49 search results - page 2 / 10 » Compressed Sensing and Redundant Dictionaries |
CORR
2011
Springer
12 years 9 months ago
2011
Springer
—This paper addresses the problem of simultaneous signal recovery and dictionary learning based on compressive measurements. Multiple signals are analyzed jointly, with multiple ...
ACISICIS
2008
IEEE
13 years 7 months ago
2008
IEEE
Compressed sensing (CS), a joint compression and sensing process, is a emerging field of activity in which the signal is sampled and simultaneously compressed at a greatly reduced...
ICPR
2008
IEEE
14 years 6 months ago
2008
IEEE
Sparse representations using overcomplete dictionaries are used in a variety of field such as pattern recognition and compression. However, the size of dictionary is usually a tra...
TSP
2008
13 years 5 months ago
2008
This article introduces the concept of sensing dictionaries. It presents an alteration of greedy algorithms like thresholding or (Orthogonal) Matching Pursuit which improves their...
ICASSP
2011
IEEE
12 years 9 months ago
2011
IEEE
The aim of compressed sensing is to recover attributes of sparse signals using very few measurements. Given an overall bit budget for quantization, this paper demonstrates that th...