{"title":"On BT-limited Signals","authors":"X. Xia","doi":"10.37394/232014.2023.19.2","DOIUrl":"https://doi.org/10.37394/232014.2023.19.2","url":null,"abstract":"In this paper, we introduce and characterize a subspace of bandlimited signals. The subspace consists of all bandlimited signals such that the non-zero parts of their Fourier transforms are pieces of some T bandlimited signals. The signals in the subspace are called BT-limited signals and the subspace is named as BT-limited signal space. For BT-limited signals, a signal extrapolation with an analytic error estimate exists outside the interval [−T, T ] of given signal values with errors. Some new properties about and applying BT-limited signals are also presented.","PeriodicalId":305800,"journal":{"name":"WSEAS TRANSACTIONS ON SIGNAL PROCESSING","volume":"63 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130130914","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}
{"title":"Real Time Distributed Controller For Delta Robots","authors":"Ali Sharida, Iyad Hashlamon","doi":"10.37394/232014.2020.16.12","DOIUrl":"https://doi.org/10.37394/232014.2020.16.12","url":null,"abstract":"This paper investigates a real time distributed controller for a 3 DOF delta robot using low-cost educational simple microcontrollers. The parallel computing technique is used were the computational load is divided among several microcontrollers networked to each other to implement control methods. More specifically, the computation is distributed among four microcontrollers (MCU’s) which are connected to each other using CAN bus protocol. The main MCU is used to compute the control law. Each of the remaining MCU’s is connected to one actuator and its attached encoder to form an Intelligent sensor-actuator system (ISAS). At each sample time, the ISAS broadcast a message using the CAN bus to the main MCU containing the information about the motor position. Then according to the control law, ISAS receives the corresponding controller value that has to be applied to the motor. All required periodic, aperiodic and sporadic tasks, were implemented and will be handled by these MCU’s. Using this design, the computation time of control law can be minimized and implemented using ARDUINO microcontrollers. More, this method increases the flexibility of the system for additional equipment and control by adding more nodes to the network. The results show the applicability of the proposed distributed controller, it can track different types of control signals with acceleration up to 9.8 m/s^2 (1g).","PeriodicalId":305800,"journal":{"name":"WSEAS TRANSACTIONS ON SIGNAL PROCESSING","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-05-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124790245","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}
{"title":"Visualizing Very Large Image Data Sets At Interactive Rates","authors":"Frank Edughom Ekpar, H. Hase, M. Yoneda","doi":"10.37394/232014.2020.16.11","DOIUrl":"https://doi.org/10.37394/232014.2020.16.11","url":null,"abstract":"This paper presents a system for real-time visualization of very large image data sets using ondemand loading and dynamic view prediction. We use a robust image representation scheme for efficient adaptive rendering and introduce a fast perspective view generation module to extend the applicability of the system to panoramic images. We demonstrate the effectiveness of the system by applying it both to imagery that does not require perspective correction and to very large panoramic data sets requiring perspective view generation. Furthermore, we extend and generalize the system to enable a wide range of applications. In a broad set of applications, the system permits smooth, real-time interactive navigation of very large panoramic and non-panoramic image data sets on average personal computers without the use of specialized hardware.","PeriodicalId":305800,"journal":{"name":"WSEAS TRANSACTIONS ON SIGNAL PROCESSING","volume":"8 7","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-05-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120943192","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}
{"title":"An ICSC Model for Detecting Human Skin in JPEG Images","authors":"HANI. K. Almohair","doi":"10.37394/232014.2020.16.9","DOIUrl":"https://doi.org/10.37394/232014.2020.16.9","url":null,"abstract":"The detection of human skin color has proven to be a useful and robust technique for detecting nude images, face detection, localization and tracking. This paper presents an Improved Chromatic Skin Color model to detect the human skin in JPEG images; the ICSC model detected the human skin with detection rates more than 90%. A threshold method and 2D Gaussian model will improve the accuracy of skin regions detected","PeriodicalId":305800,"journal":{"name":"WSEAS TRANSACTIONS ON SIGNAL PROCESSING","volume":"281 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115216436","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}
{"title":"Free Signal Management in Cities Using Density and Average Speed","authors":"J. Mrázek","doi":"10.37394/232014.2020.16.8","DOIUrl":"https://doi.org/10.37394/232014.2020.16.8","url":null,"abstract":"The article focuses on the issue of congested roads in cities. The problems of heavy traffic both large and smaller towns. Some towns in the Czech Republic do not have built bypasses and so there is a heavy traffic congestion at favorite times. Road transport has become one of the most popular forms of transport. This trend is unlikely to change in the near future. The current market offers dynamic traffic management but not with the appropriate effect. Our proposed method belongs to dynamic traffic control based on real traffic control. The proposed method works in real time with the light signaling device behind the monitoring sections. The function of the proposed method is to extend the free passage of the light-signaling device.","PeriodicalId":305800,"journal":{"name":"WSEAS TRANSACTIONS ON SIGNAL PROCESSING","volume":"285 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115529506","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}
{"title":"Software Filtering Applications for the Analysis of Dental Images","authors":"A. Náaji, M. Popescu, Gabriel Calin Sarla","doi":"10.37394/232014.2020.16.7","DOIUrl":"https://doi.org/10.37394/232014.2020.16.7","url":null,"abstract":"Even if digital radiography is performed using modern procedures, which allow viewing and enlarging the image on the computer monitor, sometimes, due to the distortions introduced by the equipment or the need to perform a thorough analysis with a high degree of precision, image processing is required. For this matter, in this paper we present a software application created to help the dental practitioners, when they need a clear image, to discover the dental diseases or other submicroscopic problems on the dental surface, in the incipient phase, bone loss or any other problems that cannot be seen from a medical image, mainly due to the distortions introduced by the equipment. The advantages of dental image processing consist of brightness adjustment (attenuation, accentuation), contrast adjustment (attenuation, accentuation), image negation, histogram equalization, color transformation or noise removal. The paper describes the software accomplishment and implementation of filtering algorithms, which are efficient compared to the existing solutions, which can be used to improve the quality of the medical imaging. The algorithms, implemented in Java, are obtained by modifying the operators and procedures of the fundamental algorithms","PeriodicalId":305800,"journal":{"name":"WSEAS TRANSACTIONS ON SIGNAL PROCESSING","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125241046","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}
{"title":"Quaternary DS-SSMA Communications Employing Generalized Detector over Rayleigh Fading Channels","authors":"V. Tuzlukov","doi":"10.37394/232014.2020.16.6","DOIUrl":"https://doi.org/10.37394/232014.2020.16.6","url":null,"abstract":"This paper deals with an employment of the complex modulators and generalized receivers constructed based on the generalized approach to signal processing (GASP) in noise in quaternary direct-sequence spread-spectrum multiple-access (DS-SSMA) communication systems with complex signature sequences in flat Rayleigh fading. Owing to availability of large sets of complex spreading sequences possessing perfect correlation characteristics, the interest to use the complex spreading sequences in DS-SSMA communication systems has increased. The complex spreading sequences investigated in the present paper are based on the recently introduced orthogonal unified complex Hadamard transform (UCHN) sequences. In the present paper, the complex processing in modulators and generalized receivers is also employed with the purpose to take advantage of the correlation properties of complex signature sequences. We derive the average bit error rate (BER) for quarternary synchronous communications system based on the generalized approach to signal processing in noise first, and then the BER for quaternary asynchronous ones is evaluated using the characteristic function approach. We presented some results based on the Gaussian approximation method for asynchronous communication systems constructed on the basis of the generalized approach to signal processing in noise Computer modeling results demonstrate that the communication systems using UCHT spreading sequences perform generally better than the GOLD sequences and the 4-phase family A sequences. Comparative analysis between the asynchronous communication systems constructed on the basis of the generalized approach to signal processing in noise demonstrates superiority over the asynchronous communication systems employing the correlation receiver.","PeriodicalId":305800,"journal":{"name":"WSEAS TRANSACTIONS ON SIGNAL PROCESSING","volume":"66 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114719398","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}
{"title":"Currency Recognition and Calculation System using Machine Learning Techniques","authors":"Richard Wasi, James Alick, M. Assaf","doi":"10.37394/232014.2020.16.5","DOIUrl":"https://doi.org/10.37394/232014.2020.16.5","url":null,"abstract":"Different currencies are being processed in money exchange shops and banks around the globe on a daily basis, where money exchange and transfer takes place. Identifying different currency is a difficult task and can lead to financial loss. There are approximately 180 currencies being used around the world, and each of them differ in color, size and texture. Thus, to correctly identify different currencies, a currency recognition systems needs to be designed. In this paper, we propose the design of an AlexNet based currency recognition system to recognize different international currency notes. We use 10-fold Cross Validation to obtain the cross-validation results of the AlexNet model. The features for the Alex model is extracted from the images back and front of each currency note. We also explore and implement deep learning models to compare the performance of the AlexNet model.","PeriodicalId":305800,"journal":{"name":"WSEAS TRANSACTIONS ON SIGNAL PROCESSING","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-03-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130807927","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}
Sandra Márquez-Figueroa, Y. Shmaliy, O. Ibarra-Manzano
{"title":"Removing Artifacts from EMG Envelope for Improving Myoelectric Robot Arm Control","authors":"Sandra Márquez-Figueroa, Y. Shmaliy, O. Ibarra-Manzano","doi":"10.37394/232014.2020.16.4","DOIUrl":"https://doi.org/10.37394/232014.2020.16.4","url":null,"abstract":"There are analysis methods of biomedical signalfeatures at present to know any information regarding the humanbody. It is to use the extracted features from the EMG signalto predict human motion and its associated efforts by usingsignals given by the motor unit action. Steps to process theEMG signal are envelope acquiring, artifacts filtering, estimationsmoothing, EMG value standardizing, feature classifying, andmotion recognizing. Different methods are useful to achieve thisgoal and apply by experimental projects. Using a database ofEMG signals, we calculate the envelope by using the rectifiedsignal, where we take the absolute number of EMG signals so thatall values become positive. In the first step, we shall now proceedto remove EMG envelope artifacts by using filters such as theKalman filter (KF), H1 filter, unbiased finite impulse response (UFIR), cKF, cH1, and cUFIR. The last three algorithms wereamended by assuming colored measurement noise. Last, we makea standardization of the EMG envelope. Given the above, we willknow if the estimation envelope gives the optimal features for anaccurate prediction.","PeriodicalId":305800,"journal":{"name":"WSEAS TRANSACTIONS ON SIGNAL PROCESSING","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-03-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128564554","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}
{"title":"Sparse Approach in Filtering of Color Images Corrupted by Mixture Noises","authors":"V. Ponomaryov","doi":"10.37394/232014.2020.16.10","DOIUrl":"https://doi.org/10.37394/232014.2020.16.10","url":null,"abstract":"A novel filtering approach is presented in denoising in the color images contaminated by mixture of additive-impulsive noises. Novel framework consists of three principal stages: impulsive noise suppression that is performed detecting pixels corrupted by impulsive noise and then, filtering found spikes by a variant of median filter; during second stage, original additive noise suppression filter is employed in Wavelet transform domain via a sparse representation and 3D-filtering; finally, nondesirable effects obtained in an image during previous stages are processed to correct fine details. In case of multiplicative noise suppression, the designed denoising scheme uses 3D homomorphic sparse processing stage and post-filtering procedure. Evaluation of novel approach in denoising complex distortions has been performed using objective criteria (PSNR and SSIM measures) and subjective perception via human visual system confirming their better performance in comparison with state-of-theart techniques.","PeriodicalId":305800,"journal":{"name":"WSEAS TRANSACTIONS ON SIGNAL PROCESSING","volume":"33 1-2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-03-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116719867","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}