Pub Date : 2014-04-03DOI: 10.1109/ICCSP.2014.6950135
B. Suseela, D. Sivakumar
Most of the existing works consider the estimation of power spectrum. However, they did not provide the implementation of power spectrum estimation. In order to provide an efficient solution, in this paper, we propose power spectrum estimation and PAPR analysis for Cognitive Radio Networks (CRN). In this technique, power spectrum value of each node is calculated by computing autocorrelation. This power spectrum value is compared with five methods namely Periodogram spectral estimate, Bartlett's spectral estimate, Welch spectral estimate, Blackman Tukey spectral estimate and Correlogram spectral estimate. The difference in transmitted signal can be measured in terms of Peak-to-Average-Power-Ratio (PAPR). Finally, PAPR analysis is performed using the complementary cumulative distribution function (CCDF). The proposed technique is simulated in MATLAB.
{"title":"Power spectrum estimation and PAPR analysis for Cognitive Radio Networks","authors":"B. Suseela, D. Sivakumar","doi":"10.1109/ICCSP.2014.6950135","DOIUrl":"https://doi.org/10.1109/ICCSP.2014.6950135","url":null,"abstract":"Most of the existing works consider the estimation of power spectrum. However, they did not provide the implementation of power spectrum estimation. In order to provide an efficient solution, in this paper, we propose power spectrum estimation and PAPR analysis for Cognitive Radio Networks (CRN). In this technique, power spectrum value of each node is calculated by computing autocorrelation. This power spectrum value is compared with five methods namely Periodogram spectral estimate, Bartlett's spectral estimate, Welch spectral estimate, Blackman Tukey spectral estimate and Correlogram spectral estimate. The difference in transmitted signal can be measured in terms of Peak-to-Average-Power-Ratio (PAPR). Finally, PAPR analysis is performed using the complementary cumulative distribution function (CCDF). The proposed technique is simulated in 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":"131716922","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.2014.6949905
R. Suganthi, S. Sankara Gomathi
Several routing protocols have already been proposed for Mobile Ad hoc Networks (MANET). This paper suggests an approach to select minimum number of edge nodes for forwarding the data. In this paper, we introduce a Direction Oriented Forwarding with Power Adaption (DOF-PA) Protocol for MANET. It is based on Direction Oriented Forwarding Through Minimum number of Edge Nodes (DOF-MEN) Protocol, Energy Efficient Location Aided Routing (EELAR) Protocol and Zone Routing Protocol (ZRP). It reduces the control overhead. It selects one of its edge nodes as Next Hop (NH) for forwarding the data to the destination. The remaining nodes are not involved in forwarding. The node adjusts its transmitting power according to the movement of the edge node. Node mobility may lead to packet loss. It reduces the probability of packet loss by adapting the transmission power.
{"title":"Direction Oriented Forwarding with Power Adaption (DOF-PA) Protocol for MANETs","authors":"R. Suganthi, S. Sankara Gomathi","doi":"10.1109/ICCSP.2014.6949905","DOIUrl":"https://doi.org/10.1109/ICCSP.2014.6949905","url":null,"abstract":"Several routing protocols have already been proposed for Mobile Ad hoc Networks (MANET). This paper suggests an approach to select minimum number of edge nodes for forwarding the data. In this paper, we introduce a Direction Oriented Forwarding with Power Adaption (DOF-PA) Protocol for MANET. It is based on Direction Oriented Forwarding Through Minimum number of Edge Nodes (DOF-MEN) Protocol, Energy Efficient Location Aided Routing (EELAR) Protocol and Zone Routing Protocol (ZRP). It reduces the control overhead. It selects one of its edge nodes as Next Hop (NH) for forwarding the data to the destination. The remaining nodes are not involved in forwarding. The node adjusts its transmitting power according to the movement of the edge node. Node mobility may lead to packet loss. It reduces the probability of packet loss by adapting the transmission power.","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":"129205678","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.2014.6950164
V. Vijay Kumar Raju, M. P. Kumar
The Medical Images normally have a problem of high level components of noises. This noise gets introduced during acquisition, transmission & reception and storage & retrieval processes. Denoising is used to remove the noise from corrupted image, while retaining the edges and other detailed features as much as possible. In this paper, to find out denoised image the Dual tree complex wavelet and Curvelet transforms based methods are used and we have evaluated and compared performances of Dual tree complex wavelet transform method and the Curvelet transform method based on PSNR (Peak signal to noise ratio) between original image and denoised image. Simulation and experiment results for an image demonstrate that PSNR of the Curvelet transform method is high than Dual tree complex wavelet method. Therefore, the image after denoising has a better visual effect. In this paper, these two methods are implemented on MRI and X-ray images for denoising by using MATLAB.
{"title":"Denoising of MRI and X-Ray images using dual tree complex wavelet and Curvelet transforms","authors":"V. Vijay Kumar Raju, M. P. Kumar","doi":"10.1109/ICCSP.2014.6950164","DOIUrl":"https://doi.org/10.1109/ICCSP.2014.6950164","url":null,"abstract":"The Medical Images normally have a problem of high level components of noises. This noise gets introduced during acquisition, transmission & reception and storage & retrieval processes. Denoising is used to remove the noise from corrupted image, while retaining the edges and other detailed features as much as possible. In this paper, to find out denoised image the Dual tree complex wavelet and Curvelet transforms based methods are used and we have evaluated and compared performances of Dual tree complex wavelet transform method and the Curvelet transform method based on PSNR (Peak signal to noise ratio) between original image and denoised image. Simulation and experiment results for an image demonstrate that PSNR of the Curvelet transform method is high than Dual tree complex wavelet method. Therefore, the image after denoising has a better visual effect. In this paper, these two methods are implemented on MRI and X-ray images for denoising by using 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":"128864175","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.2014.6950055
R. Mahendran
This paper presents a novel artificial neural network approach to control an intelligent wheelchair using myoelectric signals. The work is divided into six stages out of which feature extraction and classification are the main stages for this research. The type of classification technique used is Multi-Layer Perceptron. The EMG data is collected by placing the electrodes on the forearm muscles. This data is segmented for every 200 milliseconds after which the feature extraction is performed using mean absolute value. The signals are fed to the artificial neural networks and processed to attain parameters that are related to the muscles temporal hand activities. The resulting commands are sent to drive the wheelchair according to the user's intention. The software was tested on the intelligent wheelchair in real-time, which confirm that the system is robust for different gender and environments.
{"title":"EMG signal based control of an intelligent wheelchair","authors":"R. Mahendran","doi":"10.1109/ICCSP.2014.6950055","DOIUrl":"https://doi.org/10.1109/ICCSP.2014.6950055","url":null,"abstract":"This paper presents a novel artificial neural network approach to control an intelligent wheelchair using myoelectric signals. The work is divided into six stages out of which feature extraction and classification are the main stages for this research. The type of classification technique used is Multi-Layer Perceptron. The EMG data is collected by placing the electrodes on the forearm muscles. This data is segmented for every 200 milliseconds after which the feature extraction is performed using mean absolute value. The signals are fed to the artificial neural networks and processed to attain parameters that are related to the muscles temporal hand activities. The resulting commands are sent to drive the wheelchair according to the user's intention. The software was tested on the intelligent wheelchair in real-time, which confirm that the system is robust for different gender and environments.","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":"123161860","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.2014.6949951
Girish N. Chaple, R. Daruwala
Real-time image processing applications requires processing on large data of pixels in a given timing constraints. Reconfigurable device like FPGAs have emerged as promising solutions for reducing execution times by deploying parallelism techniques in image processing algorithms. Implementation of highly parallel system architecture, parallel access of large internal memory banks and optimization of processing element for applications makes FPGA an ideal device for image processing system. Edge detection is basic tool used in many image processing applications for extracting information from image. Sobel edge detection is gradient based edge detection method used to find edge pixels in image. This paper presents a design of a Sobel edge detection algorithm to find edge pixels in gray scale image. Xilinx ISE Design Suite-14 software platforms is used to design a algorithm using VHDL language. MATLAB software platform is used for obtaining pixel data matrix from gray scale image and vice versa. Xilinx FPGAs of family Vertex-5 are more suitable for image processing work than Spartan-3 and Spartan-6.
实时图像处理应用需要在给定的时间限制下处理大量像素数据。通过在图像处理算法中部署并行技术，像fpga这样的可重构设备已经成为减少执行时间的有前途的解决方案。高度并行系统架构的实现、大型内部存储器的并行访问以及应用程序处理元件的优化，使FPGA成为图像处理系统的理想器件。边缘检测是许多图像处理应用中用于从图像中提取信息的基本工具。索贝尔边缘检测是一种基于梯度的边缘检测方法，用于在图像中寻找边缘像素点。本文设计了一种用于灰度图像边缘像素的Sobel边缘检测算法。采用Xilinx ISE Design Suite-14软件平台，采用VHDL语言设计算法。利用MATLAB软件平台从灰度图像中获取像素数据矩阵，从灰度图像中获取像素数据矩阵。Xilinx Vertex-5系列fpga比Spartan-3和Spartan-6更适合图像处理工作。
{"title":"Design of Sobel operator based image edge detection algorithm on FPGA","authors":"Girish N. Chaple, R. Daruwala","doi":"10.1109/ICCSP.2014.6949951","DOIUrl":"https://doi.org/10.1109/ICCSP.2014.6949951","url":null,"abstract":"Real-time image processing applications requires processing on large data of pixels in a given timing constraints. Reconfigurable device like FPGAs have emerged as promising solutions for reducing execution times by deploying parallelism techniques in image processing algorithms. Implementation of highly parallel system architecture, parallel access of large internal memory banks and optimization of processing element for applications makes FPGA an ideal device for image processing system. Edge detection is basic tool used in many image processing applications for extracting information from image. Sobel edge detection is gradient based edge detection method used to find edge pixels in image. This paper presents a design of a Sobel edge detection algorithm to find edge pixels in gray scale image. Xilinx ISE Design Suite-14 software platforms is used to design a algorithm using VHDL language. MATLAB software platform is used for obtaining pixel data matrix from gray scale image and vice versa. Xilinx FPGAs of family Vertex-5 are more suitable for image processing work than Spartan-3 and Spartan-6.","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":"121623596","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.2014.6950024
K. S. Vishvaksenan, S. Ramyaramalakshmi, S. Sathiarani
In this letter, we evaluate the performance of double space-time transmit diversity (DSTTD)-interleave division multiple access (IDMA) system over correlated frequency-selective channels under perfect channel state information. DSTTD system requires four transmit antennas to implement two STBC block units at the base station for down link (DL) communication. In our considered work, we replace four uni-Polarized transmit antennas by two dual polarized antennas in order to achieve polarization diversity by employing orthogonal polarization. Further we consider non linear multi-user detection based on Space-Time Block Nulling technique at each mobile station by realizing one dual polarized receive antenna to obtain higher throughput with reduced size of mobile unit. Furthermore, we consider iterative style of turbo decoding algorithm at the receiver to mitigate the effects of multi-user interferences. In particular, we investigate the performance of turbo coded dual polarized DSTTD-IDMA system based on Stanford University Interim (SUI) specifications. Our simulation results demonstrate that our considered Dual-Polarized DSTTD-IDMA system provides better BER performance with reduced size of mobile units in the context of DL communication.
在这篇文章中，我们评估了双空时发射分集(DSTTD)-交错多址(IDMA)系统在相关选频信道上在完美信道状态信息下的性能。DSTTD系统需要四个发射天线在基站上实现两个STBC块单元，用于下行链路通信。在我们所考虑的工作中，我们用两个双极化天线代替四个单极化发射天线，以利用正交极化实现极化分集。进一步考虑了基于空时块零化技术的非线性多用户检测，通过实现一个双极化接收天线，在减小移动单元尺寸的情况下获得更高的吞吐量。此外，我们在接收端考虑迭代式turbo译码算法，以减轻多用户干扰的影响。我们特别研究了基于Stanford University Interim (SUI)规范的turbo编码双极化DSTTD-IDMA系统的性能。我们的仿真结果表明，我们所考虑的双极化DSTTD-IDMA系统在DL通信环境下具有更好的误码率性能，并且减少了移动单元的尺寸。
{"title":"Performance of DSTTD-IDMA system using polarization diversity over correlated frequency-selective channel","authors":"K. S. Vishvaksenan, S. Ramyaramalakshmi, S. Sathiarani","doi":"10.1109/ICCSP.2014.6950024","DOIUrl":"https://doi.org/10.1109/ICCSP.2014.6950024","url":null,"abstract":"In this letter, we evaluate the performance of double space-time transmit diversity (DSTTD)-interleave division multiple access (IDMA) system over correlated frequency-selective channels under perfect channel state information. DSTTD system requires four transmit antennas to implement two STBC block units at the base station for down link (DL) communication. In our considered work, we replace four uni-Polarized transmit antennas by two dual polarized antennas in order to achieve polarization diversity by employing orthogonal polarization. Further we consider non linear multi-user detection based on Space-Time Block Nulling technique at each mobile station by realizing one dual polarized receive antenna to obtain higher throughput with reduced size of mobile unit. Furthermore, we consider iterative style of turbo decoding algorithm at the receiver to mitigate the effects of multi-user interferences. In particular, we investigate the performance of turbo coded dual polarized DSTTD-IDMA system based on Stanford University Interim (SUI) specifications. Our simulation results demonstrate that our considered Dual-Polarized DSTTD-IDMA system provides better BER performance with reduced size of mobile units in the context of DL communication.","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":"126026829","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.2014.6950161
Pranaw Kumar, Ranjitarani Behera
In this paper we show a comparison of two hexagonal geometries of Photonic Crystal Fiber (PCF). These geometries are different with respect to the area of circular air holes. The area of circular air holes is kept fixed for a structure and is kept decreasing with increase in number of rings for another structure. Both structure considered consists of seven rings. One of the PCF structure with decreasing area of circular air holes report negative dispersion for wide range of wavelength. The birefringence of PCF structure with decreasing area of circular air hole is high compare to that of other PCF structure investigated. The confinement Loss reported is of the order of 10-5 for both the PCF structure in this paper. The confinement factor was reported to be uniform for all the structures in this paper. The mode field pattern for both the structures appears to be a flower like shape with entire field being concentrated in the core and without leakage to cladding. The far field pattern (FFP) is also observed for both the structures.
{"title":"Negative dispersion with high birefringence Photonic Crystal Fiber and its propagation properties","authors":"Pranaw Kumar, Ranjitarani Behera","doi":"10.1109/ICCSP.2014.6950161","DOIUrl":"https://doi.org/10.1109/ICCSP.2014.6950161","url":null,"abstract":"In this paper we show a comparison of two hexagonal geometries of Photonic Crystal Fiber (PCF). These geometries are different with respect to the area of circular air holes. The area of circular air holes is kept fixed for a structure and is kept decreasing with increase in number of rings for another structure. Both structure considered consists of seven rings. One of the PCF structure with decreasing area of circular air holes report negative dispersion for wide range of wavelength. The birefringence of PCF structure with decreasing area of circular air hole is high compare to that of other PCF structure investigated. The confinement Loss reported is of the order of 10-5 for both the PCF structure in this paper. The confinement factor was reported to be uniform for all the structures in this paper. The mode field pattern for both the structures appears to be a flower like shape with entire field being concentrated in the core and without leakage to cladding. The far field pattern (FFP) is also observed for both the structures.","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":"120934867","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.2014.6950064
A. Dey, S. Palit, D. K. Bhattacharya, D. N. Tibarewala, Dipan Sarkar
Study of the effect of music on autonomic nervous system of human being through the analysis of Heart rate variability (HRV) signals is a very recent area of research. The present paper considers the effect of seven different types of music stimuli on a single subject. The data of the HRV signals are subjected to a recently developed technique known as `frequency-delay plot'. The quantification is done by `ellipsoid fit' and allied five different types of quantification measures. Such results of quantification are then analyzed by the method of 'randomized block ANOVA. It is proved that all the different types of music stimuli have different effects on ANS of the subject, and that the effects are significantly different. Moreover the five different measures also do differ significantly on the music data. Finally to test which music signal affects ANS most, we consider, as population, the totality of all data corresponding to different types of songs and different types of measures taken. By considering the data of individual song under all measures as data of a sample, we calculate the interval of confidence of the population mean and the population variance with the help of each sample mean and sample variance at 0.95 level of confidence. It is proved that the length of confidence interval for population mean as well as for population variance is minimum only in the case of song1. In other words, it means that song1 is the most effective one on ANS of the subject.
{"title":"Study of the effect of different music stimuli on autonomic nervous system of a single subject","authors":"A. Dey, S. Palit, D. K. Bhattacharya, D. N. Tibarewala, Dipan Sarkar","doi":"10.1109/ICCSP.2014.6950064","DOIUrl":"https://doi.org/10.1109/ICCSP.2014.6950064","url":null,"abstract":"Study of the effect of music on autonomic nervous system of human being through the analysis of Heart rate variability (HRV) signals is a very recent area of research. The present paper considers the effect of seven different types of music stimuli on a single subject. The data of the HRV signals are subjected to a recently developed technique known as `frequency-delay plot'. The quantification is done by `ellipsoid fit' and allied five different types of quantification measures. Such results of quantification are then analyzed by the method of 'randomized block ANOVA. It is proved that all the different types of music stimuli have different effects on ANS of the subject, and that the effects are significantly different. Moreover the five different measures also do differ significantly on the music data. Finally to test which music signal affects ANS most, we consider, as population, the totality of all data corresponding to different types of songs and different types of measures taken. By considering the data of individual song under all measures as data of a sample, we calculate the interval of confidence of the population mean and the population variance with the help of each sample mean and sample variance at 0.95 level of confidence. It is proved that the length of confidence interval for population mean as well as for population variance is minimum only in the case of song1. In other words, it means that song1 is the most effective one on ANS of the subject.","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":"121840107","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.2014.6949928
Nilesh S. Shirude, R. Pinto, M. Panse
RADAR (Radio Wave Detection And Ranging) systems are widely used now days for detecting a target, obtaining its location along with direction and velocity of detected object. Most challenging part in RADAR system is to getting better accuracy and resolution. In this paper, we have designed a radar transmitter and receiver using direct sequence spread spectrum for improving range accuracy. Spread spectrum modulation technique has been chosen as it has some inherent merits like accuracy of ranging, sensitivity of power estimation, interference suppression etc.
{"title":"Range estimation using direct sequence spread spectrum","authors":"Nilesh S. Shirude, R. Pinto, M. Panse","doi":"10.1109/ICCSP.2014.6949928","DOIUrl":"https://doi.org/10.1109/ICCSP.2014.6949928","url":null,"abstract":"RADAR (Radio Wave Detection And Ranging) systems are widely used now days for detecting a target, obtaining its location along with direction and velocity of detected object. Most challenging part in RADAR system is to getting better accuracy and resolution. In this paper, we have designed a radar transmitter and receiver using direct sequence spread spectrum for improving range accuracy. Spread spectrum modulation technique has been chosen as it has some inherent merits like accuracy of ranging, sensitivity of power estimation, interference suppression etc.","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":"131584021","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.2014.6950157
P. Ramasubramanian, R. Emiliya, R. Janaki, B. Daniel, C. Anand
Number Plate Recognition (NPR) and Character Segmentation (CS) play a major role in one of the intelligent transportation system. This paper identifies a number plate identification system for Indian plates. This method consists of two main modules: NPR and CS. In NPR, histogram equalization is employed to solve the low contrast and dynamic-range problems and Eight-Neighbors technique is proposed to filter the unwanted areas in the image. In CS, the hybrid binarization technique is proposed to effectively segment the characters in the dirt NP. The system captures the images of the vehicles at various backgrounds and conditions using a digital camera. The results are highly appreciable.
{"title":"Number plate Recognition and Character Segmentation using Eight-Neighbors and hybrid binarization techniques","authors":"P. Ramasubramanian, R. Emiliya, R. Janaki, B. Daniel, C. Anand","doi":"10.1109/ICCSP.2014.6950157","DOIUrl":"https://doi.org/10.1109/ICCSP.2014.6950157","url":null,"abstract":"Number Plate Recognition (NPR) and Character Segmentation (CS) play a major role in one of the intelligent transportation system. This paper identifies a number plate identification system for Indian plates. This method consists of two main modules: NPR and CS. In NPR, histogram equalization is employed to solve the low contrast and dynamic-range problems and Eight-Neighbors technique is proposed to filter the unwanted areas in the image. In CS, the hybrid binarization technique is proposed to effectively segment the characters in the dirt NP. The system captures the images of the vehicles at various backgrounds and conditions using a digital camera. The results are highly appreciable.","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":"115143098","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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