Conference
ADAPTIVE STRUCTURED RECOVERY OF COMPRESSIVE SENSING VIA PIECEWISE AUTOREGRESSIVE MODELING
Abstract
In compressive sensing (CS) a challenge is to find a space in which the signal is sparse and hence recoverable faithfully and efficiently. Given the nonstationarity of many natural signals such as images, the sparse space varies in time/spatial domain. As such, CS recovery should be conducted in locally adaptive, signal-dependent spaces to counter the fact that the CS measurements are global and irrespective of signal structures. On the …
Authors
Wu X; Zhang X
Pagination
pp. 3906-3909
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Publication Date
January 1, 2010
DOI
10.1109/icassp.2010.5495811
Name of conference
2010 IEEE International Conference on Acoustics, Speech and Signal Processing