Computing One-Bit Compressive Sensing via Double-Sparsity Constrained Optimization
Author:
Affiliation:
1. ITP Lab, Department of Electrical and Electronic Engineering, Imperial College London, London, U.K.
2. Department of Applied Mathematics, Beijing Jiaotong University, Beijing, China
Funder
National Natural Science Foundation of China
Beijing Natural Science Foundation
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Signal Processing
Link
http://xplorestaging.ieee.org/ielx7/78/9675017/09729395.pdf?arnumber=9729395
Reference51 articles.
1. Methods for quantized compressed sensing
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5. Efficient algorithms for robust one-bit compressive sensing;zhang;Proc Int Conf Mach Learn,0
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