2016
Exploiting correlations among channels in distributed compressive sensing with convolutional deep stacking networks
ICASSP 2016accepted
This paper addresses the compressive sensing with Multiple Measurement Vectors (MMV) problem where the correlation amongst the different sparse vectors (channels) are used to improve the reconstruction performance. We propose the use of Convolutional Deep Stacking Networks (CDSN), where the correlat…