This paper discusses random filtering, a recently proposed method for directly acquiring a compressed version of a digital signal. The technique is based on convolution of the signal with a fixed FIR filter having random taps, followed by downsampling. Experiments show that random filtering is effective at acquiring sparse and compressible signals. This process has the potential for implementation in analog hardware, and so it may have a role to play in new types of analog/digital converters. ©2006 IEEE.
CITATION STYLE
Tropp, J. A. (2006). Random filters for compressive sampling. In 2006 IEEE Conference on Information Sciences and Systems, CISS 2006 - Proceedings (pp. 216–217). Institute of Electrical and Electronics Engineers Inc. https://doi.org/10.1109/CISS.2006.286465
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