Erratum to: Robust 1-bit compressed sensing via hinge loss minimization
نویسندگان
چکیده
منابع مشابه
One Scan 1-Bit Compressed Sensing
Based on α-stable random projections with small α, we develop a simple algorithm for compressed sensing (sparse signal recovery) by utilizing only the signs (i.e., 1-bit) of the measurements. Using only 1-bit information of the measurements results in substantial cost reduction in collection, storage, communication, and decoding for compressed sensing. The proposed algorithm is efficient in tha...
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This paper studies a formulation of 1-bit Compressive Sensing (CS) problem based on the maximum likelihood estimation framework. In order to solve the problem we apply the recently proposed Gradient Support Pursuit algorithm, with a minor modification. Assuming the proposed objective function has a Stable Restricted Hessian, the algorithm is shown to accurately solve the 1-bit CS problem. Furth...
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The microwave Doppler radar sensor enables a non-contact approach for measuring movement in various applications. One of the most challenging issues is radar signal demodulation because it requires accurate DC offset compensation. Existing works either require a complicated setup procedure or are sensitive to environmental changes. In this reported work, a compressed sensing based approach to e...
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Compressed sensing is a framework that makes it possible to recover an N-dimensional sparse vector x ∈ R N from its linear transformation y ∈ R M of lower dimensionality M < N. A scheme further reducing the data size of the compressed expression by using only the sign of each entry of y to recover x was recently proposed. This is often termed the 1-bit compressed sensing. Here we analyze the ty...
متن کاملPinball Loss Minimization for One-bit Compressive Sensing
The one-bit quantization can be implemented by one single comparator, which operates at low power and a high rate. Hence one-bit compressive sensing (1bit-CS) becomes very attractive in signal processing. When the measurements are corrupted by noise during signal acquisition and transmission, 1bit-CS is usually modeled as minimizing a loss function with a sparsity constraint. The existing loss ...
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ژورنال
عنوان ژورنال: Information and Inference: A Journal of the IMA
سال: 2019
ISSN: 2049-8772
DOI: 10.1093/imaiai/iaz024