Pub Date : 2014-04-03DOI: 10.1109/ICCSP.2014.6950143
I. Nelson, K. S. Vishvaksenan, V. Rajendran
In this correspondence, we consider the performance of Multi-Input Multi-Output (MIMO) assisted multi-carrier (MC) modulated system for the transmission of the acoustic signal in underwater communications. In underwater communications, acoustic interference and ambient noise are the two major channel impairments. In our work, we consider turbo code as channel encoder and at the receiver, we employ iterative decoding algorithm to alleviate the effects of ambient noise and acoustic interference. We implement IFFT block at the transmitter and FFT block at the receiver to realize multi-carrier modulation. Particularly, we investigate the effects of eleven tap delay pertaining to shallow water model in the context of coded MIMO-OFDM system. At the receiver, we realize non-linear detector based on zero-forcing (ZF) algorithm. It is shown through simulation results that MIMO-OFDM system with ZF algorithm provides achievable bit error rate with less signal-to-noise ratio using iterative decoding algorithm..
{"title":"Performance of turbo coded MIMO-OFDM system for underwater communications","authors":"I. Nelson, K. S. Vishvaksenan, V. Rajendran","doi":"10.1109/ICCSP.2014.6950143","DOIUrl":"https://doi.org/10.1109/ICCSP.2014.6950143","url":null,"abstract":"In this correspondence, we consider the performance of Multi-Input Multi-Output (MIMO) assisted multi-carrier (MC) modulated system for the transmission of the acoustic signal in underwater communications. In underwater communications, acoustic interference and ambient noise are the two major channel impairments. In our work, we consider turbo code as channel encoder and at the receiver, we employ iterative decoding algorithm to alleviate the effects of ambient noise and acoustic interference. We implement IFFT block at the transmitter and FFT block at the receiver to realize multi-carrier modulation. Particularly, we investigate the effects of eleven tap delay pertaining to shallow water model in the context of coded MIMO-OFDM system. At the receiver, we realize non-linear detector based on zero-forcing (ZF) algorithm. It is shown through simulation results that MIMO-OFDM system with ZF algorithm provides achievable bit error rate with less signal-to-noise ratio using iterative decoding algorithm..","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":"125871479","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.2014.6950134
Nookala Venu
In this paper, a new segmentation algorithm with the integration of mean and peak-and-valley filtering based denoising and Gaussian kernels based fuzzy c-means (MPVKFCM) algorithm is proposed for medical image segmentation. First, the image is denoised by using the mean and peak-and-valley filtering algorithm. Secondly, image segmentation algorithm with Gaussian kernels based fuzzy c-means is performed on the denoised image. The performance of the proposed algorithm is tested on OASIS-MRI image dataset. The performance is tested in terms of score, number of iterations (NI), Execution time and (TM) under different Gaussian noises on OASIS-MRI dataset. The results after investigation, the proposed method shows a significant improvement as compared to other existing methods in terms of Score, NI and TM under different Gaussian noises on OASIS-MRI dataset.
{"title":"Performance and evalution of Guassian kernals for FCM algorithm with mean filtering based denoising for MRI segmentation","authors":"Nookala Venu","doi":"10.1109/ICCSP.2014.6950134","DOIUrl":"https://doi.org/10.1109/ICCSP.2014.6950134","url":null,"abstract":"In this paper, a new segmentation algorithm with the integration of mean and peak-and-valley filtering based denoising and Gaussian kernels based fuzzy c-means (MPVKFCM) algorithm is proposed for medical image segmentation. First, the image is denoised by using the mean and peak-and-valley filtering algorithm. Secondly, image segmentation algorithm with Gaussian kernels based fuzzy c-means is performed on the denoised image. The performance of the proposed algorithm is tested on OASIS-MRI image dataset. The performance is tested in terms of score, number of iterations (NI), Execution time and (TM) under different Gaussian noises on OASIS-MRI dataset. The results after investigation, the proposed method shows a significant improvement as compared to other existing methods in terms of Score, NI and TM under different Gaussian noises on OASIS-MRI dataset.","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":"124650675","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.2014.6950112
Dixit V. Bhoraniya, R. Kher
Ambulatory ECG signal monitoring is useful when long term cardiac monitoring of a patient is necessary. Ambulatory ECG (A-ECG) monitoring provides electrical activity of the heart while a person is involved in doing his or her normal routine activities. Thus, the recorded ECG signal consists of cardiac signal along with motion artifacts introduced due to person's body movements during routine activities. This motion artifact has spectral overlap with cardiac signal in 1-10 Hz which corresponds to ECG features like P wave and T wave. Detection of motion artifacts due to different physical activities (PA) might help in further cardiac diagnosis. Ambulatory ECG signal analysis for detection of various motion artifacts using discrete wavelet transform (DWT) approach is addressed in this paper. The ECG signals of healthy subjects (aged of 19 to 16 years) were recorded while the person performs various body movements activity like (i) up and down movement of left hand, (ii) up and down movement of right hand, (iii) waist twisting movement while standing and (iv) change in position from sitting down on chair to standing up movement in lead I configuration by using BIOPAC MP 36 signal acquiring system.
{"title":"Motion artifacts extraction using dwt from ambulatory ECG (A-ECG)","authors":"Dixit V. Bhoraniya, R. Kher","doi":"10.1109/ICCSP.2014.6950112","DOIUrl":"https://doi.org/10.1109/ICCSP.2014.6950112","url":null,"abstract":"Ambulatory ECG signal monitoring is useful when long term cardiac monitoring of a patient is necessary. Ambulatory ECG (A-ECG) monitoring provides electrical activity of the heart while a person is involved in doing his or her normal routine activities. Thus, the recorded ECG signal consists of cardiac signal along with motion artifacts introduced due to person's body movements during routine activities. This motion artifact has spectral overlap with cardiac signal in 1-10 Hz which corresponds to ECG features like P wave and T wave. Detection of motion artifacts due to different physical activities (PA) might help in further cardiac diagnosis. Ambulatory ECG signal analysis for detection of various motion artifacts using discrete wavelet transform (DWT) approach is addressed in this paper. The ECG signals of healthy subjects (aged of 19 to 16 years) were recorded while the person performs various body movements activity like (i) up and down movement of left hand, (ii) up and down movement of right hand, (iii) waist twisting movement while standing and (iv) change in position from sitting down on chair to standing up movement in lead I configuration by using BIOPAC MP 36 signal acquiring 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":"124757169","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.2014.6949980
M. Soni, P. Dakhole
CAM (content-addressable memory) is a specialized type of high-speed memory that searches its entire contents in a single clock cycle. We are designing generalized CAM using Dual Port RAM (random access memory) structure which will perform match operation in addition to read and write operation .The design has fast search capabilities while consuming least system resources as possible. CAM provides performance advantage over other search algorithms as searching is based on content rather than address unlike RAM. The match time of our CAM structure is faster and resources are more effective. CAM is used in application where search time is very critical. content addressable memory compare input search data against stored data and return address of matched data. Thus overall function of CAM is to take search word and return matching memory location.
{"title":"FPGA implementation of content addressable memory based information detection system","authors":"M. Soni, P. Dakhole","doi":"10.1109/ICCSP.2014.6949980","DOIUrl":"https://doi.org/10.1109/ICCSP.2014.6949980","url":null,"abstract":"CAM (content-addressable memory) is a specialized type of high-speed memory that searches its entire contents in a single clock cycle. We are designing generalized CAM using Dual Port RAM (random access memory) structure which will perform match operation in addition to read and write operation .The design has fast search capabilities while consuming least system resources as possible. CAM provides performance advantage over other search algorithms as searching is based on content rather than address unlike RAM. The match time of our CAM structure is faster and resources are more effective. CAM is used in application where search time is very critical. content addressable memory compare input search data against stored data and return address of matched data. Thus overall function of CAM is to take search word and return matching memory location.","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":"124794937","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.2014.6950061
Jaba Deva Krupa Abel, Y. Karuna, G. Ramachandra Reddy, R. Dhuli
Multicarrier modulation (MCM) is a popularly used transmission technique. This paper aims at designing the multicarrier modulation pulse for communication over a Doubly Dispersive (DD) channel. For a DD channel, Inter Symbol Interference (ISI)Inter Carrier Interference (ICI) can be completely eliminated only when we design the pulses with the knowledge of the channel state. But for a quickly varying doubly dispersive channel, the channel state cannot be tracked by the transmitter. So instead of designing a pulse which suppresses all the ISIICI, the proposed technique designs the MCM pulses which allows a tolerable ISIICI within the target pattern and eliminates all the ISIICI outside the target pattern. By properly selecting the target pattern, it is possible to treat the allowed ISIICI by using simple equalization/decoding techniques.
{"title":"Design of multicarrier pulses maximizing SINR by ISI/ICI shaping for the Doubly Dispersive channel","authors":"Jaba Deva Krupa Abel, Y. Karuna, G. Ramachandra Reddy, R. Dhuli","doi":"10.1109/ICCSP.2014.6950061","DOIUrl":"https://doi.org/10.1109/ICCSP.2014.6950061","url":null,"abstract":"Multicarrier modulation (MCM) is a popularly used transmission technique. This paper aims at designing the multicarrier modulation pulse for communication over a Doubly Dispersive (DD) channel. For a DD channel, Inter Symbol Interference (ISI)Inter Carrier Interference (ICI) can be completely eliminated only when we design the pulses with the knowledge of the channel state. But for a quickly varying doubly dispersive channel, the channel state cannot be tracked by the transmitter. So instead of designing a pulse which suppresses all the ISIICI, the proposed technique designs the MCM pulses which allows a tolerable ISIICI within the target pattern and eliminates all the ISIICI outside the target pattern. By properly selecting the target pattern, it is possible to treat the allowed ISIICI by using simple equalization/decoding techniques.","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":"129885492","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.2014.6949859
D. Rangaprakash, D. Dutt
Wrist pulse signal contains more important information about the health status of a person and pulse signal diagnosis has been employed in oriental medicine since very long time. In this paper we have used signal processing techniques to extract information from wrist pulse signals. For this purpose we have acquired radial artery pulse signals at wrist position noninvasively for different cases of interest. The wrist pulse waveforms have been analyzed using spatial features. Results have been obtained for the case of wrist pulse signals recorded for several subjects before exercise and after exercise. It is shown that the spatial features show statistically significant changes for the two cases and hence they are effective in distinguishing the changes taking place due to exercise. Support vector machine classifier is used to classify between the groups, and a high classification accuracy of 99.71% is achieved. Thus this paper demonstrates the utility of the spatial features in studying wrist pulse signals obtained under various recording conditions. The ability of the model to distinguish changes occurring under two different recording conditions can be potentially used for healthcare applications.
{"title":"Analysis of wrist pulse signals using spatial features in time domain","authors":"D. Rangaprakash, D. Dutt","doi":"10.1109/ICCSP.2014.6949859","DOIUrl":"https://doi.org/10.1109/ICCSP.2014.6949859","url":null,"abstract":"Wrist pulse signal contains more important information about the health status of a person and pulse signal diagnosis has been employed in oriental medicine since very long time. In this paper we have used signal processing techniques to extract information from wrist pulse signals. For this purpose we have acquired radial artery pulse signals at wrist position noninvasively for different cases of interest. The wrist pulse waveforms have been analyzed using spatial features. Results have been obtained for the case of wrist pulse signals recorded for several subjects before exercise and after exercise. It is shown that the spatial features show statistically significant changes for the two cases and hence they are effective in distinguishing the changes taking place due to exercise. Support vector machine classifier is used to classify between the groups, and a high classification accuracy of 99.71% is achieved. Thus this paper demonstrates the utility of the spatial features in studying wrist pulse signals obtained under various recording conditions. The ability of the model to distinguish changes occurring under two different recording conditions can be potentially used for healthcare applications.","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":"128266467","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.2014.6949920
C. N. Devi, A. Chandrasekharan, V. Sundararaman, Z. C. Alex
This paper provides an overview of magnetic resonance imaging of the neonatal brain, presents the challenges involved in segmenting the neonatal brain images and reviews the existing techniques for automatic segmentation, including atlas-based probabilistic segmentations and morphology based brain segmentation. It compares the various methods in practice and highlights their limitations, particularly the inadequacies in segmenting the myelinated portions of the brain. It also proposes a new approach to overcome these shortcomings.
{"title":"Automatic segmentation of neonatal brain magnetic resonance images","authors":"C. N. Devi, A. Chandrasekharan, V. Sundararaman, Z. C. Alex","doi":"10.1109/ICCSP.2014.6949920","DOIUrl":"https://doi.org/10.1109/ICCSP.2014.6949920","url":null,"abstract":"This paper provides an overview of magnetic resonance imaging of the neonatal brain, presents the challenges involved in segmenting the neonatal brain images and reviews the existing techniques for automatic segmentation, including atlas-based probabilistic segmentations and morphology based brain segmentation. It compares the various methods in practice and highlights their limitations, particularly the inadequacies in segmenting the myelinated portions of the brain. It also proposes a new approach to overcome these shortcomings.","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":"127425618","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.2014.6949856
R. Heldah Paul, J. Jeeva
Magnetic Resonance Imaging (MRI) has become one of the most promising technologies for the treatment of cardiac abnormalities. Nowadays, Image processing techniques are widely used in medical field to detect cardiac disorders. In this paper we present a simple and novel algorithm to automatically segment the Left Ventricle (LV) in short axis cardiac cine MRI. The frames of the cine MRI of a pathological and five normal patients are processed using enhancement, thresholding and morphological operations. The variation in the area of the left ventricle is calculated for the entire cardiac cycle for normal and diseased conditions. The pattern of variation in area for abnormal is significantly different from that of normal and hence could be used as a tool for detecting abnormal cardiac motion.
{"title":"Left ventricle segmentation from cardiac cine MRI to detect cardiac abnormalities","authors":"R. Heldah Paul, J. Jeeva","doi":"10.1109/ICCSP.2014.6949856","DOIUrl":"https://doi.org/10.1109/ICCSP.2014.6949856","url":null,"abstract":"Magnetic Resonance Imaging (MRI) has become one of the most promising technologies for the treatment of cardiac abnormalities. Nowadays, Image processing techniques are widely used in medical field to detect cardiac disorders. In this paper we present a simple and novel algorithm to automatically segment the Left Ventricle (LV) in short axis cardiac cine MRI. The frames of the cine MRI of a pathological and five normal patients are processed using enhancement, thresholding and morphological operations. The variation in the area of the left ventricle is calculated for the entire cardiac cycle for normal and diseased conditions. The pattern of variation in area for abnormal is significantly different from that of normal and hence could be used as a tool for detecting abnormal cardiac motion.","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":"132326572","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.2014.6949828
A. Vishwakarma, A. Kumar, G. K. Singh
An efficient M-channel cosine modulated transmultiplexer system can be simply designed in two steps: first, efficient design of prototype filter and second designing of synthesis/analysis filters using cosine modulation technique. In this paper, first prototype filter is designed using weighted constrained least square technique, then using an efficient optimization algorithm, sum of interference parameters such as inter-channel interference and inter-symbol interference of transmultiplexer system has been reduced. At last, M-channel uniform transmultiplexer system has been designed by using cosine modulation. With the help of design examples, dominance of the proposed method is illustrated.
{"title":"An optimized design of prototype filter for cosine modulated transmultiplexer","authors":"A. Vishwakarma, A. Kumar, G. K. Singh","doi":"10.1109/ICCSP.2014.6949828","DOIUrl":"https://doi.org/10.1109/ICCSP.2014.6949828","url":null,"abstract":"An efficient M-channel cosine modulated transmultiplexer system can be simply designed in two steps: first, efficient design of prototype filter and second designing of synthesis/analysis filters using cosine modulation technique. In this paper, first prototype filter is designed using weighted constrained least square technique, then using an efficient optimization algorithm, sum of interference parameters such as inter-channel interference and inter-symbol interference of transmultiplexer system has been reduced. At last, M-channel uniform transmultiplexer system has been designed by using cosine modulation. With the help of design examples, dominance of the proposed method is illustrated.","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":"130282605","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.2014.6950048
B. S. Anil, Kale Aniket Vilas, S. Jagtap
Road accidents are a human tragedy. They involve high human suffering and monetary costs in terms of untimely deaths, injuries and loss of potential income. There are so many new techniques such as Antilock Breaking System (ABS), Adaptive Cruise Control (ACC), Anti Collision System (ACS) to avoid accidents and in spite of all this, such large number of accidents takes place. Hence this paper presents a system which gives an idea about what can be done to provide medical help and other facilities after accident as soon as possible. Accident can be detected using flex sensor and accelerometer, while location of accident will be informed to desired persons such as nearest hospital, police and owner of vehicle through sms sent using GSM modem containing co-ordinates obtained from GPS along with time of accident and vehicle number. Camera located inside vehicle will transmit real time video to see current situation of passengers inside vehicle. Thus this paper emphasizes on post-accident system for detecting and informing about it. Simulation result on hyper terminal is also presented in this paper.
{"title":"Intelligent system for vehicular accident detection and notification","authors":"B. S. Anil, Kale Aniket Vilas, S. Jagtap","doi":"10.1109/ICCSP.2014.6950048","DOIUrl":"https://doi.org/10.1109/ICCSP.2014.6950048","url":null,"abstract":"Road accidents are a human tragedy. They involve high human suffering and monetary costs in terms of untimely deaths, injuries and loss of potential income. There are so many new techniques such as Antilock Breaking System (ABS), Adaptive Cruise Control (ACC), Anti Collision System (ACS) to avoid accidents and in spite of all this, such large number of accidents takes place. Hence this paper presents a system which gives an idea about what can be done to provide medical help and other facilities after accident as soon as possible. Accident can be detected using flex sensor and accelerometer, while location of accident will be informed to desired persons such as nearest hospital, police and owner of vehicle through sms sent using GSM modem containing co-ordinates obtained from GPS along with time of accident and vehicle number. Camera located inside vehicle will transmit real time video to see current situation of passengers inside vehicle. Thus this paper emphasizes on post-accident system for detecting and informing about it. Simulation result on hyper terminal is also presented in this paper.","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":"127866587","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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