A Unitary Transform Based Generalized Approximate Message Passing

Based on the unitary transform approximate message Thus, GLM is actually an extention of SLM from linear measurements passing (UAMP) and expectation propagation, a unitary to nonlinear measurements, which are prevalent in transform based generalized approximate message passing some real-world applications such as quantized compressed (GUAMP) algorithm is proposed for general measurement sensing, pattern classification, phase retrieval, etc. matrices A, in particular highly correlated matrices. Experimental A variety of algorithms have been proposed for inference results on quantized compressed sensing demonstrate over GLMs and SLMs. Among them, the past decade has witnessed that the proposed GUAMP significantly outperforms state-ofthe-art an advent of one distinguished family of probabilistic GAMP and GVAMP under correlated matrices A. algorithms called message passing algorithm.