488 search results - page 33 / 98 » Blind Compressed Sensing |
117
Voted
CORR
2008
Springer
15 years 2 months ago
2008
Springer
Abstract--A traditional assumption underlying most data converters is that the signal should be sampled at a rate exceeding twice the highest frequency. This statement is based on ...
139
Voted
ICIP
2010
IEEE
15 years 1 months ago
2010
IEEE
The ability of Compressive Sensing (CS) to recover sparse signals from limited measurements has been recently exploited in computational imaging to acquire high-speed periodic and...
156
Voted
CORR
2011
Springer
14 years 10 months ago
2011
Springer
The Compressive Sensing (CS) framework aims to ease the burden on analog-to-digital converters (ADCs) by reducing the sampling rate required to acquire and stably recover sparse s...
150
Voted
CORR
2011
Springer
14 years 10 months ago
2011
Springer
Compressive sensing (CS) exploits the sparsity present in many common signals to reduce the number of measurements needed for digital acquisition. With this reduction would come, ...
104
Voted
ICIP
2003
IEEE
16 years 5 months ago
2003
IEEE
We consider the sensor broadcast problem: in our setup, sensors measure each one pixel of an image that unfolds over a field, and broadcast a rate constrained encoding of their me...