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Adaptive One-bit Quantization for SAR Imaging

2019 International Conference on Microwave and Millimeter Wave Technology (ICMMT), 2019
Recently, one-bit compressed sensing (CS) with time-varying thresholds has received lots of attentions. In this study, we propose a novel one-bit compressed sensing synthetic aperture radar (SAR) imaging method with adaptive quantization in which the thresholds are updated adaptively, and the Logistic Regression algorithm with $L_{1}$ norm ...
Hao Han   +4 more
openaire   +1 more source

Handwriter identification from one-bit quantized pressure patterns

Pattern Recognition, 1985
Abstract The timing information contained in the on/off paper motions of handwriting is analyzed for its applicability to the problem of handwriter identification. Three different experiments on a data base of ten signatures from nine individuals are analyzed in terms of Type I and Type II error probabilities.
Kuno Peter Zimmermann, M. J. Varady
openaire   +1 more source

Wideband source localization using one-bit quantized arrays

2017 IEEE 7th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP), 2017
We consider the problem of source localization with signals that are quantized to a single bit. While this problem has been previously addressed for narrowband signals quantized in complex baseband, we consider wideband signals quantized directly in the time domain. We adapt the generalized cross correlation estimator to work with quantized signals and
Ryan M. Corey, Andrew C. Singer
openaire   +1 more source

A Distributed Compressed Sensing Scheme Based on One-Bit Quantization

2014 IEEE 79th Vehicular Technology Conference (VTC Spring), 2014
For multi-node networks, a distributed compressed sensing scheme based on one-bit quantization is proposed, where signals at each node consist of common component and innovation component. To reduce the transmission cost, each node derives the measurements as the sign information of the compressed samples by using one-bit quantization.
Yun Tian 0003   +3 more
openaire   +1 more source

Second-order distributed consensus with one-bit adaptive quantization

2012 12th International Conference on Control Automation Robotics & Vision (ICARCV), 2012
In order to improve the accuracy and the convergence rate of distributed consensus under quantized communication, in the paper, based on one-bit adaptive quantization scheme, we propose the second-order distributed consensus to update the state of every node by the present quantized values and the previous quantized values of the adjacency nodes.
Huanxin Peng   +3 more
openaire   +1 more source

A Rotation-Aided Arctangent Phase Discriminator With One-Bit Quantization

IEEE Signal Processing Letters, 2016
In this letter, we present a rotation-aided arctangent phase discriminator (RaAPD) with one-bit analog-to-digital conversion. Different from the existing digital phase discriminator (DPD) and noise-balanced digital phase discriminator (NB-DPD), the proposed RaAPD can achieve higher accuracy and better noise robust features through utilizing an extra ...
Yu Ye 0001   +2 more
openaire   +1 more source

One-bit quantization of computer-stored spectra

Analytica Chimica Acta, 1988
Abstract The behavior of reconstructed spectra after application of one-bit quantization in comparison to the usual absorption-type spectra in modern computerized Fourier-transform spectroscopy is re-investigated. By means of a “synthetic” and an experimental 13 C-F.t.-n.m.r.
openaire   +1 more source

Optimal one-bit quantizers are asymmetric for additive uniform noise

2017 Information Theory and Applications Workshop (ITA), 2017
In this paper, we consider one-bit output quantization of an amplitude bounded input-signal subject to arbitrary additive noise. Capacity is then represented in various ways, each demonstrating that finding the optimum quantization threshold q is an extremely difficult problem.
Gholamreza Alirezaei, Rudolf Mathar
openaire   +1 more source

Some Results on Stochastic Resonance in One-Bit Quantizers

2007 IEEE International Conference on Signal Processing and Communications, 2007
Stochastic Resonance (SR) is a phenomenon that occurs in certain non-linear systems in which noise can be used to improve the system response [L. Gammaitoni, 1998]. A recent approach to quantizer design has employed Stochastic Resonance by randomizing the threshold of the quantizer (Stochastic Thresholding).
Farzad Talebi   +2 more
openaire   +1 more source

Unlimited Sampling via One-Bit Quantization

2023 International Conference on Sampling Theory and Applications (SampTA), 2023
Arian Eamaz   +3 more
openaire   +1 more source

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