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Single-side-band optical modulation in SCM systems for high-speed optical transmission

Optoelectronics Letters 2009年第1期5卷 48-50页

作者：李忠义廖同庆 Key Laboratory on Intelligent Computing & Signal Processing of Ministry of Education Anhui University

In order to decrease dispersion penalty and increase the optical bandwidth efficiency,an optical single-side-band modulation(SSBM) scheme in sub-carrier multiplexing(SCM) is *** principle of the SSBM is analytically presented,and a configuration for generating optical SSB signal is proposed using a balanced Mach-Zehnder electro-optic modulator.

关键词： Electrooptical devices

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Cloud removal of remote sensing image based on multi-output support vector regression

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Journal of Systems Engineering and Electronics 2014年第6期25卷 1082-1088页

作者： Gensheng Hu Xiaoqi Sun Dong Liang Yingying Sun Key Laboratory of Intelligent Computing and Signal Processing Ministry of Education Anhui University School of Electronics and Information Engineering Anhui University

Removal of cloud cover on the satellite remote sensing image can effectively improve the availability of remote sensing images. For thin cloud cover, support vector value contourlet transform is used to achieve multi-scale decomposition of the area of thin cloud cover on remote sensing images. Through enhancing coefficients of high frequency and suppressing coefficients of low frequency, the thin cloud is removed. For thick cloud cover, if the areas of thick cloud cover on multi-source or multi-temporal remote sensing images do not overlap, the multi-output support vector regression learning method is used to remove this kind of thick clouds. If the thick cloud cover areas overlap, by using the multi-output learning of the surrounding areas to predict the surface features of the overlapped thick cloud cover areas, this kind of thick cloud is removed. Experimental results show that the proposed cloud removal method can effectively solve the problems of the cloud overlapping and radiation difference among multi-source images. The cloud removal image is clear and smooth.

关键词： remote sensing image cloud removal support vector regression multi-output

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Posterior probability support vector machine applied in motor imagery classification

Posterior probability support vector machine applied in moto...

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International Conference on Bioinformatics and Biomedical Engineering

作者： Jiao, Ying-Ying Wu, Xiao-Pei Key Laboratory of Intelligent Computing and Signal Processing of MOE Anhui University Hehui China

ISBN: (纸本)9781424450893

Brain-computer interface (BCI) which transforms signals from the brain into control signals can help people with disabilities communicate with others. In this paper, posteriori probability support vector machine (PPSVM) for patterns recognition was developed. For the classification of the left or right hand motor imagery, this method was used to expend the training set by adding samples with great probability output. For the dataset from 2003 BCI Competition, AR model was adopted to extract feature vectors and SVM with posteriori probabilistic output was used to classify the dataset. The results proved that, by adding samples with big probability, the performance of BCI was improved and higher accuracy was achieved. © 2011 IEEE.

关键词： Brain computer interface

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Perfect plane-wave source for a high-order symplectic finite-difference time-domain scheme

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Chinese Physics B 2011年第11期20卷 365-370页

作者：王辉黄志祥吴先良任信钢 Key Laboratory of Intelligent Computing & Signal Processing of Ministry of Education Anhui University Department of Physics and Electronic Engineering Hefei Normal University

The method of splitting a plane-wave finite-difference time-domain （SP-FDTD） algorithm is presented for the initiation of plane-wave source in the total-field / scattered-field （TF/SF） formulation of high-order symplectic finite- difference time-domain （SFDTD） scheme for the first time. By splitting the fields on one-dimensional grid and using the nature of numerical plane-wave in finite-difference time-domain （FDTD）, the identical dispersion relation can be obtained and proved between the one-dimensional and three-dimensional grids. An efficient plane-wave source is simulated on one-dimensional grid and a perfect match can be achieved for a plane-wave propagating at any angle forming an integer grid cell ratio. Numerical simulations show that the method is valid for SFDTD and the residual field in SF region is shrinked down to -300 dB.

关键词： splitting plane-wave finite-difference time-domain high-order symplectic finite-differencetime-domain scheme plane-wave source

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Color holographic zoom system based on a liquid lens

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Chinese Optics Letters 2015年第7期13卷 96-100页

作者：王迪王琼华沈川周昕刘超 School of Electronics and Information Engineering Sichuan University Key Laboratory of Intelligent Computing and Signal Processing Ministry of EducationAnhui University

In this Letter, we propose a color holographic zoom system based on a liquid lens. We use the spatial multiplexing method to realize color reconstruction. By controlling the focal lengths of the liquid lens and the encoded digital lens on the spatial light modulator panel, we can change the magnification of the reconstructed image very quickly, without mechanical parts and keeping the output plane stationary.

关键词： Color Holography Light modulators Multiplexing

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Wide-band EM Scattering from Multiple Dielectric targets above a Dielectric Rough Sea Surface Based on Maehly Approximation 7

Wide-band EM Scattering from Multiple Dielectric targets abo...

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2017 7th IEEE International Symposium on Microwave, Antenna, Propagation, and EMC Technologies

作者： Ran Bao An Qi Wang Zhi Xiang Huang Key Laboratory of intelligent Computing & Signal Processing Anhui University

ISBN: (纸本)9781509059300;9781509059294

In this paper an efficient method is proposed to simulate the wide-band electromagnetic(EM)scattering from multiple dielectric targets above a dielectric PM rough sea surface,which is based on Chebyshev series and Maehly *** with the traditional frequency domain algorithms,such as method of moments(MoM),the proposed algorithm is efficiently in reducing the computational *** results show that the Maehly approximation and the repeatedly simulations obtained by the MoM have achieved an excellent agreement both in horizontal and vertical polarization.

关键词： Maehly approximation method of moments PM rough sea surface

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Fast Simulations of Electromagnetic Scattering from 1-D Rough Surface through Adaptively Modified Characteristic Basis Function Method 7

Fast Simulations of Electromagnetic Scattering from 1-D Roug...

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2017 7th IEEE International Symposium on Microwave, Antenna, Propagation, and EMC Technologies

作者： Jing Jing Wang An Qi Wang Zhi Xiang Huang Key Laboratory of intelligent Computing & Signal Processing Anhui University

ISBN: (纸本)9781509059300;9781509059294

In this paper,the Adaptively Modified Characteristic Basis Function Method(AMCBFM) is proposed to fast simulate the electromagnetic scattering from one-dimensional rough ***,the Primary Characteristic Basis Functions(PCBFs) arising from the self-interaction within the self-block are generated,and the coefficients of the basis function and the first current of each block are ***,the Secondary Characteristic Basis Functions(SCBFs) which account for the mutual coupling effects from the other distinct domains are obtained by using the *** higher SCBFs can be also derived through the same ***,a new precision method is applied to control the current error,which is used to determine the order of the higher order *** Comparing numerical simulations through the AMCBFM and the traditional Characteristic Basis Function Method(CBFM),the AMCBFM can guarantee the accuracy and void higher iteration,and the convergence performance is better than the CBFM in the lower order ***,by comparing numerical results of the AMCBFM and the method of moments(MoM),the AMCBFM can effectively reduce the size of the impedance matrix,and significantly reduce computing time.

关键词： Rough surface Electromagnetic scattering Adaptively Modified Characteristic Basis Function Method of moments

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Stfi: Structure-Aware and Time-Frequency Domain Interaction Network for Deformable Medical Image Registration

SSRN

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SSRN 2025年

作者： Hu, Rui Wang, Nian Zhang, Yuxin Li, Teng Key Laboratory of Intelligent Computing and Signal Processing Ministry of Education School of Electrical Engineering and Automation Anhui University Hefei230601 China Advanced Imaging Research Center University of Texas Southwestern Medical Center 5323 Harry Hines Blvd Dallas75390 United States School of Cyber Science and Engineering Southeast University No.2 Southeast University Road Nanjing211189 China

Deformable image registration is crucial in medical image analysis. Recently, unsupervised methods using intensity matching have shown promising results without labeled data. However, these methods still face challenges: (1) They often encounter local optima when handling anatomical structures with significant variations in intensity distribution;(2) Time domain convolution in decoders leads to loss of high-frequency fine features, limiting the effectiveness of generating fine deformation vector fields. To address these issues, we propose a novel structure-aware and time-frequency domain interaction (STFI) network. STFI integrates a structure-aware frequency domain loss and a time-frequency domain interaction module. The former leverages principal structural information from the weighted phase spectrum to guide the registration process, thereby reducing the risk of local optima. The latter processes and amalgamates information from both the time and frequency domains, effectively preserving high-frequency details. The efficacy and adaptability of our approach have been demonstrated on two types of data, offering a new perspective on exploiting time-frequency domain information for medical image registration. © 2025, The Authors. All rights reserved.

关键词： Image registration

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Multi-Residual Module Stacked Hourglass Networks for Human Pose Estimation

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Journal of Beijing Institute of Technology 2020年第1期29卷 110-119页

作者： Wenxia Bao Yaping Yang Dong Liang Ming Zhu Key Laboratory Intelligent Computing and Signal Processing of the Ministry of Education Anhui UniversityHefei 230039China

A multi-residual module stacked hourglass network(MRSH)was proposed to improve the accuracy and robustness of human body pose *** network uses multiple hourglass sub-networks and three new residual *** the hourglass sub-network,the large receptive field residual module(LRFRM)and the multi-scale residual module(MSRM)are first used to learn the spatial relationship between features and body parts at various *** the improved residual module(IRM)is used when the resolution is *** final network uses four stacked hourglass sub-networks,with intermediate supervision at the end of each hourglass,repeating high-low(from high resolution to low resolution)and low-high(from low resolution to high resolution)*** network was tested on the public datasets of Leeds sports poses(LSP)and MPII human *** experimental results show that the proposed network has better performance in human pose estimation.

关键词： human pose estimation residual learning image feature hourglass network

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Complex-wave retrieval based on blind signal separation

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Chinese Optics Letters 2006年第1期4卷 11-14页

作者：柴晓冬周成鹏冯兆艳王银花左言胜 Department of Electronic Science and Technology University of Science and Technology of ChinaHefei 230026 Key Laboratory of Intelligent Computing and Signal ProcessingMinistry of EducationAnhui UniversityHefei 230039 Key Laboratory of Intelligent Computing and Signal Processing Ministry of EducationAnhui UniversityHefei 230039

In tile process of the reconstruction of digital holography. the traditional methods of diffraction and filtration are commonly adopted to recover the original complex-wave signal. Influenced by twin-image and zero-order terms, the above-mentioned methods, however, either limit tile field of vision or result in the loss of the amplitude and phase. A new method for complex-wave retrieval is presented, which is based on blind signal separation. Three frames of holograms are captured by a charge coupled device （CCD） camera to form an observation signal. The term containing only amplitude and phase of complex-wave is separated, by means of independent component analysis, from the observation signal, which effectively eliminates the zero-order term. Finally. the complex-wave retrieval of pure phase wavefront is achieved. Experimental results show that this method can better recover the amplitude and phase of the original complex-wave even when there is a frequency spectrum mixture in the hologram.

关键词： Charge coupled devices Image reconstruction Independent component analysis signal interference signal processing Spectrum analysis

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