2021 23rd International Conference on Digital Signal Processing and its Applications (DSPA)最新文献_第2页

Electrical Conductivity of Human Skin: Some Metrological Aspects 人体皮肤电导率:一些计量方面

2021 23rd International Conference on Digital Signal Processing and its Applications (DSPA) Pub Date : 2021-03-24 DOI: 10.1109/DSPA51283.2021.9535714

Viktor F. Fedorov, V. Surovtsev, Evgenii B. Laneev, M. N. Muratov, V. Stolyar, Svetlana O. Melkova, Maiia A. Amcheslavskaya

{"title":"Electrical Conductivity of Human Skin: Some Metrological Aspects","authors":"Viktor F. Fedorov, V. Surovtsev, Evgenii B. Laneev, M. N. Muratov, V. Stolyar, Svetlana O. Melkova, Maiia A. Amcheslavskaya","doi":"10.1109/DSPA51283.2021.9535714","DOIUrl":"https://doi.org/10.1109/DSPA51283.2021.9535714","url":null,"abstract":"The article is devoted to the metrological aspects of measuring the electrical conductivity of human skin. These measurements are an integral part of a number of functional diagnostics techniques: electroencephalography, electrophthalmography, electromyography etc. In electropuncture diagnostics, based on a comparison of electrical conductivity at individual acupuncture points with the average for all measured points, the formulation and the nature of the operation on the body are selected. With various methods of electrical stimulation of organs, the effectiveness of the operation depends on the electrical conductivity of the skin. However, until now, there are no generally accepted points of view on the parameters of measuring circuits and the applicability of electrodes made of different materials in the measurement procedure. Since we were unable to find a systematic presentation on this issue in the available sources, we undertook a large study, the first report of which is presented in this article.","PeriodicalId":393602,"journal":{"name":"2021 23rd International Conference on Digital Signal Processing and its Applications (DSPA)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-03-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127282163","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

Reducing the Volume of Broadband Signal Recordings Using a Digital Filter Bank 使用数字滤波器组减少宽带信号记录的音量

2021 23rd International Conference on Digital Signal Processing and its Applications (DSPA) Pub Date : 2021-03-24 DOI: 10.1109/DSPA51283.2021.9535814

Eugeniy M. Lobov, D. N. Shubin, E. O. Lobova

引用次数: 1

Development of New Approaches to Apply Block Versions of Viterbi Algorithm 块版本Viterbi算法应用新方法的发展

2021 23rd International Conference on Digital Signal Processing and its Applications (DSPA) Pub Date : 2021-03-24 DOI: 10.1109/DSPA51283.2021.9535869

V. Zolotarev, G. Ovechkin

{"title":"Development of New Approaches to Apply Block Versions of Viterbi Algorithm","authors":"V. Zolotarev, G. Ovechkin","doi":"10.1109/DSPA51283.2021.9535869","DOIUrl":"https://doi.org/10.1109/DSPA51283.2021.9535869","url":null,"abstract":"The ways to expand the capabilities of new block versions for optimal decoders developed on the basis of Viterbi algorithm when transmitting data over the channels with high noise level are considered. The aim of the work is to analyze the characteristics of new improved optimal decoders of this type which preserve decoding complexity close to the amount of computation in convolutional classical version of this algorithm. The characteristics of a new block decoder both in Gaussian channel and in standard binary symmetric channel are given. The ways of concatenation haven’t been used before are described, the directions for wider research of block Viterbi algorithm and its new implementation versions allowing to increase the length of coding block and expand the possibilities to adapt Viterbi algorithm to various operating conditions are offered. One more problem to be solved by the article presented is to attract the attention of specialists to an increasingly wider sphere of research where the technologies and paradigms of Optimization Theory find much higher application in comparison with the earlier “classical” coding theory applied.","PeriodicalId":393602,"journal":{"name":"2021 23rd International Conference on Digital Signal Processing and its Applications (DSPA)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-03-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128896884","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

Matrix Multiplication Using Distributed Arithmetic 矩阵乘法使用分布式算法

2021 23rd International Conference on Digital Signal Processing and its Applications (DSPA) Pub Date : 2021-03-24 DOI: 10.1109/DSPA51283.2021.9535808

V. Lesnikov, T. Naumovich, A. Chastikov

引用次数: 0

Signal Processing of Doppler Microwave Vibration Sensors with Quadrature Transformation 多普勒微波振动传感器的正交变换信号处理

2021 23rd International Conference on Digital Signal Processing and its Applications (DSPA) Pub Date : 2021-03-24 DOI: 10.1109/DSPA51283.2021.9535807

D. Khablov

引用次数: 0

Determination of the Optimal Neural Network Parameters for Human Movements Classification Using Data of the Wearable Personal Devices 基于可穿戴设备数据的人体运动分类最佳神经网络参数确定

2021 23rd International Conference on Digital Signal Processing and its Applications (DSPA) Pub Date : 2021-03-24 DOI: 10.1109/DSPA51283.2021.9535784

A. Grecheneva, N. Dorofeev, A. Zhdanov

{"title":"Determination of the Optimal Neural Network Parameters for Human Movements Classification Using Data of the Wearable Personal Devices","authors":"A. Grecheneva, N. Dorofeev, A. Zhdanov","doi":"10.1109/DSPA51283.2021.9535784","DOIUrl":"https://doi.org/10.1109/DSPA51283.2021.9535784","url":null,"abstract":"The article is devoted to solving the problem of improving the quality of the classification of human movements according to accelerometric data of wearable monitoring devices. An algorithm for working with accelerometric data is described, which makes it possible to reduce the measured data arrays to a single dimension, as well as generate data for training a neural network for the selection and classification of movements. The choice of the optimal parameters of the neural network for the classification of movements was substantiated, which was based on a comparative assessment of the values of the percentage of errors in the classification of movements and the parameter of cross entropy. For training and testing of the neural network, the data of the results of experimental studies of the parameters of movements during the performance of squat and jump exercises were used by 20 subjects (10 women and 10 men at the age of 18 ±3.4 years). The average value of the probability of correct classification of movements based on the data for each of the subjects was 0.94, which allows concluding that there are prospects for using the developed algorithm in biotechnical systems and dynamic biometric systems.","PeriodicalId":393602,"journal":{"name":"2021 23rd International Conference on Digital Signal Processing and its Applications (DSPA)","volume":"193 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-03-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124354632","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

Reception of Short QAM Data Packets Using Sequential and Partial GLRT 使用顺序和部分GLRT接收短QAM数据包

2021 23rd International Conference on Digital Signal Processing and its Applications (DSPA) Pub Date : 2021-03-24 DOI: 10.1109/DSPA51283.2021.9535980

A. Sergienko

{"title":"Reception of Short QAM Data Packets Using Sequential and Partial GLRT","authors":"A. Sergienko","doi":"10.1109/DSPA51283.2021.9535980","DOIUrl":"https://doi.org/10.1109/DSPA51283.2021.9535980","url":null,"abstract":"Two methods are proposed to improve error rate performance for reception of short packets with quadrature amplitude modulation (QAM). Both approaches are based on the same idea as generalized likelihood ratio test (GLRT) but have reduced computational cost that scales linearly in both packet length and signal constellation size. The first method, sequential GLRT, is based on demodulation of QAM symbols sequentially using GLRT decision rule and treating previously demodulated symbols as known data. The second method, partial GLRT, uses partial search over a portion of packet while remaining data symbols are demodulated with hard decisions, and Euclidean distance between these decisions and received signal samples is used as a decision metric to improve detection reliability. Computer simulation results showed that partial GLRT provides bit error rate (BER) very close to achievable limit even for very short QAM packets where the number of data symbols is equal to the QAM constellation size. The loss at high signal-to-noise ratio is about 0.3 dB for 16-QAM and about 0.085 dB for 64-QAM. For sequential GLRT, BER performance is worse, but this method has lower computational cost and can be useful for choosing a suitable trade-off between BER performance and complexity.","PeriodicalId":393602,"journal":{"name":"2021 23rd International Conference on Digital Signal Processing and its Applications (DSPA)","volume":"71 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-03-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122597285","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

Modeling and Analysis the Characteristics of an Ensemble of Signal Implementations, Distorted by Fluctuation Multiplicative Noise 受波动乘性噪声畸变的信号实现集合的建模与特性分析

2021 23rd International Conference on Digital Signal Processing and its Applications (DSPA) Pub Date : 2021-03-24 DOI: 10.1109/DSPA51283.2021.9535963

Vladimir Mikhaylovich, V. I. Volovach

{"title":"Modeling and Analysis the Characteristics of an Ensemble of Signal Implementations, Distorted by Fluctuation Multiplicative Noise","authors":"Vladimir Mikhaylovich, V. I. Volovach","doi":"10.1109/DSPA51283.2021.9535963","DOIUrl":"https://doi.org/10.1109/DSPA51283.2021.9535963","url":null,"abstract":"The relationship of the structure of the signal distorted by the noise with the structure of the undistorted signal and the characteristics of the noise modulation function is considered. An expression is obtained for a signal distorted by a deterministic multiplicative noise, in which the noise component is a separate term. It is shown that for an ensemble of realizations of a signal distorted by a stationary fluctuation multiplicative noise, the mathematical expectation of this signal can be considered as its undistorted part; there is also an noise component in the ensemble. The relative level of the undistorted part of the signal is determined by the joint distribution function of the changes in the amplitude and phase at coinciding time instants. It is shown that the fluctuation of the function of the interfering component is a complex envelope of the interfering component of the harmonic signal. Expressions are obtained for the correlation function of the interfering one leaving for a constant and random value of the initial phase of the signal. It is shown that the averaged correlation function of the noise component of the signal distorted by multiplicative noise can be expressed in terms of the autocorrelation function of the signal and the correlation function of noise modulation fluctuations. It is also shown that the energy spectrum of the interfering component is wider than the energy spectrum of the undistorted signal. The main characteristics of the considered ensemble of signal realizations are the relative level of the undistorted part of the signal and the correlation function or energy spectrum of the interfering component, which characterize fluctuations of the distorted signal.","PeriodicalId":393602,"journal":{"name":"2021 23rd International Conference on Digital Signal Processing and its Applications (DSPA)","volume":"61 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-03-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115602482","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

Digital Signal Processing Methods for Geoacoustic Emission 地声发射的数字信号处理方法

2021 23rd International Conference on Digital Signal Processing and its Applications (DSPA) Pub Date : 2021-03-24 DOI: 10.1109/DSPA51283.2021.9535762

O. Lukovenkova, A. Solodchuk

引用次数: 0

Development of an Algorithm for Suppression of Concentrated Acoustic Noise in Telecommunication Systems 电信系统中集中噪声抑制算法的发展

2021 23rd International Conference on Digital Signal Processing and its Applications (DSPA) Pub Date : 2021-03-24 DOI: 10.1109/DSPA51283.2021.9535906

Natalia Evgenievna Kholkina, A. Proskuryakov, A. Belov

引用次数: 0