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Multiplexed Compressed Sensing for general frequency sparse signals

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2 Author(s)
Satyanarayana, J.V. ; Dept. of Electr. Eng., Indian Inst. of Sci., Bangalore, India ; Ramakrishnan, A.G.

Compressed Sensing algorithms have provided feasible and reasonably accurate solutions to the problem of reconstructing signals of which only sub-Nyquist number of samples have been acquired. A framework called MOSAICS for acquiring multiple analog channels using limited number of A/D converters by exploiting CS based undersampling has been proposed in our previous work. In this paper we introduce an improvised reconstruction algorithm into the MOSAICS scheme, which overcomes a limitation in MOSAICS, thereby being able to handle a wider class of signals.

Published in:

Communications and Signal Processing (ICCSP), 2011 International Conference on

Date of Conference:

10-12 Feb. 2011