. 31-Sept. 4, 2010, pp. 1934-1937.
  • B. Ghoraani, and S. Krishnan, 鈥淒iscriminative base decomposition for time-frequency matrix decomposition,鈥 in 2010 IEEE Int. Conf. Acoustics Speech and Signal Processing (ICASSP), Dallas, TX, Mar. 14-19, 2010, pp. 3674 鈥 3677.
     

Refereed Journal Papers

  • Y. F. Wu, and S. Krishnan, 鈥淐omputer-aided analysis of gait rhythm fluctuation dynamics in amyotrophic lateral sclerosis,鈥 Medical and Biological Eng. and Computing, vol. 47, no. 11, pp. 1165鈥1171, Nov. 2009.
  • K. Umapathy, S. Masse, E. Sevaptsidis, J. Asta, H. Ross, N. Thavendiran, K. Nair, T. Farid, R. Cusimano, J. Rogers, S. Krishnan, and K. Nanthakumar, "Regional frequency variation during human ventricular fibrillation," Medical Engineering & Physics, vol. 31, no. 8, pp. 964-970, Sept. 2009.
  • K. Umapathy, S. Masse, E. Sevaptsidis, J. Asta, S. Krishnan and K. Nanthakumar, 鈥淪patio-temporal frequency analysis of ventricular  fibrillation in explanted human hearts,鈥 IEEE Trans. Biomed. Eng., vol. 56, pp. 328-335, Feb. 2009.
  • J. Bonnel, A. Khademi, S. Krishnan, and C. Ioanna, 鈥淪mall bowel image classification using cross-co-occurrence matrices,鈥 Biomedical Signal Processing and Control, vol. 4, no. 1, pp. 7-15, Jan. 2009.
  • B. Ghoraani, and S. Krishnan, 鈥淎 joint time-frequency and matrix decomposition feature extraction methodology for pathological voice classification,鈥 EURASIP Journal on Advances in Signal Processing, vol. 2009, Article ID 9298974, 11 pages, 2009.
     

Refereed Conference Papers

  • Y. Athavale, P. Hosseinizadeh, S. Krishnan, and A. Guergachi, 鈥淚dentifying the potential for failure of businesses in the  technology, pharmaceutical and banking sectors using kernel-based machine learning methods,鈥 in IEEE Int. Conf. Systems, Man, and Cybernetics (SMC), San Antonio, TX, Oct. 11-14, 2009, pp. 1073-1077.
  • N. Shams, B. Ghoraani, and S. Krishnan, 鈥淎udio feature clustering for hearing aid systems,鈥 IEEE Int. Conf. Science and Tech. for Humanity, Toronto, Canada, Sept. 26-27, 2009, pp. 976-980.
  • Y. Niu, Y. Zhang, Q. Zhang and S. Krishnan, 鈥淎 video-driven just noticeable distortion profile for watermarking,鈥 in 2009 Int. Conf. Engineering Management and Service Sciences (EMS 2009), Beijing, China, Sept. 20-22, 2009, DOI: 10.1109/ICMSS.2009.5305440.
  • Y. F. Wu, and S. Krishnan, 鈥淕ait variability of patients with amyotrophic lateral sclerosis,鈥 in World Congress on Medical Physics and Biomedical Engineering 7鈥12 September, 2009, Munich, Germany: Neuroengineering, Neural Systems, Rehabilitation and Prosthetics, ed. Olaf D枚ssel and Wolfgang C. Schlegel (Berlin: Springer, 2009), pp. 36-39.
  • P. Shokrollahi, S. Krishnan, K. Umapathy, K. McConville, M. I. Boulos, D. Jewell, and B. Murray, 鈥淎 method for quantifying sleep eye movements that reflects medication effects,鈥 in World Congress on Medical Physics and Biomedical Engineering, September 7-12, 2009, Munich, Germany: Vol. 25/4 Image Processing, Biosignal Processing, Modelling and Simulation, Biomechanics, ed. Olaf D枚ssel and Wolfgang C. Schlegel (Berlin: Springer, 2009), pp. 1411-1414.
  • M. Shokrollahi, S. Krishnan, D. Jewell, and B. Murray, 鈥淎utoregressive and cepstral analysis of electromyogram in rapid eye movement sleep,鈥 in World Congress on Medical Physics and Biomedical Engineering, September 7-12, 2009, Munich, Germany: Vol. 25/4 Image Processing, Biosignal Processing, Modelling and Simulation, Biomechanics, ed. Olaf D枚ssel and Wolfgang C. Schlegel (Berlin: Springer, 2009), pp. 1580-1583.
  • E. Shokrollahi, S. Krishnan, and K. Nanthakumar, 鈥淭ransfer function estimation of the right ventricle of canine heart,鈥 in World Congress on Medical Physics and Biomedical Engineering, September 7-12, 2009, Munich, Germany: Vol. 25/4 Image Processing, Biosignal Processing, Modelling and Simulation, Biomechanics, ed. Olaf D枚ssel and Wolfgang C. Schlegel (Berlin: Springer, 2009), pp. 1588-1591.
  • M. Shokrollahi, S. Krishnan, D. Jewell, and B. Murray, 鈥淎nalysis of the electromyogram of rapid eye movement sleep using wavelet techniques,鈥 in IEEE Engineering in Medicine and Biology Conf. (EMBC), Minneapolis, MN, Sept. 2-6, 2009, pp. 2659-2662.
  • E. Shokrollahi, S. Krishnan, S. Masse, K. Umapathy, L. Soucie, T. Farid, and K. Nanthakumar, 鈥淓fficacy of noncontact mapping in detecting epicardial activation,鈥 in IEEE Engineering in Medicine and Biology Conf. (EMBC), Minneapolis, MN, Sept. 2-6, 2009, pp. 1901-1904.
  • B. Ghoraani, S. Krishnan, R. J. Selvaraj, and V. S. Chauhan, 鈥淎daptive time-frequency matrix features for t-wave alternans analysis,鈥 in IEEE Engineering in Medicine and Biology Conf. (EMBC), Minneapolis, MN, Sept. 2-6, 2009, pp. 39-42.
  • K. Umapathy, S. Krishnan, S. Masse, H. Xudong, P. Dorian, and K. Nanthakumar, 鈥淥ptimizing cardiac resuscitation outcomes using wavelet analysis,鈥 in IEEE Engineering in Medicine and Biology Conf. (EMBC), Minneapolis, MN, Sept. 2-6, 2009, pp. 6761-6764.
  • P. Shokrollahi, S. Krishnan, K. Umapathy, K. McConville, M. I. Boulos, D. Jewell, and B. Murray, 鈥淐omputer-assisted method for quantifying sleep eye movements that reflects medication effects,鈥 in IEEE Engineering in Medicine and Biology Conf. (EMBC), Minneapolis, MN, Sept. 2-6, 2009, pp. 1347-1350.
  • A. Khademi, F. Sahba, A. Venetsanopoulos, and S. Krishnan, 鈥淩egion, lesion and border-based multi resolution analysis of mammogram lesions,鈥 in Int. Conf. Image Analysis and Recognition (ICIAR), July 6-8, 2009, pp. 802-813.
  • B. Ghoraani, S. Krishnan, V. Chauhan, and R. Selvaraj, 鈥淎daptive time-frequency signal analysis and its case study in biomedical ECG waveform analysis,鈥 in 16th Int. Conf. Digital Signal Processing, Santorini, Greece, July 5-7, 2009, pp. 329-333.
  • Y.F. Wu, and S. Krishnan, 鈥淐lassification of knee-joint vibroarthrographic signals using time-domain and time-frequency domain features and least-squares support vector machine,鈥 in 16th Int. Conf. Digital Signal Processing, Santorini, Greece, July 5-7 2009, DOI: 10.1109/ICDSP.2009.5201156.
  • Y. F. Wu, and S. Krishnan, 鈥淎n adaptive classifier fusion method for analysis of knee-joint vibroarthrographic signals,鈥 in IEEE Int. Conf. Computational Intelligence for Measurement Systems and Applications (CIMSA 2009), Hong Kong, China, May 11-13, 2009, pp. 190-193.
     

Refereed Journal Papers

  • D. Hosseinzadeh, and S. Krishnan, 鈥淕aussian mixture modeling of keystroke patterns for biometric applications,鈥 IEEE Trans. Syst. Man Cybern. C, Appl. Rev., vol. 38, pp. 816-826, Nov. 2008.
  • D. Hosseinzadeh, and S. Krishnan, 鈥淥n the use of complementary spectral features for speaker recognition,鈥 EURASIP Journal on Advances in Signal Processing, vol. 2008, Article ID: 258184, 10 pages, 2008.
     

Refereed Conference Papers

  • O. Nedjah, A.M. Hussein, S. Krishnan, and R. Sotudeh, 鈥淐N tower lightning current derivative Heidler model analysis and transmission computer modeling and simulation,鈥 in EMS '08. 2nd UKSIM European Symposium, Liverpool, UK, Sept. 8-10, 2008, pp. 268-273.
  • O. Nedjah, A. M. Hussein, S. Krishnan, K. Rahimeefar, and R. Sotudeh, 鈥淎 divide-and-conquer approach for denoising and modeling the CN tower lightning current derivative signal,鈥 in IEEE Canadian Conf. Electrical and Computer Engineering, Niagara Falls, Ontario, Canada, May 4-7, 2008, pp. 1373-1378.
  • B. Ghoraani, and S. Krishnan, 鈥淨uantification and localization of features in time-frequency plane,鈥 in IEEE Canadian Conf. Electrical and Computer Engineering, Niagara Falls, Ontario, Canada, May 4-7, 2008, pp. 1207-1210.