Analysis and Application of Matrix-Form Neural Networks for Fast Matrix-Variable Convex Optimization
Abstract: Matrix-variable optimization is a generalization of vector-variable optimization and has been found to have many important applications. To reduce computation time and storage requirement, ...
Abstract: In this letter, a low complexity iterative block decision feedback equalization (IBDFE) algorithm is designed for single carrier frequency domain ...
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