This paper addresses finite-alphabet block-sparse signal recovery by considering support detection and data estimation separately. To this aim. we propose a maximum a posteriori (MAP) support detection criterion that takes into account the finite alphabet of the signal as a constraint. We then incorporate the MAP criterion in a compressed sensing detector based on a greedy algorithm f... https://parisnaturalfoodes.shop/product-category/echinapura/