PROJECT TITLE :

Distributed Compressed Estimation Based on Compressive Sensing

ABSTRACT:

This letter proposes a novel distributed compressed estimation scheme for sparse signals and systems primarily based on compressive sensing techniques. The proposed scheme consists of compression and decompression modules impressed by compressive sensing to perform distributed compressed estimation. A style procedure is also presented and an algorithm is developed to optimize measurement matrices, that can more improve the performance of the proposed distributed compressed estimation theme. Simulations for a wireless sensor network illustrate the advantages of the proposed theme and algorithm in terms of convergence rate and mean sq. error performance.


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