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Compressed sensing for denoising in adaptive system identification
2012
20th Iranian Conference on Electrical Engineering (ICEE2012)
We propose a new technique for adaptive identification of sparse systems based on the compressed sensing (CS) theory. We manipulate the transmitted pilot (input signal) and the received signal such that the weights of adaptive filter approach the compressed version of the sparse system instead of the original system. To this end, we use random filter structure at the transmitter to form the measurement matrix according to the CS framework. The original sparse system can be reconstructed by the
doi:10.1109/iraniancee.2012.6292545
fatcat:ya6pspgjrfgtrbw4c4bvie2aga