11 search results - page 1 / 3 » Learning sparse systems at sub-Nyquist rates: A frequency-do... |
ICASSP
2010
IEEE
13 years 5 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...
CORR
2010
Springer
13 years 5 months ago
2010
Springer
We develop sub-Nyquist sampling systems for analog signals comprised of several, possibly overlapping, finite duration pulses with unknown shapes and time positions. Efficient sam...
ICASSP
2008
IEEE
13 years 11 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...
CORR
2011
Springer
13 years 8 days ago
2011
Springer
The Random Demodulator (RD) and the Modulated Wideband Converter (MWC) are two recently proposed compressed sensing (CS) techniques for the acquisition of continuous-time spectral...
ECCV
2008
Springer
14 years 7 months ago
2008
Springer
Abstract. Compressive sensing (CS) is an emerging field that provides a framework for image recovery using sub-Nyquist sampling rates. The CS theory shows that a signal can be reco...