Knowledge-Aided Normalized Iterative Hard Thresholding Algorithms and\n Applications to Sparse Reconstruction

2018/09/24 by Rodrigo C. de Lamare, de Lamare, R. C. · 1 citation
Engineering · #Sparse and Compressive Sensing Techniques #Photoacoustic and Ultrasonic Imaging #Electrical and Bioimpedance Tomography

paper · pdf · doi:10.48550/arxiv.1809.09281

Abstract

This paper deals with the problem of sparse recovery often found in\ncompressive sensing applications exploiting a priori knowledge. In particular,\nwe present a knowledge-aided normalized iterative hard thresholding (KA-NIHT)\nalgorithm that exploits information about the probabilities of nonzero entries.\nWe also develop a strategy to update the probabilities using a recursive\nKA-NIHT (RKA-NIHT) algorithm, which results in improved recovery. Simulation\nresults illustrate and compare the performance of the proposed and existing\nalgorithms.\n

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