32 search results - page 1 / 7 » Sparse LMS for system identification |
ICASSP
2009
IEEE
13 years 11 months ago
2009
IEEE
We propose a new approach to adaptive system identification when the system model is sparse. The approach applies the ℓ1 relaxation, common in compressive sensing, to improve t...
TSP
2008
13 years 4 months ago
2008
This paper studies the behavior of the low-rank least mean squares (LMS) adaptive algorithm for the general case in which the input transformation may not capture the exact input s...
ICASSP
2010
IEEE
13 years 4 months ago
2010
IEEE
We propose a novel algorithm for sparse system identification in the frequency domain. Key to our result is the observation that the Fourier transform of the sparse impulse respo...
ICASSP
2011
IEEE
12 years 8 months ago
2011
IEEE
Two proportionate af ne projection sign algorithms (APSAs) are proposed for system identi cation applications, such as network echo cancellation (NEC), where the impulse response ...
ICASSP
2008
IEEE
13 years 10 months ago
2008
IEEE
We propose a new low complexity and fast converging frequencydomain adaptive algorithm for sparse system identification. This is achieved by exploiting the MMax and SP tap-select...