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Implementation of ℓ 1 magic and one bit compressed sensing based on linear programming using excel

Publication Type : Conference Proceedings

Thematic Areas : Wireless Network and Application

Publisher : International Conference on Advances in Computing and Communications, ICACC 2012. IEEE, Kochi, Kerala.

Source : International Conference on Advances in Computing and Communications, ICACC 2012. IEEE, Kochi, Kerala, pp. 69-72, 2012

Url : http://www.scopus.com/inward/record.url?eid=2-s2.0-84867930229&partnerID=40&md5=1ba2ff216be755d62c2caef0e3a25dd1

ISBN : 9780769547237

Keywords : Compressive sensing, Excel, Linear algebra, Linear programming, Modern signal processing, Signal reconstruction, Sparse representation

Campus : Coimbatore, Amritapuri

School : School of Engineering

Center : Computational Engineering and Networking, Amrita Center for Wireless Networks and Applications (AmritaWNA)

Department : Electronics and Communication

Verified : Yes

Year : 2012

Abstract : Compressed sensing helps in the reconstruction of sparse or compressible signals from small number of measurements. The sparse representation has great importance in modern signal processing. The main objective is to provide a strong understanding of the concept behind the theory of compressed sensing by using the key ideas from linear algebra. In this paper, the concept of compressed sensing is explained through an experiment formulated based on linear programming and solved using l1 magic and One bit compressed sensing methods in Excel. © 2012 IEEE.

Cite this Research Publication : P. K. Indukala, Lakshmi, K., Sowmya V., and Dr. Soman K. P., “Implementation of ℓ 1 magic and one bit compressed sensing based on linear programming using excel”, International Conference on Advances in Computing and Communications, ICACC 2012. IEEE, Kochi, Kerala, pp. 69-72, 2012

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