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One-bit quantization is good for programmable coding metasurfaces

Science China(Information Sciences) 2022年第7期65卷 225-239页

作者： Ya SHUANG Hanting ZHAO Menglin WEI Qiang CHENG Shi JIN Tiejun CUI Philipp DEL HOUGNE Lianlin LI State Key Laboratory of Advanced Optical Communication Systems and Networks Department of ElectronicsPeking University Institute of Electromagnetic Space Southeast University State Key Laboratory of Millimeter Waves Southeast University Pazhou Laboratory University of Rennes

The information-carrying programmable metasurfaces have found widespread applications in communication, sensing, and other related areas. However, there is a fundamental but unresolved problem,i.e., the rigorous understanding of the quantization of metasurface coding. Here, we theoretically investigate the performance difference between one-bit and continuous information-encoding metasurfaces. To this end,we derive analytical representations of system responses in various cases(single-input single-output, singleinput multiple-output, and multiple-input multiple-output). We analyze the impact of one-bit coding(in contrast to continuous coding) in terms of the resulting channel cross-talk and reduction of information capacity in various representative scenarios from wireless communication and holography. Our main finding indicates that the one-bit coding yields a satisfactory performance in most practical scenarios; we also show that in many cases there are smart ways to mildly relax optimization constraints in order to reduce the performance gap between the one-bit and continuous coding. We expect that our results can provide theoretical guidance for a large variety of metasurface-assisted information systems for electromagnetic waves and other wave phenomena.

关键词： metasurfaces metamaterials information capacity signal representation one-bit coding metasurface

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On Discrete-Amplitude Multiresolution Analysis

On Discrete-Amplitude Multiresolution Analysis

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1996 3rd International Conference on signal Processing(ICSP’96)

作者： Sun Hong Yao Tian Ren Yao Wen Bing Huazhong University of Science and Technology

ISBN: (纸本)0780329120

＜正＞In this paper,a new concept named Discrete-Amplitude Multiresolution（DAM） is proposed,in which the representation precision of signal amplitude is taken as its *** the discrete multiresolution algorithms presented in references and are classified them into two broad types,frequency-decomposition and time-decomposition, DAM is a kind of *** is discussed that DAM decomposition in some local segments of a signal behaves like certain self-similar tilings at reasonable scales,and this provides basis for signal *** for reconstructing a signal from its 2-biti binary representation is ***, examples of applications of DAM to digital signal processing is discussed and some attractive features of DAM in its implementation are revealed:computational simplicity,parallel processing,and quantization-error free.

关键词： signal reconstruction signal resolution signal representation parallel processing discrete amplitude multiresolution analysis signal amplitude representation discrete multiresolution algorithms frequency decomposition time decomposition code decomposition local signal segments self-similar tilings signal compression signal reconstruction binary representation digital signal processing parallel processing quantization-error free method computational simplicity

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A New Recognition Algorithm of 2-D Objects

A New Recognition Algorithm of 2-D Objects

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1996 3rd International Conference on signal Processing(ICSP’96)

作者： DU Xiaoping SHI Lei GU Deren Department of Electronic Engineering University of Electronic Science and Technology of China

ISBN: (纸本)0780329120

＜正＞In this paper,we present a new algorithm to recognize a two- dimensional object of general shape which has a closed contour. The algorithm includes two *** first stage consists of building a one-dimensional signal representation of the two-dimensional boundary of the object and obtaining the wavelet transform of the representation by using a particular mother wavelet which is the first derivative of a smoothing function. The second stage consists of calculating the rise -fall periods of the wavelet transform and its transfer probability matrix as the feature template,and then completing the matching procedure for objects recognition.

关键词： object recognition wavelet transforms smoothing methods matrix algebra probability feature extraction image matching signal representation recognition algorithm 2D objects two-dimensional object closed contour object shape recognition one-dimensional signal representation two-dimensional boundary wavelet transform mother wavelet smoothing function rise-fall periods transfer probability matrix feature template matching procedure object recognition

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Linear thresholding of auditory cortical representation by back-ground noise

Linear thresholding of auditory cortical representation by b...

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中国神经科学学会第十届全国学术会议

作者： Fei-Xue Liang Lin Bai Zhong-Ju Xiao Li-I Zhang Department of Physiology Southern Medical University Zilkha Neurogenetic InstituteDepartment of Physiology and BiophysicsKeck School of MedicineUniversity of Southern California

Objective It is generally beheved that background noise play a role to mask the auditory information ***,how the levels of noise specifically transfer the auditory response properties remains largely *** The receptive field properties of individual cortical neurons in response to the target tones in background noise with different levels were measured with in vivo cell-attached *** The general effects of increasing background noise on cortical auditory neurons are the linear shifting of threshold,me compression of tonal receptive range,and the linear up-shift of the tonal receptive ***,the frequency selectivity of neuron and me shape of tonal receptive field remain *** influences of continuous noise to excitatory and inhibitory neurons are *** slowly shrink in receptive field of inhibitory neuron,resulted in the lower sensitivity to the background noise,may devote to the quickly compressed dynamic receptive area of monotonic neuron.

关键词： auditory cortex background noise signal representation linear shifting

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