Publication Type : Conference Proceedings
Thematic Areas : Wireless Network and Application
Publisher : IEEE
Source : International Conference on Advances in Computing and Communications, ICACC 2012, IEEE, Kochi, Kerala, p.69-72 (2012)
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