A Hierarchical Stitching Algorithm for Coded Compressed Sensing

Yi-Jheng Lin; Chia-Ming Chang; Cheng-Shang Chang

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arXiv · 2108.13760

A Hierarchical Stitching Algorithm for Coded Compressed Sensing

Yi-Jheng Lin·Chia-Ming Chang·Cheng-Shang Chang

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Abstract

Recently, a novel coded compressed sensing (CCS) approach was proposed in [1] for dealing with the scalability problem for large sensing matrices in massive machine-type communications. The approach is to divide the compressed sensing (CS) problem into smaller CS sub-problems. However, such an approach requires stitching the results from the sub-problems to recover the result in the original CS problem. For this stitching problem, we propose a hierarchical stitching algorithm that is easier to implement in hardware for parallelization than the tree coding algorithm in [1]. For our algorithm, we also derive an upper bound on the probability of recovery errors.

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BibTeX RIS

Yi-Jheng Lin, Chia-Ming Chang, Cheng-Shang Chang. 2021-08-31. A Hierarchical Stitching Algorithm for Coded Compressed Sensing. https://arxiv.org/abs/2108.13760

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