Saturation Consistent Compressive Sensing

Compressive sensing (CS) systems have the peculiar property that each measurement contains a similar amount of information. Such measurements are called democratic. In this project, we exploit the democracy of CS measurements to increase the dynamic range of quantized CS measurements. Included in this Matlab package, are alternative methods for handling saturated measurements.

Saturation Consistent Compressive Sensing (Matlab)

This code implements the saturation-consistent algorithms proposed in

Democracy in Action: Quantization, Saturation, and Compressive Sensing. Jason Laska, Petros Boufounos, Mark Davenport, and Richard Baraniuk. 2009.

The package includes:

Please see comments in individual files for more information.

Notes:
algorithms only work with matrices (no function versions yet)

Version: 
1.0
Requirements: 

Matlab

Requirements: 

CVX [optional]

Requirements: 

l1-Magic [optional]

AttachmentSize
SCCS.zip10.51 KB

Change Log

v1.0

====
-added SC-CoSaMP
-added SC-FPC
-added SC-IHT
-added SC-CVX
-added minl2sat
-added testAlgs