Signal recovery with convex constrained nonlinear monotone equations through conjugate gradient hybrid approach

Volume: 187, Pages: 520 - 539
Published: Sep 1, 2021
Abstract
In recent years there is a vast application of conjugate gradient methods to restore the disturbed signals in compressive sensing. This research aims at developing a scheme, which is more effective for restoring disturbed signals than the popular PCG method (Liu & Li, 2015). To realize the desired goal, a new conjugate gradient approach combined with the projection scheme of Solodov and Svaiter [Kluwer Academic Publishers, pp. 355-369(1998)] for...
Paper Details
Title
Signal recovery with convex constrained nonlinear monotone equations through conjugate gradient hybrid approach
Published Date
Sep 1, 2021
Volume
187
Pages
520 - 539
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