Satyanarayana, JV and Ramakrishnan, AG (2013) Low order anti-aliasing filters for sparse signals in embedded applications. In: SADHANA-ACADEMY PROCEEDINGS IN ENGINEERING SCIENCES, 38 (3). pp. 397-405.
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Abstract
Major emphasis, in compressed sensing (CS) research, has been on the acquisition of sub-Nyquist number of samples of a signal that has a sparse representation on some tight frame or an orthogonal basis, and subsequent reconstruction of the original signal using a plethora of recovery algorithms. In this paper, we present compressed sensing data acquisition from a different perspective, wherein a set of signals are reconstructed at a sampling rate which is a multiple of the sampling rate of the ADCs that are used to measure the signals. We illustrate how this can facilitate usage of anti-aliasing filters with relaxed frequency specifications and, consequently, of lower order.
| Item Type: | Journal Article |
|---|---|
| Publication: | SADHANA-ACADEMY PROCEEDINGS IN ENGINEERING SCIENCES |
| Publisher: | INDIAN ACAD SCIENCES |
| Additional Information: | Copyrright of this article is belongs to Indian Academy of Sciences |
| Keywords: | Compressed sensing; analogue-to-digital converter; streaming data; anti-aliasing filter |
| Department/Centre: | Division of Electrical Sciences > Electrical Engineering |
| Date Deposited: | 25 Sep 2013 11:56 |
| Last Modified: | 25 Sep 2013 11:56 |
| URI: | http://eprints.iisc.ac.in/id/eprint/47320 |
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