The fundamental voltage, current and phase angle are required for a wide variety of power system applications. The processed signal must be taken from the power source, when the disturbance is occurred in the system it is difficult to access the power system application. In the proposed method white noise is added into the input voltage waveform to get an unbalanced voltage signal from the source in simulation environment. Then, the unbalanced signal is given to an Extended Kalman filter circuits to estimate and remove the noise signal presents in the voltage waveform. The Extended Kalman Filter is used to remove the voltage disturbance from the power source.
{"title":"Estimation of voltage signal analysis using Extended Kalman Filter","authors":"G.Muthupandi, G.Sivakumar, M.Deepak Pious, M.Naveen Kumar","doi":"10.1109/ICCSP.2014.6950131","DOIUrl":"https://doi.org/10.1109/ICCSP.2014.6950131","url":null,"abstract":"The fundamental voltage, current and phase angle are required for a wide variety of power system applications. The processed signal must be taken from the power source, when the disturbance is occurred in the system it is difficult to access the power system application. In the proposed method white noise is added into the input voltage waveform to get an unbalanced voltage signal from the source in simulation environment. Then, the unbalanced signal is given to an Extended Kalman filter circuits to estimate and remove the noise signal presents in the voltage waveform. The Extended Kalman Filter is used to remove the voltage disturbance from the power source.","PeriodicalId":149965,"journal":{"name":"2014 International Conference on Communication and Signal Processing","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2014-04-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132625634","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}
Pub Date : 2014-04-03DOI: 10.1109/ICCSP.2014.6949950
D. Singh, Shubhanjali Sharma, V. Jain, Jyoti Gajrani
A wireless sensor network is basically a data communication system that consists of from several to thousands of tiny wireless sensor nodes. These battery powered sensor nodes work with each other to accomplish data transmission. Since the lifetime of wireless sensor network depends on such battery powered sensor nodes, hop counts and battery power have been taken as metrics in routing protocols. In wireless sensor network, energy efficiency is most critical issue that should be considered while transmitting information or data packet from source node to sink node. Some techniques can be used by attacker communities through getting the knowledge about efficiency and trust relationship among the nodes and then insert some unwanted packets in the path from source to sink. DRP, MTRP and EENC are some techniques that can be used to provide energy efficient transmission of data packets. EENC is energy efficiency routing with node compromised resistance. This technique is based on the ant colony optimization technique. Three parameters in this technique, energy, trust and hop count are considered here to find out the compromised node among the nodes and remove the path from source to sink containing that node.
{"title":"Probabilistic method for energy efficiency routing with node compromised resistance","authors":"D. Singh, Shubhanjali Sharma, V. Jain, Jyoti Gajrani","doi":"10.1109/ICCSP.2014.6949950","DOIUrl":"https://doi.org/10.1109/ICCSP.2014.6949950","url":null,"abstract":"A wireless sensor network is basically a data communication system that consists of from several to thousands of tiny wireless sensor nodes. These battery powered sensor nodes work with each other to accomplish data transmission. Since the lifetime of wireless sensor network depends on such battery powered sensor nodes, hop counts and battery power have been taken as metrics in routing protocols. In wireless sensor network, energy efficiency is most critical issue that should be considered while transmitting information or data packet from source node to sink node. Some techniques can be used by attacker communities through getting the knowledge about efficiency and trust relationship among the nodes and then insert some unwanted packets in the path from source to sink. DRP, MTRP and EENC are some techniques that can be used to provide energy efficient transmission of data packets. EENC is energy efficiency routing with node compromised resistance. This technique is based on the ant colony optimization technique. Three parameters in this technique, energy, trust and hop count are considered here to find out the compromised node among the nodes and remove the path from source to sink containing that node.","PeriodicalId":149965,"journal":{"name":"2014 International Conference on Communication and Signal Processing","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2014-04-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132726179","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}
Pub Date : 2014-04-03DOI: 10.1109/ICCSP.2014.6949840
C. Raje, J. Rangole
Leukemia occurs when lot of abnormal white blood cells produced by the bone marrow. Hematologist makes use of microscopic study of human blood, which leads to need of methods, including microscopic color imaging, segmentation, classification and clustering that can allow identification of patients suffering from Leukemia. The microscopic images will be inspected visually by hematologists and the process is time consuming and tiring. The automatic image processing system is urgently needed and can overcome related constraints in visual inspection. The proposed system will be on microscopic images to detect Leukemia. The early and fast identification of Leukemia greatly aids in providing the appropriate treatment. Initial segmentation is done using Statistical parameters such as mean, standard deviation which segregates white blood cells from other blood components i.e. erythrocytes and platelets. Geometrical features such as area, perimeter of the white blood cell nucleusis investigated for diagnostic prediction of Leukemia. The proposed method is successfully applied to a large number of images, showing promising results for varying image quality. Different image processing algorithms such as Image Enhancement, Thresholding, Mathematical morphology and Labelling are implemented using LabVIEW and MATLAB.
{"title":"Detection of Leukemia in microscopic images using image processing","authors":"C. Raje, J. Rangole","doi":"10.1109/ICCSP.2014.6949840","DOIUrl":"https://doi.org/10.1109/ICCSP.2014.6949840","url":null,"abstract":"Leukemia occurs when lot of abnormal white blood cells produced by the bone marrow. Hematologist makes use of microscopic study of human blood, which leads to need of methods, including microscopic color imaging, segmentation, classification and clustering that can allow identification of patients suffering from Leukemia. The microscopic images will be inspected visually by hematologists and the process is time consuming and tiring. The automatic image processing system is urgently needed and can overcome related constraints in visual inspection. The proposed system will be on microscopic images to detect Leukemia. The early and fast identification of Leukemia greatly aids in providing the appropriate treatment. Initial segmentation is done using Statistical parameters such as mean, standard deviation which segregates white blood cells from other blood components i.e. erythrocytes and platelets. Geometrical features such as area, perimeter of the white blood cell nucleusis investigated for diagnostic prediction of Leukemia. The proposed method is successfully applied to a large number of images, showing promising results for varying image quality. Different image processing algorithms such as Image Enhancement, Thresholding, Mathematical morphology and Labelling are implemented using LabVIEW and MATLAB.","PeriodicalId":149965,"journal":{"name":"2014 International Conference on Communication and Signal Processing","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2014-04-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134488193","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}
Pub Date : 2014-04-03DOI: 10.1109/ICCSP.2014.6950051
D. Nagendar Naik, T. Hussain, S. Limbu, G. Patowary
Vehicular Ad-hoc Networks (VANET), is a type of wireless ad-hoc network that aims to provide communication among vehicles. A key characteristic of VANETs is the very high mobility of nodes that result in a frequently changing topology along with the frequent breakage and linkage of the paths among the nodes involved. These characteristics make the Quality of Service (QoS) requirements in VANET a challenging issue. In this paper we characterize the performance available to applications in infrastructureless VANETs in terms of path holding time, path breakage probability and per session throughput as a function of various vehicle densities on road, data traffic rate and number of connections formed among vehicles by making use of table-driven and on-demand routing algorithms. Several QoS constraints in the applications of infrastructureless VANETs are observed in the results obtained.
{"title":"QoS performance analysis of routing protocols in Vehicular Ad-hoc Networks","authors":"D. Nagendar Naik, T. Hussain, S. Limbu, G. Patowary","doi":"10.1109/ICCSP.2014.6950051","DOIUrl":"https://doi.org/10.1109/ICCSP.2014.6950051","url":null,"abstract":"Vehicular Ad-hoc Networks (VANET), is a type of wireless ad-hoc network that aims to provide communication among vehicles. A key characteristic of VANETs is the very high mobility of nodes that result in a frequently changing topology along with the frequent breakage and linkage of the paths among the nodes involved. These characteristics make the Quality of Service (QoS) requirements in VANET a challenging issue. In this paper we characterize the performance available to applications in infrastructureless VANETs in terms of path holding time, path breakage probability and per session throughput as a function of various vehicle densities on road, data traffic rate and number of connections formed among vehicles by making use of table-driven and on-demand routing algorithms. Several QoS constraints in the applications of infrastructureless VANETs are observed in the results obtained.","PeriodicalId":149965,"journal":{"name":"2014 International Conference on Communication and Signal Processing","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2014-04-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127897489","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}
Pub Date : 2014-04-03DOI: 10.1109/ICCSP.2014.6949971
K. Vijayakumar, R. A. Kumar, A. Govindasamy, S. Kannan
The purpose of this paper is to develop the Sinusoidal Pulse Width Modulation (SPWM) for toggling the switches of Matrix Converter for its operation as several Power Electronics Converters. The SPWM generation is developed with the help of Quartus based Field Programmable Gate Array (FPGA). Quartus II is a software tool produced by Altera for analysis and synthesis of HDL design which enables the developer to compile their designs. Quartus II software includes all the design files, software source files and other related files necessary for the eventual implementation of a design in Programmable Logic Devices. SPWM provides a way to reduce the Total Harmonic Distortion (THD) of load current. The VHDL programming is used to generate the SPWM for switches. Simulation waveforms are obtained and the output of SPWM generation is developed with the help of the FPGA and the output is displayed in the CRO.
{"title":"Implementation of Sinusoidal Pulse Width Modulation for Matrix Converter using FPGA","authors":"K. Vijayakumar, R. A. Kumar, A. Govindasamy, S. Kannan","doi":"10.1109/ICCSP.2014.6949971","DOIUrl":"https://doi.org/10.1109/ICCSP.2014.6949971","url":null,"abstract":"The purpose of this paper is to develop the Sinusoidal Pulse Width Modulation (SPWM) for toggling the switches of Matrix Converter for its operation as several Power Electronics Converters. The SPWM generation is developed with the help of Quartus based Field Programmable Gate Array (FPGA). Quartus II is a software tool produced by Altera for analysis and synthesis of HDL design which enables the developer to compile their designs. Quartus II software includes all the design files, software source files and other related files necessary for the eventual implementation of a design in Programmable Logic Devices. SPWM provides a way to reduce the Total Harmonic Distortion (THD) of load current. The VHDL programming is used to generate the SPWM for switches. Simulation waveforms are obtained and the output of SPWM generation is developed with the help of the FPGA and the output is displayed in the CRO.","PeriodicalId":149965,"journal":{"name":"2014 International Conference on Communication and Signal Processing","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2014-04-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124206093","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}
Pub Date : 2014-04-03DOI: 10.1109/ICCSP.2014.6950031
P. Sisodia, A. Verma, K. Juneja, S. Goel
Human emotion detection plays an important role in the human-computer interaction. In this paper, the emotions are detected on segmented image using low dimension weighted Gabor filter bank. The segmentation reduces the space domain and only those facial features are focused that reflects expressions accurately. The classification of selected features values classifies through a RBF network. The experimental results show that by the selection of optimal features, the computational complexity reduces significantly.
{"title":"An improved method for emotion detection using weighted Gabor filter and radial basis Function kernel","authors":"P. Sisodia, A. Verma, K. Juneja, S. Goel","doi":"10.1109/ICCSP.2014.6950031","DOIUrl":"https://doi.org/10.1109/ICCSP.2014.6950031","url":null,"abstract":"Human emotion detection plays an important role in the human-computer interaction. In this paper, the emotions are detected on segmented image using low dimension weighted Gabor filter bank. The segmentation reduces the space domain and only those facial features are focused that reflects expressions accurately. The classification of selected features values classifies through a RBF network. The experimental results show that by the selection of optimal features, the computational complexity reduces significantly.","PeriodicalId":149965,"journal":{"name":"2014 International Conference on Communication and Signal Processing","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2014-04-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124416315","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}
Pub Date : 2014-04-03DOI: 10.1109/ICCSP.2014.6950172
Suresh Babu Changalasetty, Ahmed S. Badawy, Wade Ghribi, Lalitha Saroja Thota
In recent years, video monitoring and surveillance systems have been widely used in traffic management. The image sequences for traffic scenes are recorded by a stationary camera. The video clip is sent to LabVIEW program to convert into image frames. NI LabVIEW vision assistant module is used to detect the moving vehicle. The method is based on the establishment of correspondences between regions and vehicles, as the vehicles move through the image sequence. Background subtraction is used which improves the adaptive background mixture model and makes the system learn faster and more accurately, as well as adapt effectively to changing environments. The resulting system robustly identifies vehicles, rejecting background and tracks vehicles over a specific period of time. Once the (object) vehicle is tracked, the attributes of the vehicle like width, length, perimeter, area etc are extracted by image process feature extraction techniques. In proposed system we use LabVIEW and Vision assistant module for image processing and feature extraction. The project will benefit to reduce cost of traffic monitoring system and complete automation of traffic monitoring system.
{"title":"Identification and feature extraction of moving vehicles in LabVIEW","authors":"Suresh Babu Changalasetty, Ahmed S. Badawy, Wade Ghribi, Lalitha Saroja Thota","doi":"10.1109/ICCSP.2014.6950172","DOIUrl":"https://doi.org/10.1109/ICCSP.2014.6950172","url":null,"abstract":"In recent years, video monitoring and surveillance systems have been widely used in traffic management. The image sequences for traffic scenes are recorded by a stationary camera. The video clip is sent to LabVIEW program to convert into image frames. NI LabVIEW vision assistant module is used to detect the moving vehicle. The method is based on the establishment of correspondences between regions and vehicles, as the vehicles move through the image sequence. Background subtraction is used which improves the adaptive background mixture model and makes the system learn faster and more accurately, as well as adapt effectively to changing environments. The resulting system robustly identifies vehicles, rejecting background and tracks vehicles over a specific period of time. Once the (object) vehicle is tracked, the attributes of the vehicle like width, length, perimeter, area etc are extracted by image process feature extraction techniques. In proposed system we use LabVIEW and Vision assistant module for image processing and feature extraction. The project will benefit to reduce cost of traffic monitoring system and complete automation of traffic monitoring system.","PeriodicalId":149965,"journal":{"name":"2014 International Conference on Communication and Signal Processing","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2014-04-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115035971","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}
Pub Date : 2014-04-03DOI: 10.1109/ICCSP.2014.6949987
K. Sudheera, N. Nandhitha, N. Ganesh, P. Nanekar, B. Venkatraman, B. Sheela Rani
Ultrasonic Testing is the widely used NDT technique for flaw detection in thick walled weldments. It is an indirect technique and the signals are to be analyzed in order to characterize the flaw. Manual interpretation of these signals is subjective in nature and is dependent on the expertise of the individual. Hence the paradigm has shifted to automated signal analysis. In this paper a successful attempt has been made to develop a pattern among the flaws of same type without using Artificial Neural Networks. Here, the signals are analyzed with Stockwell transform and the pattern is determined. Also quantitative characterization is done with mean, standard deviation, root mean square value, peak to rms ratio.
{"title":"Feasibility of Stockwell transform for flaw pattern recognition in ultra sonic signals","authors":"K. Sudheera, N. Nandhitha, N. Ganesh, P. Nanekar, B. Venkatraman, B. Sheela Rani","doi":"10.1109/ICCSP.2014.6949987","DOIUrl":"https://doi.org/10.1109/ICCSP.2014.6949987","url":null,"abstract":"Ultrasonic Testing is the widely used NDT technique for flaw detection in thick walled weldments. It is an indirect technique and the signals are to be analyzed in order to characterize the flaw. Manual interpretation of these signals is subjective in nature and is dependent on the expertise of the individual. Hence the paradigm has shifted to automated signal analysis. In this paper a successful attempt has been made to develop a pattern among the flaws of same type without using Artificial Neural Networks. Here, the signals are analyzed with Stockwell transform and the pattern is determined. Also quantitative characterization is done with mean, standard deviation, root mean square value, peak to rms ratio.","PeriodicalId":149965,"journal":{"name":"2014 International Conference on Communication and Signal Processing","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2014-04-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117344104","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}
Pub Date : 2014-04-03DOI: 10.1109/ICCSP.2014.6949826
M. Joseph, M. S. Godwin Premi
Image retrieval is emerging as one of the important research area for browsing and retrieving images from a large database. Many image retrieval techniques are there but it suffers from low precision rates due to lighting conditions, noisy tags etc. One of the most important problems that we have seen in image retrieval is the semantic gap. This paper proposes a new method for improving the performance of image retrieval system and reducing the semantic gap using Auxiliary Visual Word and Tag refinement. Here the retrieval accuracy gets improved by the discovery of contextual features. This paper also provides an image pre-processing technique using Contrast Limited Adaptive Histogram Equalization algorithm and image ranking approach. It also describes about effective and efficient distance measure and a minimum distance classification for retrieval. The experimental results show that precision has been improved with the proposed method.
{"title":"Contextual feature discovery and image ranking for image object retrieval and Tag refinement","authors":"M. Joseph, M. S. Godwin Premi","doi":"10.1109/ICCSP.2014.6949826","DOIUrl":"https://doi.org/10.1109/ICCSP.2014.6949826","url":null,"abstract":"Image retrieval is emerging as one of the important research area for browsing and retrieving images from a large database. Many image retrieval techniques are there but it suffers from low precision rates due to lighting conditions, noisy tags etc. One of the most important problems that we have seen in image retrieval is the semantic gap. This paper proposes a new method for improving the performance of image retrieval system and reducing the semantic gap using Auxiliary Visual Word and Tag refinement. Here the retrieval accuracy gets improved by the discovery of contextual features. This paper also provides an image pre-processing technique using Contrast Limited Adaptive Histogram Equalization algorithm and image ranking approach. It also describes about effective and efficient distance measure and a minimum distance classification for retrieval. The experimental results show that precision has been improved with the proposed method.","PeriodicalId":149965,"journal":{"name":"2014 International Conference on Communication and Signal Processing","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2014-04-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122064006","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}
Pub Date : 2014-04-03DOI: 10.1109/ICCSP.2014.6950119
P. Dash, S. S. Pujari, Yougajyoty Sahoo
Identification is a genuine fact that resembles in any kind of systems, whether it may be a control, compute or communication systems. System identification is a proposed area that establish the mathematical model of the system which helps for modeling and identification of an unknown system. This paper is focused on design and synthesis of Adaptive System Identification based on LMS algorithm with ALTERA QUARTUS II development platform and implemented on CYCLONE II EP2C35F672C8 Field Programming Gate Array (FPGA). Architecture of adaptive filter that is based on multiplier and adder is to realize the MAC operation of the Finite Impulse Response (FIR). The coefficients of the adaptive filter are adjusted automatically by Least Mean Square (LMS) algorithm based on input signals. For this cause adaptive filter is more important for system identification. The design is also experienced in Model based Design approach with the help of Xilinx System Generator for the application of Adaptive System Identification.
识别是一个真实的事实，类似于任何类型的系统，无论是控制系统、计算系统还是通信系统。系统识别是建立系统数学模型的一个领域，它有助于对未知系统的建模和识别。本文在ALTERA QUARTUS II开发平台上设计和合成了基于LMS算法的自适应系统辨识系统，并在CYCLONE II EP2C35F672C8 FPGA上实现。基于乘法器和加法器的自适应滤波器结构是为了实现有限脉冲响应(FIR)的MAC运算。基于输入信号，采用最小均方算法自动调整自适应滤波器的系数。因此，自适应滤波器在系统辨识中显得尤为重要。本设计还利用基于模型的设计方法，结合Xilinx System Generator实现了自适应系统辨识的应用。
{"title":"Design and implementation of single order LMS based adaptive system identification on altera based cyclone II FPGA","authors":"P. Dash, S. S. Pujari, Yougajyoty Sahoo","doi":"10.1109/ICCSP.2014.6950119","DOIUrl":"https://doi.org/10.1109/ICCSP.2014.6950119","url":null,"abstract":"Identification is a genuine fact that resembles in any kind of systems, whether it may be a control, compute or communication systems. System identification is a proposed area that establish the mathematical model of the system which helps for modeling and identification of an unknown system. This paper is focused on design and synthesis of Adaptive System Identification based on LMS algorithm with ALTERA QUARTUS II development platform and implemented on CYCLONE II EP2C35F672C8 Field Programming Gate Array (FPGA). Architecture of adaptive filter that is based on multiplier and adder is to realize the MAC operation of the Finite Impulse Response (FIR). The coefficients of the adaptive filter are adjusted automatically by Least Mean Square (LMS) algorithm based on input signals. For this cause adaptive filter is more important for system identification. The design is also experienced in Model based Design approach with the help of Xilinx System Generator for the application of Adaptive System Identification.","PeriodicalId":149965,"journal":{"name":"2014 International Conference on Communication and Signal Processing","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2014-04-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124041563","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}
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