Quantization of compressive samples with stable and robust recovery
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Publication:2409038
DOI10.1016/j.acha.2016.04.005zbMath1375.94079arXiv1504.00087OpenAlexW2962977000MaRDI QIDQ2409038
Özgür Yılmaz, Rayan Saab, Rongrong Wang
Publication date: 10 October 2017
Published in: Applied and Computational Harmonic Analysis (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/1504.00087
Random matrices (probabilistic aspects) (60B20) Signal theory (characterization, reconstruction, filtering, etc.) (94A12)
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A survey on compressive sensing: classical results and recent advancements, Sigma Delta Quantization for Images, One-bit sigma-delta modulation on the circle, Stability of 1-bit compressed sensing in sparse data reconstruction, Quantized Compressed Sensing: A Survey, On recovery guarantees for one-bit compressed sensing on manifolds, Memoryless scalar quantization for random frames, Endpoint Results for Fourier Integral Operators on Noncompact Symmetric Spaces, High-order low-bit Sigma-Delta quantization for fusion frames, Quantization for spectral super-resolution
Uses Software
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