An Incoherent Simultaneous Codeword Optimization Algorithm for Dictionary Learning

In recent years., dictionary learning has attracted great interest in the field of sparse representation. To improve the sparse representation performance of signals., this paper proposes an incoherent dictionary learning algorithm based on the simulta-neous codeword optimization (SimCO) algorithm. The proposed algorithm is achieved by embedding a coherence penalty for the framework of the SimCO algorithm to avoid performance degradation caused by similar atoms appearing in the learned dictionary. Simulation results show that the proposed algorithm has a competitive sparse representation performance compared to existing algorithms.