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2020 22th International Conference on Digital Signal Processing and its Applications (DSPA)最新文献

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Application of Stochastic Adaptation in Block Method for Estimating Image Sequence Deformation Field 随机自适应分块法在图像序列变形场估计中的应用
2020 22th International Conference on Digital Signal Processing and its Applications (DSPA) Pub Date : 2020-03-01 DOI: 10.1109/DSPA48919.2020.9213297
A. Tashlinskiy, P. Smirnov, R. Kovalenko, R. Ibragimov
{"title":"Application of Stochastic Adaptation in Block Method for Estimating Image Sequence Deformation Field","authors":"A. Tashlinskiy, P. Smirnov, R. Kovalenko, R. Ibragimov","doi":"10.1109/DSPA48919.2020.9213297","DOIUrl":"https://doi.org/10.1109/DSPA48919.2020.9213297","url":null,"abstract":"The paper proposes a block method for estimating the deformation field for image sequences using a stochastic adaptation procedure. As a target function, the paper considers mean square inter-frame difference and interframe correlation coefficient. The developed algorithm has a high noise resistance and allows one to reduce the influence of global inter-frame geometric changes. Also, by adjusting the size of the blocks, it makes it possible to remove or highlight moving objects of small size (rain, snow, falling leaves, etc.).","PeriodicalId":262164,"journal":{"name":"2020 22th International Conference on Digital Signal Processing and its Applications (DSPA)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125532785","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Algorithms for Intelligent Control of Multi-Link Walking Robots with Self-Learning Capabilities 具有自学习能力的多连杆步行机器人智能控制算法
2020 22th International Conference on Digital Signal Processing and its Applications (DSPA) Pub Date : 2020-03-01 DOI: 10.1109/DSPA48919.2020.9213282
V. Danilov, S. Diane, Vladimir Gonchareko, Alexander Artamonov
{"title":"Algorithms for Intelligent Control of Multi-Link Walking Robots with Self-Learning Capabilities","authors":"V. Danilov, S. Diane, Vladimir Gonchareko, Alexander Artamonov","doi":"10.1109/DSPA48919.2020.9213282","DOIUrl":"https://doi.org/10.1109/DSPA48919.2020.9213282","url":null,"abstract":"The main types of structures of walking robots are considered and the choice of the design of the implemented layout of a six-legged insectomorphic robot is justified. Based on the results of the analysis of known approaches to the design of walking systems and the selected type of robot, solutions of forward and reverse kinematics problems for its joints are described. Kinematic and dynamic models of a six-legged walking robot are calculated and implemented programmatically. A computer simulation model of a six-legged walking robot is constructed that combines a 3d representation of the robot and the dynamics of its movement. The procedure for adjusting the control algorithms for a multilink structure is suggested to adapt for the uncertainties in the robot construction and the surrounding environment. Verification of the proposed mathematical models was carried out on virtual and hardware samples of walking robots.","PeriodicalId":262164,"journal":{"name":"2020 22th International Conference on Digital Signal Processing and its Applications (DSPA)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127851659","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
Statistical Analysis of Quantization Effects for Ad-Hoc Communication Systems 自组织通信系统量化效应的统计分析
2020 22th International Conference on Digital Signal Processing and its Applications (DSPA) Pub Date : 2020-03-01 DOI: 10.1109/DSPA48919.2020.9213305
Yury A. Bryukhanov, A. Gvozdarev
{"title":"Statistical Analysis of Quantization Effects for Ad-Hoc Communication Systems","authors":"Yury A. Bryukhanov, A. Gvozdarev","doi":"10.1109/DSPA48919.2020.9213305","DOIUrl":"https://doi.org/10.1109/DSPA48919.2020.9213305","url":null,"abstract":"The research assumes the problem of statistical description of combined nonlinear clipping device and a quantizer that are driven by the input sum of Gaussian information process and white Gaussian noise. The output process' probability function and the expressions for arbitrary order moments are obtained and applied for output variance calculation. The effects of energy distortions, introduced by the system are analyzed as a function of number of quantizers' bits, its aperture and input process root mean square deviation.","PeriodicalId":262164,"journal":{"name":"2020 22th International Conference on Digital Signal Processing and its Applications (DSPA)","volume":"23 5","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120979734","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Straight Line Detection Method for Images Based on the Properties of Curvature 基于曲率特性的图像直线检测方法
2020 22th International Conference on Digital Signal Processing and its Applications (DSPA) Pub Date : 2020-03-01 DOI: 10.1109/DSPA48919.2020.9213299
A. Novikov, Ekaterina S. Melnikova, Dmitry I. Ustyukov
{"title":"Straight Line Detection Method for Images Based on the Properties of Curvature","authors":"A. Novikov, Ekaterina S. Melnikova, Dmitry I. Ustyukov","doi":"10.1109/DSPA48919.2020.9213299","DOIUrl":"https://doi.org/10.1109/DSPA48919.2020.9213299","url":null,"abstract":"A straight lines detection and parameters estimation method for contour images was proposed. The algorithm is based on the property of straight lines as curves with zero curvature, which is the same as equality to zero of the second derivative of the curve function at each contour point. The second derivative at each contour pixel was estimated in sliding mode by convolving vector of pixel coordinates with finite length using a special mask. This algorithm also finds the endpoints of the segment. The line parameters were computed by the method of least squares. The algorithm has linear complexity, multiple of number of contour pixels on the binary image.","PeriodicalId":262164,"journal":{"name":"2020 22th International Conference on Digital Signal Processing and its Applications (DSPA)","volume":"109 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130913540","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 2
Application of Parametric DFT in Cepstral Method for Scales Bases Identification 参数DFT在倒谱法尺度基识别中的应用
2020 22th International Conference on Digital Signal Processing and its Applications (DSPA) Pub Date : 2020-03-01 DOI: 10.1109/DSPA48919.2020.9213296
Ponomareva Olga, Ponomarev Alexey, Smirnova Natalia
{"title":"Application of Parametric DFT in Cepstral Method for Scales Bases Identification","authors":"Ponomareva Olga, Ponomarev Alexey, Smirnova Natalia","doi":"10.1109/DSPA48919.2020.9213296","DOIUrl":"https://doi.org/10.1109/DSPA48919.2020.9213296","url":null,"abstract":"Applications of cepstral analysis of energy spectra of signals (ESS), measured by the method of discrete Fourier transform (DFT) are briefly discussed. The problems of cepstral analysis of ESS, the advantages and disadvantages of this type of analysis are investigated. A comparison of the results of revealing the reverse, gear and cyclic frequencies of the gearbox with the digital cepstral method and other digital methods for identifying the bases of harmonic series is given. Based on studies of the problems of digital cepstral processing of ESS, analysis of advantages and disadvantages of this method of identifying the bases of scale (tone series), it is proposed, in order to increase the efficiency and effectiveness of cepstral analysis, that the energy spectra are not measured by the DFT method, but by the parametric DFT (DFT-P) method. The analytical properties of DFT-P are briefly considered. The existence of fast DFT-P (FFT-P) algorithms is proved. An experimental verification of the theoretical results obtained in the work was carried out by the method of numerical simulation.","PeriodicalId":262164,"journal":{"name":"2020 22th International Conference on Digital Signal Processing and its Applications (DSPA)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130992863","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
Adaptive Threshold Selection in Image Smoothing Problems Using a Sigma Filter 使用Sigma滤波器的图像平滑问题的自适应阈值选择
2020 22th International Conference on Digital Signal Processing and its Applications (DSPA) Pub Date : 2020-03-01 DOI: 10.1109/DSPA48919.2020.9213280
A. Novikov, Dmitry I. Ustyukov
{"title":"Adaptive Threshold Selection in Image Smoothing Problems Using a Sigma Filter","authors":"A. Novikov, Dmitry I. Ustyukov","doi":"10.1109/DSPA48919.2020.9213280","DOIUrl":"https://doi.org/10.1109/DSPA48919.2020.9213280","url":null,"abstract":"The method for obtaining an estimate of random component (noise) variance in an image is proposed. Noise variance estimation is used in smoothing sigma filter to form a cutoff threshold for pixels with brightnesses exceeding the brightness of the central pixel in the window. Correct setting of the cutoff threshold allows to save the boundaries of the brightness difference and also to provide noise suppression. Noise variance estimation is performed using a horizontal polynomial filter, which provides an unbiased estimation of polynomials up to third-degree inclusively and, as a result, obtains the correct variance estimation.","PeriodicalId":262164,"journal":{"name":"2020 22th International Conference on Digital Signal Processing and its Applications (DSPA)","volume":"90 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131254812","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
New Approach to Improving the Quality for Images Processed with Fractal Compression 提高分形压缩图像质量的新方法
2020 22th International Conference on Digital Signal Processing and its Applications (DSPA) Pub Date : 2020-03-01 DOI: 10.1109/DSPA48919.2020.9213255
A. Dvorkovich, Nikolay B. Novinsky, Do Ngoc Diep
{"title":"New Approach to Improving the Quality for Images Processed with Fractal Compression","authors":"A. Dvorkovich, Nikolay B. Novinsky, Do Ngoc Diep","doi":"10.1109/DSPA48919.2020.9213255","DOIUrl":"https://doi.org/10.1109/DSPA48919.2020.9213255","url":null,"abstract":"a new method for improvement of images compressed using fractal compression method is under investigation. The experiments had show that the method is principally functional. The improvement of restored images (in terms of PSNR) is relatively small but the method is computationally simple. The effect of its usage is waiting to be greater for large images and complex images.","PeriodicalId":262164,"journal":{"name":"2020 22th International Conference on Digital Signal Processing and its Applications (DSPA)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126669578","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
LSTM-type Neural Network Implementation on a Processor Based on Neuromatrix and RISC Cores for Resource-Limited Applications 基于神经矩阵和RISC内核的lstm型神经网络在处理器上的实现
2020 22th International Conference on Digital Signal Processing and its Applications (DSPA) Pub Date : 2020-03-01 DOI: 10.1109/DSPA48919.2020.9213291
Vladislav Zholondkovskiy, S. Landyshev, Y. Bocharov, V. Butuzov
{"title":"LSTM-type Neural Network Implementation on a Processor Based on Neuromatrix and RISC Cores for Resource-Limited Applications","authors":"Vladislav Zholondkovskiy, S. Landyshev, Y. Bocharov, V. Butuzov","doi":"10.1109/DSPA48919.2020.9213291","DOIUrl":"https://doi.org/10.1109/DSPA48919.2020.9213291","url":null,"abstract":"In this paper, we consider the implementation of a recurrent artificial neural network LSTM on the NM6407 digital signal processor (DSP) that is optimized for performing vector and matrix calculations. It contains two NeuroMatrix NMC4 cores, each of which includes RISC processor and vector coprocessor. The architectural features and processor resources are considered, as well as an assessment of its performance in the implementation of the LSTM network to solve a typical classification problem. The implementation of this type of network on the NM6407 tensor core accelerated computations by a factor of 15–350 compared to a scalar processor.","PeriodicalId":262164,"journal":{"name":"2020 22th International Conference on Digital Signal Processing and its Applications (DSPA)","volume":"16 3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126631083","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Method for Calculating Performance of All-Optical Linear System of Transmitting and Processing Information 全光线性信息传输与处理系统性能的计算方法
2020 22th International Conference on Digital Signal Processing and its Applications (DSPA) Pub Date : 2020-03-01 DOI: 10.1109/DSPA48919.2020.9213274
K. Vytovtov, E. Barabanova, V. Vishnevskiy
{"title":"Method for Calculating Performance of All-Optical Linear System of Transmitting and Processing Information","authors":"K. Vytovtov, E. Barabanova, V. Vishnevskiy","doi":"10.1109/DSPA48919.2020.9213274","DOIUrl":"https://doi.org/10.1109/DSPA48919.2020.9213274","url":null,"abstract":"In this paper the authors propose the accurate analytical method for calculating performance of all-optical linear system of transmitting and processing information for the first time. It also is considered the practical application of this method for the example for the next generation communication network switching element that has been previously developed by authors. In addition the method takes into account the signal delay at the interface between media, transients in the control circuits and the signal delay due to passing through the medium. The paper also presents the equivalent electrical circuit of the next-generation photon switch for the first time. This way allows us to take into account the influence of parasitic inductors and capacitances of the structure.","PeriodicalId":262164,"journal":{"name":"2020 22th International Conference on Digital Signal Processing and its Applications (DSPA)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115733496","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 5
Improving the Efficiency of the Method of Stochastic Gradient Identification of Objects in Binary and Grayscale Images Using Their Preprocessing 利用二值和灰度图像预处理提高随机梯度识别方法的效率
2020 22th International Conference on Digital Signal Processing and its Applications (DSPA) Pub Date : 2020-03-01 DOI: 10.1109/DSPA48919.2020.9213272
Magdeev Radik Gilfanovich, Tashlinskii Alexander Grigorevich
{"title":"Improving the Efficiency of the Method of Stochastic Gradient Identification of Objects in Binary and Grayscale Images Using Their Preprocessing","authors":"Magdeev Radik Gilfanovich, Tashlinskii Alexander Grigorevich","doi":"10.1109/DSPA48919.2020.9213272","DOIUrl":"https://doi.org/10.1109/DSPA48919.2020.9213272","url":null,"abstract":"In this paper, we consider ways to improve the stochastic gradient method efficiency of object identification for binary and grayscale images using methods of image preprocessing. Identification of an object is understood as the recognition of an object on the image with its parameters estimation. Low-pass filtering and image equalization are considered as preliminary processing. The identification parameters convergence rate is investigated. The optimal sizes of Gaussian filter mask for binary and grayscale images were found based on COIL-20 images.","PeriodicalId":262164,"journal":{"name":"2020 22th International Conference on Digital Signal Processing and its Applications (DSPA)","volume":"85 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126238669","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
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