Wednesday, July 08, 2009

CS: Basis Pursuit DeQuantizer, BPDQ Toolbox now available.


David Hammond, Laurent Jacques and M. Jalal Fadili just released the BPDQ Toolbox. From the page:

This toolbox aims at demonstrating the power of the Basis Pursuit Dequantizers for recovery of sparse signals from quantized random measurements, as described in the paper
by Laurent Jacques, David Hammond, M. Jalal Fadili, May 2009. ( submitted to IEEE Transactions on Signal Processing)
More precisely, this toolbox provides a set of matlab and C/C++ routines solving numerically the two following convex optimization frameworks:
In other words, the L1-based and the Total Variation (TV) based Basis Pursuit Dequantizers.
of particular interest:

HTML reports of these demonstrations (automatically generated by Matlab 7.5) are also available here:
This is the first of its kinds. Thank you David for the heads-up. I'll include it in thee reconstruction section of the Big Picture in Compressive Sensing later.

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