2022 24th International Conference on Digital Signal Processing and its Applications (DSPA)最新文献_第5页

Novel EMD-Based Technological Procedure for Speech Signal Processing 基于emd的语音信号处理新方法

2022 24th International Conference on Digital Signal Processing and its Applications (DSPA) Pub Date : 2022-03-30 DOI: 10.1109/dspa53304.2022.9790747

A. Alimuradov, A. Tychkov, P. Churakov, Bogdan A. Porezanov, Ilya O. Steshkin, Kirill E. Platonov, A. Baranova, D. S. Dudnikov

{"title":"Novel EMD-Based Technological Procedure for Speech Signal Processing","authors":"A. Alimuradov, A. Tychkov, P. Churakov, Bogdan A. Porezanov, Ilya O. Steshkin, Kirill E. Platonov, A. Baranova, D. S. Dudnikov","doi":"10.1109/dspa53304.2022.9790747","DOIUrl":"https://doi.org/10.1109/dspa53304.2022.9790747","url":null,"abstract":"The article presents a novel technological procedure for speech signal processing based on the empirical mode decomposition, being an adaptive time-frequency analysis method. The proposed procedure is based on the uniform splitting of the original speech signal into fragments, the decomposition of fragments into empirical modes, and the formation of new mode speech signals. The goal of the technological procedure elaboration is to expand the space for informatively significant amplitude, time, frequency, and energy characteristics of the original speech signal. A brief description of various types of empirical mode decomposition has been presented, and their advantages and disadvantages have been revealed. The functionality of the proposed technological procedure has been detailed, and the research outcomes have been reported. An analysis of the research results has evidenced that the minimum time for the formation of a set of modal speech signals is afforded when analyzing 300–1000 ms fragments; the minimum error in the formation of a set of mode speech signals is obtained when the fragments are decomposed into 8–10 empirical modes, and the difference between the original and reconstructed signals being less than 0.001 V (0.1 %). It has been concluded that the proposed technological procedure actually provides an expansion of the space for informatively significant amplitude, time, frequency, and energy characteristics due to the formation of a set of new mode speech signals. Thus, it can be efficiently used in the formation of an optimal set of speech parameters relevant to naturally expressed human emotions.","PeriodicalId":428492,"journal":{"name":"2022 24th International Conference on Digital Signal Processing and its Applications (DSPA)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130896197","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

Development of a System for Localizing the Markings of Railway Wheels in a Video Stream 视频流中铁路车轮标记定位系统的开发

2022 24th International Conference on Digital Signal Processing and its Applications (DSPA) Pub Date : 2022-03-30 DOI: 10.1109/dspa53304.2022.9790785

Andrey Mareev, A. Orlov

引用次数: 1

Quality Control Automation of IP Audio Codec Software IP音频编解码器软件质量控制自动化

2022 24th International Conference on Digital Signal Processing and its Applications (DSPA) Pub Date : 2022-03-30 DOI: 10.1109/dspa53304.2022.9790787

Dmitrii Maleev

引用次数: 0

Technique for Lowering the Impact of Non-linear Distortions on Accuracy of Reception of Signals Transmitted in Multiple Paths 降低非线性失真对多路径信号接收精度影响的技术

2022 24th International Conference on Digital Signal Processing and its Applications (DSPA) Pub Date : 2022-03-30 DOI: 10.1109/dspa53304.2022.9790764

A. Degtyaryov, A. Kozhemyakin, I. Afonin, A. Polyakov

引用次数: 0

Digital Transformation is a Way to Increase the Effectiveness of Personal Telemedicine 数字化转型是提高个人远程医疗效率的一种方式

2022 24th International Conference on Digital Signal Processing and its Applications (DSPA) Pub Date : 2022-03-30 DOI: 10.1109/dspa53304.2022.9790766

Viktor F. Fedorov, V. Stolyar

引用次数: 0

P300 Evoked Potential Detection Method Using the MSI Algorithm in the Problem of Human-Computer Interaction 人机交互问题中基于MSI算法的P300诱发电位检测方法

2022 24th International Conference on Digital Signal Processing and its Applications (DSPA) Pub Date : 2022-03-30 DOI: 10.1109/dspa53304.2022.9790781

Y. Turovsky, A. Vakhtin, S. Borzunov, E. Martynenko

{"title":"P300 Evoked Potential Detection Method Using the MSI Algorithm in the Problem of Human-Computer Interaction","authors":"Y. Turovsky, A. Vakhtin, S. Borzunov, E. Martynenko","doi":"10.1109/dspa53304.2022.9790781","DOIUrl":"https://doi.org/10.1109/dspa53304.2022.9790781","url":null,"abstract":"The paper presents a method for detecting evoked potentials from a background electroencephalogram based on one iteration of brain electrical activity in response to the stimulation process. The basis of the method is the formation of a quasi-periodic sequence of the component of the evoked potential (EP) of interest to the researcher, due to the addition of reference fragments of the EP with a given time shift. The resulting sequence is compared with the reference EP accumulated within the framework of the coherent accumulation approach and appropriately transformed so that the period of the desired component coincides with that in the signal under study. The comparison is carried out taking into account the Multivariate Synchronization Index (MSI) method, which is a further development of the canonical correlation method. The results obtained can be applied to the tasks of brain-computer interfaces (BCI) based on the P300 potential. In addition, this solution is applicable to the isolation of any biomedical signal containing single or non-periodic components.","PeriodicalId":428492,"journal":{"name":"2022 24th International Conference on Digital Signal Processing and its Applications (DSPA)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122140080","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

Assessment of Chanting Effects Using EEG Signals 利用脑电图信号评价诵经效果

2022 24th International Conference on Digital Signal Processing and its Applications (DSPA) Pub Date : 2022-03-30 DOI: 10.1109/dspa53304.2022.9790754

Kritiprasanna Das, Pankaj Verma, R. B. Pachori

{"title":"Assessment of Chanting Effects Using EEG Signals","authors":"Kritiprasanna Das, Pankaj Verma, R. B. Pachori","doi":"10.1109/dspa53304.2022.9790754","DOIUrl":"https://doi.org/10.1109/dspa53304.2022.9790754","url":null,"abstract":"Meditation is practiced since the old days and its popularity is growing in recent years to get better mental as well as physical health in a natural way. A rapidly increasing number of studies are involved in finding the biological mech-anism underlying the beneficial impacts of meditation. Surface electroencephalogram (EEG) is a non-invasive way to record the electrical activity of the brain which carries important signature about the different neural processing, going on inside the brain. EEG signals show oscillations at different frequency bands known as EEG rhythms which are associated with divergent neurophysiological states. In this paper, we have analyzed the effect of chanting 'Hare Krishna Mantra’ (HKM) on EEG rhythms. Relative band power of different rhythms, after and before one round (108 times) chanting HKM, are compared. A non-stationary signal decomposition tool, Fourier-Bessel series expansion is used to calculate the band power. After mediation, alpha band power has increased significantly which implies the relaxed and peaceful state of mind. This study on HKM chanting effects on EEG rhythms may show a simple but effective path to control stress, depression, tension, etc.","PeriodicalId":428492,"journal":{"name":"2022 24th International Conference on Digital Signal Processing and its Applications (DSPA)","volume":"94 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132079628","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: 8

Residual Systematic Error Terms Estimation Method by Digital Processing the Measurements Results of Complex Reflection Coefficient in Time Domain 复反射系数测量结果的时域数字处理残差系统误差项估计方法

2022 24th International Conference on Digital Signal Processing and its Applications (DSPA) Pub Date : 2022-03-30 DOI: 10.1109/dspa53304.2022.9790784

I. Malay, Evgeniy U. Kharitonov, Anastasiya F. Kharitonova

引用次数: 0

Algorithm for Preliminary Processing Channel State Information of the WIFI Communication Channel for Building Indoor Positioning Systems 建筑室内定位系统WIFI通信信道状态信息的初步处理算法

2022 24th International Conference on Digital Signal Processing and its Applications (DSPA) Pub Date : 2022-03-30 DOI: 10.1109/dspa53304.2022.9790751

A. Astafiev, A. Zhiznyakov, A. Zakharov, D. Privezentsev

{"title":"Algorithm for Preliminary Processing Channel State Information of the WIFI Communication Channel for Building Indoor Positioning Systems","authors":"A. Astafiev, A. Zhiznyakov, A. Zakharov, D. Privezentsev","doi":"10.1109/dspa53304.2022.9790751","DOIUrl":"https://doi.org/10.1109/dspa53304.2022.9790751","url":null,"abstract":"The work is devoted to the development of an algorithm for preprocessing channel state information of the WIFI communication channel for building indoor positioning systems. The relevance of the work is associated with the rapid growth of the market for mobile smart devices. The use of such devices requires higher positioning accuracy than existing methods and approaches can provide. In this regard, the problem solved in the framework of the study is an urgent scientific and technical problem. The paper proposes consideration of information about the channel state information, as opposed to the method of measuring the RSSI signal level, adopted in most radio positioning algorithms. Unlike RSSI, the link state information includes information about the signal transmitted on each of the subcarriers. The paper considers the WiFi4 standard with 56 sub carriers. The data packet contains information about the phase and amplitude of the signal. The study considers a technique for obtaining data on the channel state information, its collection, preprocessing and synchronization. The algorithms considered in the article make it possible to prepare initial, raw data for use in practical indoor positioning algorithms using data mining methods.","PeriodicalId":428492,"journal":{"name":"2022 24th International Conference on Digital Signal Processing and its Applications (DSPA)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130099392","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

Automatic Diagnosis of Type of Glaucoma Using Order-One 2D-FBSE-EWT order - 1 2D-FBSE-EWT自动诊断青光眼类型

2022 24th International Conference on Digital Signal Processing and its Applications (DSPA) Pub Date : 2022-03-30 DOI: 10.1109/dspa53304.2022.9790762

P. Chaudhary, Sujay Jain, Tina Damani, Shirali Gokharu, R. B. Pachori

{"title":"Automatic Diagnosis of Type of Glaucoma Using Order-One 2D-FBSE-EWT","authors":"P. Chaudhary, Sujay Jain, Tina Damani, Shirali Gokharu, R. B. Pachori","doi":"10.1109/dspa53304.2022.9790762","DOIUrl":"https://doi.org/10.1109/dspa53304.2022.9790762","url":null,"abstract":"This paper presents a framework for the automatic classification of Primary Angle-Closure Glaucoma (PACG), Pri-mary Open-Angle Glaucoma (POAG), and secondary Glaucoma from a normal subject. Order-one two-dimensional-Fourier-Bessel series expansion-empirical wavelet transform (2D-FBSE-EWT) based fusion ensemble ResNet-50 model is used in this work. Order-one 2D-FBSE-EWT decomposes the fundus images into sub-images. Subsequently, each sub-image is fed to the ResNet-50 model for extraction of deep features. Thereafter, deep features from each sub-images are ensembled. The ensembled features are then reduced using principal component analysis, and finally the reduced features are fed to a Softmax classifier for classification. Besides this approach, 4-channel, 3-channel (diagonal-wise grouping), and 2-channel (diagonal-wise grouping and neglecting diagonal detail component) sub-image groupings are also compared at 5-fold and 10-fold cross-validation. The 3-channel order-one 2D-FBSE-EWT based fusion ensemble ResNet-50 model provided an accuracy of 93% for the balanced database whereas it was limited to an accuracy of 78.3% for the unbalanced database at 10-fold cross-validation.","PeriodicalId":428492,"journal":{"name":"2022 24th International Conference on Digital Signal Processing and its Applications (DSPA)","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122804525","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