Publication Type : Conference Proceedings
Thematic Areas : Center for Computational Engineering and Networking (CEN)
Publisher : 2013 IEEE International Multi Conference on Automation, Computing, Control, Communication and Compressed Sensing, iMac4s 2013
Source : 2013 IEEE International Multi Conference on Automation, Computing, Control, Communication and Compressed Sensing, iMac4s 2013, IEEE, Kochi, Kerala, p.590-595 (2013)
Url : http://www.scopus.com/inward/record.url?eid=2-s2.0-84880113935&partnerID=40&md5=3628c0fd2b9cf6179f34fc0a72d50144
ISBN : 9781467350891
Keywords : Biorthogonal, Communication, Discrete cosine transforms, L1 minimizations, Over-complete dictionaries, Separation, Signal reconstruction, Walsh-Hadamard, Wavelet basis
Campus : Coimbatore
School : School of Engineering
Center : Computational Engineering and Networking
Department : Electronics and Communication
Verified : Yes
Year : 2013
Abstract : Most of the natural signals are complex and are highly time varying, since they are non stationary in nature. In this paper, a comparative study for separating spikes and smooth signal components from a non-stationary signal are performed based on different overcomplete dictionaries. The experiment is evaluated using the sparse representation with different bases such as the Discrete Cosine Transform (DCT), Walsh-Hadamard, Orthogonal and Biorthogonal wavelet basis. The primary focus of this paper is to use L1 minimization for retrieving the smooth and spikes component of the signal using different overcomplete dictionary. The experimental results reveals out the dictionary that delivers a better separation without distorting temporal and spectral characteristics. © 2013 IEEE.
Cite this Research Publication : G. Aarthy, Amitha, P. L., Krishnan, T., Pillai, G. S., Sowmya, and Dr. Soman K. P., “A comparative study of spike and smooth separation from a signal using different overcomplete dictionary”, 2013 IEEE International Multi Conference on Automation, Computing, Control, Communication and Compressed Sensing, iMac4s 2013. IEEE, Kochi, Kerala, pp. 590-595, 2013.