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Secure Communication for Cognitive Networks Based on MIMO and Spreading LDPC Codes 基于MIMO和LDPC码扩展的认知网络安全通信
WSEAS TRANSACTIONS ON SIGNAL PROCESSING Pub Date : 2021-12-31 DOI: 10.37394/232014.2021.17.16
Yang Xiao, Kaiyao Wang
{"title":"Secure Communication for Cognitive Networks Based on MIMO and Spreading LDPC Codes","authors":"Yang Xiao, Kaiyao Wang","doi":"10.37394/232014.2021.17.16","DOIUrl":"https://doi.org/10.37394/232014.2021.17.16","url":null,"abstract":"The existing cognitive radio (CR) systems lack the ability to deal with the attack of a pretended primary user (PPU), which can palsy cognitive network. To solve the problem, in this paper, a secure cognitive radio (CR) system is proposed. The proposed systems combines MIMO and spread spectrum techniques as well as low density parity check (LDPC) codes to cancel the electronic interference of PPU. The simulation results in Rayleigh flat-fading channel show that, comparing with MIMO cognitive system without the proposed method, the proposed approach can effectively cancel electronic interference from enemy and channel noises interference, and obtain about 9dB gain.","PeriodicalId":305800,"journal":{"name":"WSEAS TRANSACTIONS ON SIGNAL PROCESSING","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127619851","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 Gaussian Distribution Threshold Spatial Frequency Denoising Image 自适应高斯分布阈值空间频率图像去噪
WSEAS TRANSACTIONS ON SIGNAL PROCESSING Pub Date : 2021-12-29 DOI: 10.37394/232014.2021.17.15
Benziane Sarah, Benyamina Abou El Hassen
{"title":"Adaptive Gaussian Distribution Threshold Spatial Frequency Denoising Image","authors":"Benziane Sarah, Benyamina Abou El Hassen","doi":"10.37394/232014.2021.17.15","DOIUrl":"https://doi.org/10.37394/232014.2021.17.15","url":null,"abstract":"The details of an image with noise can be restored by removing the noise with an appropriate image denoising method. In this work is proposed and tested, an image denoising methods based on the use of an improved generalized adaptive Gaussian distribution threshold in the wavelet domain. Different wavelet transform methods are used in conjunction with an AGGD threshold to experiment with the proposed approach in order to obtain better results for the image denoising process and, consequently, to select the most suitable filter. The wavelet transform working on the frequencies of separate subbands of an image is a powerful method for image analysis. According to this experimental work, the proposed method show better results. The MSE and PSNR values get are used to measure the enhancement of denoised images.","PeriodicalId":305800,"journal":{"name":"WSEAS TRANSACTIONS ON SIGNAL PROCESSING","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124926052","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
Energy Distribution Evaluation Using Renyi Entropy Measures With Application in EEG Data Analysis 基于人益熵的能量分布评价及其在脑电数据分析中的应用
WSEAS TRANSACTIONS ON SIGNAL PROCESSING Pub Date : 2021-09-29 DOI: 10.37394/232014.2021.17.14
T. Popescu
{"title":"Energy Distribution Evaluation Using Renyi Entropy Measures With Application in EEG Data Analysis","authors":"T. Popescu","doi":"10.37394/232014.2021.17.14","DOIUrl":"https://doi.org/10.37394/232014.2021.17.14","url":null,"abstract":"The ”corrected” EEG recordings, after artifact removing, may be the subject of further investigations, for example segmentation and energy distribution, resulting new informa- tion to be used for feature extraction, of great help for medical diagnosis. The paper presents a generally method for energy distribution evalua- tion using measures of R´enyi entropy. The pre- sented approach ensures the possibility of quan- titative analysis of the information contained in time-frequency distribution of EEG signals. The proposed procedure is applied with good results in the analysis of a sample lowpass event-related potentials (ERP) data, collected from 13 scalp and 1 EOG electrodes.","PeriodicalId":305800,"journal":{"name":"WSEAS TRANSACTIONS ON SIGNAL PROCESSING","volume":"88 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116775598","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
One-Step Predictive H2 FIR Tracking under Persistent Disturbances and Data Errors 持续干扰和数据误差下的一步预测H2 FIR跟踪
WSEAS TRANSACTIONS ON SIGNAL PROCESSING Pub Date : 2021-08-06 DOI: 10.37394/232014.2021.17.12
O. Ibarra-Manzano, J. Andrade-Lucio, Y. Shmaliy, Yuan Xu
{"title":"One-Step Predictive H2 FIR Tracking under Persistent Disturbances and Data Errors","authors":"O. Ibarra-Manzano, J. Andrade-Lucio, Y. Shmaliy, Yuan Xu","doi":"10.37394/232014.2021.17.12","DOIUrl":"https://doi.org/10.37394/232014.2021.17.12","url":null,"abstract":"Information loss often occurs in industrial processes under unspecified impacts and data errors. Therefore robust predictors are required to assure the performance. We design a one-step H2 optimal finite impulse response (H2-OFIR) predictor under persistent disturbances, measurement errors, and initial errors by minimizing the squared weighted Frobenius norms for each error. The H2-OFIR predictive tracker is tested by simulations assuming Gauss-Markov disturbances and data errors. It is shown that the H2-OFIR predictor has a better robustness than the Kalman and unbiased FIR predictor. An experimental verification is provided based on the moving robot tracking problem","PeriodicalId":305800,"journal":{"name":"WSEAS TRANSACTIONS ON SIGNAL PROCESSING","volume":"100 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129524778","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
UFIR State Estimator for Network Systems with Two-Step Delayed and Lost Data 具有两步延迟和丢失数据的网络系统的UFIR状态估计
WSEAS TRANSACTIONS ON SIGNAL PROCESSING Pub Date : 2021-08-06 DOI: 10.37394/232014.2021.17.11
Karen J. Uribe-Murcia, Y. Shmaliy
{"title":"UFIR State Estimator for Network Systems with Two-Step Delayed and Lost Data","authors":"Karen J. Uribe-Murcia, Y. Shmaliy","doi":"10.37394/232014.2021.17.11","DOIUrl":"https://doi.org/10.37394/232014.2021.17.11","url":null,"abstract":"Wireless communication over networks often produces issues associated with delayed and missing data. In this paper, we consider one-step and two-step delays. The state space model is transformed to have no delay with new system and observation matrices. To mitigate the effect, we develop the unbiased finite impulse response (UFIR) filter, Kalman filter (KF), and game theory H∞ filter for Bernoulli-distributed delays with possible packet dropouts. A comparative study of the filters developed is provided under the uncertain noise and transmission probability. Numerical simulation is conducted employing a GPSbased tracking network system. A better performance of the UFIR filter is demonstrated experimentally","PeriodicalId":305800,"journal":{"name":"WSEAS TRANSACTIONS ON SIGNAL PROCESSING","volume":"51 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124759854","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
Robust Real Time Multiple Human Detection and Tracking for Automatic Visual Surveillance System 自动视觉监控系统的鲁棒实时多人检测与跟踪
WSEAS TRANSACTIONS ON SIGNAL PROCESSING Pub Date : 2021-08-06 DOI: 10.37394/232014.2021.17.13
Lakhyadeep Konwar, A. K. Talukdar, K. K. Sarma
{"title":"Robust Real Time Multiple Human Detection and Tracking for Automatic Visual Surveillance System","authors":"Lakhyadeep Konwar, A. K. Talukdar, K. K. Sarma","doi":"10.37394/232014.2021.17.13","DOIUrl":"https://doi.org/10.37394/232014.2021.17.13","url":null,"abstract":"Detection of human for visual surveillance system provides most important rule for advancement in the design of future automation systems. Human detection and tracking are important for future automatic visual surveillance system (AVSS). In this paper we have proposed a flexible technique for proper human detection and tracking for the design of AVSS. We used graph cut for segment human as a foreground image by eliminating background, extract some feature points by using HOG, SVM classifier for proper classification and finally we used particle filter for tracking those of detected human. Our system can easily detect and track humans in poor lightening conditions, color, size, shape, and clothing due to the use of HOG feature descriptor and particle filter. We use graph cut based segmentation technique, therefore our system can handle occlusion at about 88%. Due to the use of HOG to extract features our system can properly work in indoor as well as outdoor environments with 97.61% automatic human detection and 92% automatic human detection and tracking accuracy of multiple human","PeriodicalId":305800,"journal":{"name":"WSEAS TRANSACTIONS ON SIGNAL PROCESSING","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127269091","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
GNSS Signal Processing with EKF and UKF for Stationary User Position Estimation 基于EKF和UKF的GNSS信号处理用于固定用户位置估计
WSEAS TRANSACTIONS ON SIGNAL PROCESSING Pub Date : 2021-08-05 DOI: 10.37394/232014.2021.17.10
Mert Sever, C. Hajiyev
{"title":"GNSS Signal Processing with EKF and UKF for Stationary User Position Estimation","authors":"Mert Sever, C. Hajiyev","doi":"10.37394/232014.2021.17.10","DOIUrl":"https://doi.org/10.37394/232014.2021.17.10","url":null,"abstract":"Precise and accurate estimation of state vectors is an important process during position determination. In this study, Extended Kalman Filter (EKF) and Unscented Kalman Filter (UKF) of stationary user, state vectors defined in Earth Centered Inertial (ECI) coordinate system, accompanied by GNSS measurement data. It is aimed to make estimations with methods. EKF and UKF methods were compared with each other. In this study, the effects of nonlinear motion analysis and linearization methods on state vector estimations were investigated. Thanks to this study, estimations of the positioning information required during the specific tasks of many moving platforms have been made.","PeriodicalId":305800,"journal":{"name":"WSEAS TRANSACTIONS ON SIGNAL PROCESSING","volume":"81 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134181930","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 Segmentation of Skin Regions in Thermographic Images: an Experimental Study 热成像图像中皮肤区域自动分割的实验研究
WSEAS TRANSACTIONS ON SIGNAL PROCESSING Pub Date : 2021-08-02 DOI: 10.37394/232014.2021.17.7
C. Roseiro, L. Roseiro
{"title":"Automatic Segmentation of Skin Regions in Thermographic Images: an Experimental Study","authors":"C. Roseiro, L. Roseiro","doi":"10.37394/232014.2021.17.7","DOIUrl":"https://doi.org/10.37394/232014.2021.17.7","url":null,"abstract":"Infrared thermography can be applied in medical applications, such as monitoring skin temperature in inflammatory processes. The possibility for health care professionals and patients to be able to easily, quickly and economically, at anytime and anywhere, monitor the skin temperature distribution through the acquisition of images to control skin infections is extremely important nowadays. This work aims to develop an automatic methodology for the segmentation, identification, analysis and diagnosis of skin inflammation based on thermographic images. The study compares thermographic images from subregions of the hand skin and presents an experimental investigation to segment and identify features in the images automatically. Left and righthand images from two volunteers’ obtained in different conditions, such as cold action, activity action (opening and closing the hand), and friction action (rub both hands), were considered and analyzed. The obtained results demonstrate the feasibility of the implemented procedures and encourage developing and implementing an operating system to monitor skin infections in thermographic images.","PeriodicalId":305800,"journal":{"name":"WSEAS TRANSACTIONS ON SIGNAL PROCESSING","volume":"79 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128252350","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
On Stochastic Differential Equations Generating Non-gaussian Continuous Markov Process 生成非高斯连续马尔可夫过程的随机微分方程
WSEAS TRANSACTIONS ON SIGNAL PROCESSING Pub Date : 2021-08-02 DOI: 10.37394/232014.2021.17.8
V. Lyandres
{"title":"On Stochastic Differential Equations Generating Non-gaussian Continuous Markov Process","authors":"V. Lyandres","doi":"10.37394/232014.2021.17.8","DOIUrl":"https://doi.org/10.37394/232014.2021.17.8","url":null,"abstract":"Continuous Markov processes widely used as a tool for modeling random phenomena in numerous applications, can be defined as solutions of generally nonlinear stochastic differential equations (SDEs) with certain drift and diffusion coefficients which together governs the process’ probability density and correlation functions. Usually it is assumed that the diffusion coefficient does not depend on the process' current value. For presentation of non-Gaussian real processes this assumption becomes undesirable, leads generally to complexity of the correlation function estimation. We consider its analysis for the process with particular pairs of the drift and diffusion coefficients providing the given stationary probability distribution of the considered process","PeriodicalId":305800,"journal":{"name":"WSEAS TRANSACTIONS ON SIGNAL PROCESSING","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124443155","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
Dimension Reduction Analysis of Signal Manifold for Vowels in Time and Frequency Domain 元音信号流形的时频降维分析
WSEAS TRANSACTIONS ON SIGNAL PROCESSING Pub Date : 2021-08-02 DOI: 10.37394/232014.2021.17.9
{"title":"Dimension Reduction Analysis of Signal Manifold for Vowels in Time and Frequency Domain","authors":"","doi":"10.37394/232014.2021.17.9","DOIUrl":"https://doi.org/10.37394/232014.2021.17.9","url":null,"abstract":"In this paper, the LLE and ISOMAP algorithms in manifold learning are applied them to the analysis of vowel signals in time and frequency domain. Time domain simulation results show that the two dimensionality reduction methods can implement two-dimensional visualization of signals while preserving the high-dimensional manifold structure of original signals as much as possible. The time-frequency domain dimension reduction analysis of vowel signal manifold effectively solves the problem that high-dimensional speech signals can’t be intuitively felt, and provides a new potential way for signal classification. The frequency domain analysis is further optimized on the basis of time domain simulation. Because half of the amplitude values in DFT is used in the simulation, the two-dimensional manifold of the signal is roughly linearly distributed, which can effectively reduce redundancy and make the signal more compactly expressed in the frequency domain","PeriodicalId":305800,"journal":{"name":"WSEAS TRANSACTIONS ON SIGNAL PROCESSING","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130673831","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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