CEN is pioneering in Modern Optimization based Signal processing in India. In the last few years, CEN has produced around 40 papers using the Empirical and Synchro Squeezing wavelet transform (WT), variational mode decomposition (VMD), and dynamic mode decomposition (DMD) alone. Out of these, 6 are SCI indexed and 33 are Scopus indexed Journals and Conferences.

In this workshop, we explore the present and future applications of this technology in Machine learning and Data Science.

Note: It is open to all. No registration fee. Rs. 100 for refreshment. Maximum 100 seats, register at the earliest. Faculty/Research scholars for discussion on sunday, if required will be avilable.

Speakers: Faculty and Research scholars of CEN

Topics of the Workshop (Theory and hands-on in Matlab)

1. Overview of Optimization (Variational calculus and ADMM)
2. Hilbert transform (HT)
3. Variational Mode Decomposition (VMD)
4. Empirical wavelet Transform (EWT)
5. Synchro Squeezing Transform (SST)
6. Dynamic Mode Decomposition (DMD)

• Lal G.J., Gopalakrishnan E.A., Govind D, “Accurate Estimation of Glottal Closure Instants and Glottal Opening Instants from Electroglottographic Signal Using Variational Mode Decomposition”, Circuits, Systems, and Signal Processing, 2018.


• G. Jyothish Lal, E. A. Gopalakrishnan, D. Govind, “Epoch Estimation from Emotional Speech Signals Using Variational Mode Decomposition”, 2018.


• Sikha O.K., Sachin Kumar S., Soman K.P., “Salient region detection and object segmentation in color images using dynamic mode decomposition”, Journal of Computational Science, 2017.


• Nivitha Varghees V., Ramachandran K.I., “Effective heart sound segmentation and murmur classification using empirical wavelet transform and instantaneous phase for electronic stethoscope”, IEEE Sensors Journal, 2017.


• TVN Prabhakar, P Geetha, ‘Two-dimensional empirical wavelet transform based supervised hyperspectral image classification”, ISPRS Journal of Photogrammetry and Remote Sensing, 2017.


• V. Nivitha Varghees, K. I. Ramachandran and K. P. Soman, “Wavelet-Based Fundamental Heart Sound Recognition Method Using Morphological and Interval Features”, Healthcare Technology Letters. 2017.

• Aravind Ravikumar, Neethu Mohan, Soman K P, “Noise Removal in Buck Converter using Variational Mode Decomposition”, Power & Energy Systems: Towards Sustainable Energy – IEEE, 2018.


• Neethu Mohan, Soman K P, “Power System Frequency and Amplitude Estimation using Variational Mode Decomposition and Chebfun Approximation System”, National Conference on Communications (NCC), 2018.


• Dr.D.Govind, D Pravena, S G Ajay, “Improved Epoch Extraction using Variational Mode Decomposition based Spectral Smoothing of Zero Frequency Filtered Emotive Speech Signals”, National Conference on Communications (NCC), 2018.


• Ankarao V, Sowmya V, Soman K P, “Fusion of Panchromatic image with low-resolution multispectral images using Dynamic Mode Decomposition”, Springer LNEE, 2017.


• Megha P, Sowmya V, Soman K P, “Effect of Dynamic Mode Decomposition Based Dimension Reduction Technique on Hyperspectral Image Classification”, Springer LNEE, 2017.


• Deepthi Praveenlal Kuttichira, E A Gopalakrishnan, Vijay Krishna Menon, K P Soman, “Stock Price Prediction using Dynamic Mode Decomposition”, International Conference on Advances in Computing, Communications and Informatics – (ICACCI) – IEEE, 2017.


• Hima T Suseelan, Sowmya V, Soman K P, “Image Dehazing Using Variational Mode Decomposition”, International Conference on Wireless Communications, Signal Processing and Networking, 2017.


• Sujadevi V G, Soman K P, Sachin Kumar S, Neethu Mohan, Arunjith A S, “Denoising of Phonocardiogram Signals using Variational Mode Decomposition”, International Conference on Advances in Computing, Communications and Informatics – (ICACCI) – IEEE, 2017.


• Pankaj D., Sachin Kumar S., Mohan N., Soman K.P., “Image fusion using variational mode decomposition”, Indian Journal of Science and Technology, 2016.


• Mohan N., Sachin Kumar S., Poornachandran P., Soman K.P., “Modified variational mode decomposition for power line interference removal in ECG signals”, International Journal of Electrical and Computer Engineering, 2016.


• Nechikkat N., Sowmya V., Soman K.P., “Low dimensional variational mode features for hyperspectral image classification”, Journal of Chemical and Pharmaceutical Sciences, 2016.


• Lekshmi Kiran S., Sowmya V., Soman K.P., “Enhanced Variational Mode Features for Hyperspectral Image Classification”, Journal of Chemical and Pharmaceutical Sciences, 2016.


• Vishnu Pradeep V., Sowmya V., Soman K.P., “Variational mode decomposition based multispectral and panchromatic image fusion”, International Journal of Control Theory and Applications, 2016.


• Gowri B.G., Kumar S.S., Mohan N., Soman K.P., “A VMD based approach for speech enhancement”, Advances in Intelligent Systems and Computing, 2016.


• Nechikkat N., Sowmya V., Soman K.P., “Variational mode feature-based hyperspectral image classification”, Advances in Intelligent Systems and Computing, 2016.


• Viswanath A., Jyotsna Jose K., Krishnan N., Sachin Kumar S., Soman K.P., “Spike detection of disturbed power signal using VMD”, Procedia Computer Science, 2015.


• Mol P.G., Sowmya V., Soman K.P., “Performance enhancement of minimum volume-based hyperspectral unmixing algorithms by empirical wavelet transform”, Advances in Intelligent Systems and Computing, 2016.


• Prakash L., Mohan N., Sachin Kumar S., Soman K.P., “Accurate frequency estimation method based on basis approach and empirical wavelet transform”, Advances in Intelligent Systems and Computing, 2016.


• Moushmi S., Sowmya V., Soman K.P., “Empirical wavelet transform for multifocus image fusion”, Advances in Intelligent Systems and Computing, 2016.


• Nidhin Prabhakar T.V., Geetha P., “Empirical wavelet transform for improved hyperspectral image classification”, Advances in Intelligent Systems and Computing, 2016.


• Muralidharan A., Sugumaran V., Soman K.P., Amarnath M., “Fault diagnosis of helical gear box using variational mode decomposition and random forest algorithm”, SDHM Structural Durability and Health Monitoring, 2015.


• Mol P.G., Sowmya V., Soman K.P., “Performance enhancement of minimum volume based hyper spectral unmixing algorithms by variational mode decomposition”, Indian Journal of Science and Technology, 2015.


• Maya P., Dhivya N., Kartikga C., Soman K.P., “Discrimination between inrush and internal fault currents in a power transformer using Variational Mode Decomposition Method”, International Journal of Applied Engineering Research, 2015.


• Aneesh C., Kumar S., Hisham P.M., Soman K.P., “Performance comparison of Variational Mode Decomposition over Empirical Wavelet Transform for the classification of power quality disturbances using Support Vector Machine”, Procedia Computer Science, 2015.


• Nechikkat N., Sowmya V., Soman K.P., “A comparative analysis of variational mode and empirical mode features on hyperspectral image classification”, International Journal of Applied Engineering Research, 2015.


• Moushmi S., Sowmya V., Soman K.P., “Multispectral and panchromatic image fusion using empirical wavelet transform” ,Indian Journal of Science and Technology, 2015.


• Moushmi S., Sowmya V., Soman K.P., “Performance comparison of empirical wavelet transform and empirical mode decomposition on pan sharpening”, International Journal of Applied Engineering Research, 2015.


• B Premjith, N Mohan, P Poornachandran, KP Soman, “Audio Data Authentication with PMU Data and EWT”, Procedia Technology, 2015.


• Muralidharan, A., Sugumaran, V., Soman, K. P., & Amarnath, M, “Fault diagnosis of helical gear box using variational mode decomposition and J48 algorithm”, International Journal of Decision Support Systems, 2015.


• Aneesh, C., Hisham, P. M., Kumar, S., Maya, P., & Soman, K. P., “Variance based offline Power Disturbance Signal Classification using Support Vector Machine and Random Kitchen Sink”, Procedia Technology, 2015.


• Maya, P., Roopasree, K., & Soman, K. P., “Discrimination of Internal Fault Current and Inrush Current in a Power Transformer using Empirical Wavelet Transform”, Procedia Technology, 2015.


• Jegadeeshwaran, R., Sugumaran, V., & Soman, K. P., “Vibration Based Fault Diagnosis of a Hydraulic Brake System using Variational Mode Decomposition (VMD).”, SDHM Structural Durability and Health Monitoring, 2014.


• K. P. Soman Akil muralidharan, V. Sugumaran, “Bearing Fault Diagnosis Using Vibration Signals by Variational Mode Decomposition and Naïve Bayes Classifier”, ternational Journal of Automation, 2014.

• Dr. K.P. Soman, Prabaharan Poornachandran, Sachin Kumar S and Neethu Mohan, "Convex Optimization based Signal Processing for IOT." [Upcoming Book]


• Dr. K.P. Soman and Dr. Ramachandran K.I, "Insight into Wavelets From Theory to Practice.", Prentice-Hall India 2004.


• Dr. K.P. Soman, Shyam Diwakar, Ajay V., "Insight into Data Mining From Theory to Practice.", Prentice-Hall India, 2006.


• Dr. K.P. Soman, Ajay. V, Loganathan R., "Machine Learning with SVM and other Kernel Methods.",Prentice-Hall India, 2009.


• Dr. K.P.Soman, and Ramanthan, "Digital signal and Image Processing-The Sparse Way." Elsevier Publications, 2012.


• Dr. Deepa G., Dr. Krishnan Namboodiri, "Bioinformatics: Sequential and Structural Analysis.", Narosa Publications.


• Dr. K.I Ramachandran., Dr. Deepa, Dr. Krishnan Namboori, "Computational Chemistry and Molecular Modelling." -Springer international.


• "Fractals for Everyone." Online version: http://cen.amritafoss.org/downloads/ (link is external) Manu Unni, Praveen Krishnan, Dr. K. P. Soman.