Compressive measurements generated by structurally random matrices: Asymptotic normality and quantization
Author:
Publisher
Elsevier BV
Subject
Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Signal Processing,Software,Control and Systems Engineering
Reference38 articles.
1. Introduction to compressed sensing;Davenport,2012
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3. Near-optimal signal recovery from random projections: universal encoding strategies?;Candès;IEEE Trans. Inf. Theory,2006
4. Decoding by linear programming;Candès;IEEE Trans. Inf. Theory,2005
5. Sparsity and incoherence in compressive sampling;Candès;Inverse Probl.,2007
Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Image Compression Based on Compressive Sensing: End-to-End Comparison With JPEG;IEEE Transactions on Multimedia;2020-11
2. A Co-Prediction-Based Compression Scheme for Correlated Images;IEEE Transactions on Multimedia;2020-08
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