Robust mixed one-bit compressive sensing

Huang X, Yang H, Huang Y, Shi L, He F, Maier A, Yan M (2019)

Publication Type: Journal article

Publication year: 2019

Journal

Signal Processing Elsevier

Book Volume: 162

Pages Range: 161-168

DOI: 10.1016/j.sigpro.2019.04.011

Abstract

When a measurement falls outside the quantization or measurable range, it becomes saturated and cannot be used in conventional signal recovery methods. Aiming at acquiring information from noisy saturated and regular measurements, we in this paper propose a new signal recovery method called mixed one-bit compressive sensing (M1bit-CS) and develop an efficient algorithm in the framework of alternating direction methods of multipliers. Numerical experiments on one-dimensional symmetric signals and two-dimensional image reconstruction from computed tomography verify the effectiveness of M1bit-CS on signal recovery from saturated measurements.

Authors with CRIS profile

Yixing Huang Lehrstuhl für Informatik 14 (Bild- und Sprachverarbeitung) Andreas Maier Lehrstuhl für Informatik 5 (Mustererkennung)

Involved external institutions

Shanghai Jiao Tong University / 上海交通大学 CN China (CN) Fudan University / 复旦大学 CN China (CN) Michigan State University US United States (USA) (US)

How to cite

APA:

Huang, X., Yang, H., Huang, Y., Shi, L., He, F., Maier, A., & Yan, M. (2019). Robust mixed one-bit compressive sensing. Signal Processing, 162, 161-168. https://dx.doi.org/10.1016/j.sigpro.2019.04.011

MLA:

Huang, Xiaolin, et al. "Robust mixed one-bit compressive sensing." Signal Processing 162 (2019): 161-168.

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