Pub Date : 2017-03-01DOI: 10.1109/ICSCN.2017.8085689
M. Sukhanya, T. Kumar, K. Gavaskar
The proposed design includes the Link Training and Status State Machine (LTSSM). The LTSSM has both the upstream port and downstream port. The transition between all the 12 link states has been designed and verified. Complex scenarios are covered with multiple cover groups with many cover points. The RTL behavior of the LTSSM in Link Layer is verified using System Verilog and its verification is carried out in Mentor Graphics tool. The proposed verification environment includes the constrained randomization, functional coverage and code coverage. In the proposed system, DUT is subjected to the verification with various coverage metrics such as code coverage, functional coverage, etc. The functional coverage obtained 87.5 percentage by using cover groups.
{"title":"Design and verification of LTSSM in USB 3.0 link layer using system verilog","authors":"M. Sukhanya, T. Kumar, K. Gavaskar","doi":"10.1109/ICSCN.2017.8085689","DOIUrl":"https://doi.org/10.1109/ICSCN.2017.8085689","url":null,"abstract":"The proposed design includes the Link Training and Status State Machine (LTSSM). The LTSSM has both the upstream port and downstream port. The transition between all the 12 link states has been designed and verified. Complex scenarios are covered with multiple cover groups with many cover points. The RTL behavior of the LTSSM in Link Layer is verified using System Verilog and its verification is carried out in Mentor Graphics tool. The proposed verification environment includes the constrained randomization, functional coverage and code coverage. In the proposed system, DUT is subjected to the verification with various coverage metrics such as code coverage, functional coverage, etc. The functional coverage obtained 87.5 percentage by using cover groups.","PeriodicalId":383458,"journal":{"name":"2017 Fourth International Conference on Signal Processing, Communication and Networking (ICSCN)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130810064","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 : 2017-03-01DOI: 10.1109/ICSCN.2017.8085655
P. Vardhini, B. Geethanjali, Mahesh Veezhinathan
Mental Stress is the psychological condition experienced when an individual confronts a situation, where the demands are beyond one's capabilities. Over the years, researchers analysed many relaxation techniques by which stress levels could be reduced. In this work, an attempt has been made to analyse the effect of one of the relaxation stimuli (Alpha music) in the mental task performance. The participants are identified as Normal or Stressed based on the Stress scores in Depression, Anxiety and Stress Scales (DASS). The Stroop task is provided to the participants and the reaction times for congruent and incongruent stimuli were calculated. The task performance measures such as Omission and Commission errors in the mental task were analysed, before and after providing Alpha music. Fourteen participants were identified as normal participants and fourteen participants were identified as stressed participants using DASS. The reaction time was found to be significantly higher (p<0.05) for incongruent stimuli than for the congruent stimuli for both group of participants. The Omission and Commission errors significantly reduced (p<0.05) after the provision of relaxation stimuli. This finding suggests that under the influence of alpha music, reduction in the feelings of stress and increased sense of relaxation is observed.
{"title":"Effect of relaxation stimuli on mental task performance","authors":"P. Vardhini, B. Geethanjali, Mahesh Veezhinathan","doi":"10.1109/ICSCN.2017.8085655","DOIUrl":"https://doi.org/10.1109/ICSCN.2017.8085655","url":null,"abstract":"Mental Stress is the psychological condition experienced when an individual confronts a situation, where the demands are beyond one's capabilities. Over the years, researchers analysed many relaxation techniques by which stress levels could be reduced. In this work, an attempt has been made to analyse the effect of one of the relaxation stimuli (Alpha music) in the mental task performance. The participants are identified as Normal or Stressed based on the Stress scores in Depression, Anxiety and Stress Scales (DASS). The Stroop task is provided to the participants and the reaction times for congruent and incongruent stimuli were calculated. The task performance measures such as Omission and Commission errors in the mental task were analysed, before and after providing Alpha music. Fourteen participants were identified as normal participants and fourteen participants were identified as stressed participants using DASS. The reaction time was found to be significantly higher (p<0.05) for incongruent stimuli than for the congruent stimuli for both group of participants. The Omission and Commission errors significantly reduced (p<0.05) after the provision of relaxation stimuli. This finding suggests that under the influence of alpha music, reduction in the feelings of stress and increased sense of relaxation is observed.","PeriodicalId":383458,"journal":{"name":"2017 Fourth International Conference on Signal Processing, Communication and Networking (ICSCN)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114552105","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 : 2017-03-01DOI: 10.1109/ICSCN.2017.8085700
J. Johnson, Maran Ponnambalam, P. Chandramani
This work explores the injection locked single and differential ended ring VCO (Voltage Controlled Oscillator) suitable for a frequency synthesizer to operating over a wide range of frequencies with reduced phase noise. Along with design, the comparisons between 3 stage single ended and differential ended injection locked ring VCO topologies were studied. Single ended VCO was observed to have a tuning range of 1.2 to 3.6 GHz with phase noise of −110.2 dBc/Hz at 10 MHz offset and differential ended design have a tuning range of 1.5 to 3.1 GHz with phase noise of −109.9 dBc/Hz at 10 MHz offset. The injection locked VCOs were designed using 90 nm CMOS technology in ADS (Advance Design System).
{"title":"Comparison of tunability and phase noise associated with injection locked three staged single and differential ended VCOs in 90nm CMOS","authors":"J. Johnson, Maran Ponnambalam, P. Chandramani","doi":"10.1109/ICSCN.2017.8085700","DOIUrl":"https://doi.org/10.1109/ICSCN.2017.8085700","url":null,"abstract":"This work explores the injection locked single and differential ended ring VCO (Voltage Controlled Oscillator) suitable for a frequency synthesizer to operating over a wide range of frequencies with reduced phase noise. Along with design, the comparisons between 3 stage single ended and differential ended injection locked ring VCO topologies were studied. Single ended VCO was observed to have a tuning range of 1.2 to 3.6 GHz with phase noise of −110.2 dBc/Hz at 10 MHz offset and differential ended design have a tuning range of 1.5 to 3.1 GHz with phase noise of −109.9 dBc/Hz at 10 MHz offset. The injection locked VCOs were designed using 90 nm CMOS technology in ADS (Advance Design System).","PeriodicalId":383458,"journal":{"name":"2017 Fourth International Conference on Signal Processing, Communication and Networking (ICSCN)","volume":"129 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114595745","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 : 2017-03-01DOI: 10.1109/ICSCN.2017.8085688
M. Kanmani, M. Kannan, S. Devika
Wireless sensor network (WSN), a network of minute interconnected sensing element nodes communicating within themselves utilizing radio frequency signals and utilized in immensely enormous quantities to examine and realize the physical world. The communicating sensing element nodes are power-driven by batteries, which have a circumscribed lifetime. Hence managing the energy is a primary requisite for the design of WSN. In this paper, an efficient wireless sensor network utilizing a cooperative Multiple Input Multiple Output (MIMO) predicated on Space Time Trellis Code (STTC) is proposed. This STTC based cooperative MIMO technique is incorporated into Exclusive OR — Low Energy Adaptive Clustering Hierarchy (XOR-LEACH) protocol. For selection of cluster head, the last cluster head and a arbitrary binary vector are XORed together. The proposed system obtains amended performance and is compared with the existing LEACH protocol in terms of network lifespan and residual energy. This system performance in terms of Bit Error Rate (BER) has been analyzed for various detection techniques.
{"title":"Efficient cooperative MIMO transmission clustering algorithm for wireless sensor networks","authors":"M. Kanmani, M. Kannan, S. Devika","doi":"10.1109/ICSCN.2017.8085688","DOIUrl":"https://doi.org/10.1109/ICSCN.2017.8085688","url":null,"abstract":"Wireless sensor network (WSN), a network of minute interconnected sensing element nodes communicating within themselves utilizing radio frequency signals and utilized in immensely enormous quantities to examine and realize the physical world. The communicating sensing element nodes are power-driven by batteries, which have a circumscribed lifetime. Hence managing the energy is a primary requisite for the design of WSN. In this paper, an efficient wireless sensor network utilizing a cooperative Multiple Input Multiple Output (MIMO) predicated on Space Time Trellis Code (STTC) is proposed. This STTC based cooperative MIMO technique is incorporated into Exclusive OR — Low Energy Adaptive Clustering Hierarchy (XOR-LEACH) protocol. For selection of cluster head, the last cluster head and a arbitrary binary vector are XORed together. The proposed system obtains amended performance and is compared with the existing LEACH protocol in terms of network lifespan and residual energy. This system performance in terms of Bit Error Rate (BER) has been analyzed for various detection techniques.","PeriodicalId":383458,"journal":{"name":"2017 Fourth International Conference on Signal Processing, Communication and Networking (ICSCN)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116895899","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 : 2017-03-01DOI: 10.1109/ICSCN.2017.8085651
S. Vignesh, V. Vaidehi, M. Kannan
Key Frame Extraction (KFE) is an important block involved with any search process on large scale video logs. KFE has wide applications in fields like Content based retrieval systems, Video Summarization, compression and Video content management. The conventional algorithms exploit the pixel similarities or histogram distributions between frames of video, ignoring the key frame metric information in surveillance videos. The proposed Unimodality of MBType (UMB-KFE) method is motivated by the availability of frame difference metric information of Macro Blocks (I, P, B Frames) and ability to distribute them in a Unimodal distribution form. The difference metrics are further post processed with L2-norm upon the P-frames for efficient reduction. Real merit of the proposed system is that it does not need shot identification, segmentation or context information separation for KFE. Finally, experiments are performed by evaluating the proposed method upon benchmark video datasets and synthetic datasets. A comparison of the results obtained with ground truth information and with state-of-the-art techniques proves that the proposed method is at par in performance by extracting non-repetitive key frames.
{"title":"Unimodality of MBType frame different metrics for efficient Key Frame Extraction in Video","authors":"S. Vignesh, V. Vaidehi, M. Kannan","doi":"10.1109/ICSCN.2017.8085651","DOIUrl":"https://doi.org/10.1109/ICSCN.2017.8085651","url":null,"abstract":"Key Frame Extraction (KFE) is an important block involved with any search process on large scale video logs. KFE has wide applications in fields like Content based retrieval systems, Video Summarization, compression and Video content management. The conventional algorithms exploit the pixel similarities or histogram distributions between frames of video, ignoring the key frame metric information in surveillance videos. The proposed Unimodality of MBType (UMB-KFE) method is motivated by the availability of frame difference metric information of Macro Blocks (I, P, B Frames) and ability to distribute them in a Unimodal distribution form. The difference metrics are further post processed with L2-norm upon the P-frames for efficient reduction. Real merit of the proposed system is that it does not need shot identification, segmentation or context information separation for KFE. Finally, experiments are performed by evaluating the proposed method upon benchmark video datasets and synthetic datasets. A comparison of the results obtained with ground truth information and with state-of-the-art techniques proves that the proposed method is at par in performance by extracting non-repetitive key frames.","PeriodicalId":383458,"journal":{"name":"2017 Fourth International Conference on Signal Processing, Communication and Networking (ICSCN)","volume":"117 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124640827","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 : 2017-03-01DOI: 10.1109/ICSCN.2017.8085695
B. Panjavamam, P. Bhuvaneswari
Recent advancements in health care services demand reliable transmission of medical images such as MRI and CT for better diagnosis and treatment. The effective utilization of available spectrum is one of the requirements for stable transmission medical information. The proposed research work aims to increase the effective use of available spectrum for image transmission over Long Term Evolution (LTE) networks. Image compression techniques reduce the volume of data by removing redundancies, thereby resulting in effective storage and transmission. In this work, the wavelet based SPIHT algorithm is employed to compress the medical images without compromising on the image quality. The quality parameters, namely Peak Signal to Noise Ratio (PSNR), Mean Squared Error (MSE) and Compression Ratio (CR) are calculated. The suitability of this algorithm for different types of medical images is analyzed with variable bit rates.
{"title":"Performance analysis of SPIHT algorithm for biomedical image transmission","authors":"B. Panjavamam, P. Bhuvaneswari","doi":"10.1109/ICSCN.2017.8085695","DOIUrl":"https://doi.org/10.1109/ICSCN.2017.8085695","url":null,"abstract":"Recent advancements in health care services demand reliable transmission of medical images such as MRI and CT for better diagnosis and treatment. The effective utilization of available spectrum is one of the requirements for stable transmission medical information. The proposed research work aims to increase the effective use of available spectrum for image transmission over Long Term Evolution (LTE) networks. Image compression techniques reduce the volume of data by removing redundancies, thereby resulting in effective storage and transmission. In this work, the wavelet based SPIHT algorithm is employed to compress the medical images without compromising on the image quality. The quality parameters, namely Peak Signal to Noise Ratio (PSNR), Mean Squared Error (MSE) and Compression Ratio (CR) are calculated. The suitability of this algorithm for different types of medical images is analyzed with variable bit rates.","PeriodicalId":383458,"journal":{"name":"2017 Fourth International Conference on Signal Processing, Communication and Networking (ICSCN)","volume":"78 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116253064","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 : 2017-03-01DOI: 10.1109/ICSCN.2017.8085715
Sudipta Dey, T. Chakraborty, I. S. Misra
Cognitive Radio Network (CRN) is one of the emerging technologies to improve the spectrum utilization where Secondary Users (SUs) opportunistically uses the spectrum without creating significant interference to Primary Users (PUs). However, in CRN channel characteristics varies widely due to the random arrival of PUs which leads to call dropping/call blocking. Excessive call dropping reduces the quality of VoIP communication for SU's. Quality of Service (QoS) can be improved by exclusive channel reservation for SUs which involves policy formation and cost implication. To avoid the complexity, we have used sub-banding concept for Call Admission Control (CAC) scheme and utilized the scheme for VoIP applications using Adaptive Codec Switching Policy. Test bed analysis is performed to evaluate the behavior of some well known high/low bit rate codecs in CRN. Overall system performance is evaluated by using two dimensional Markov Model. Analysis shows that there is significant improvement in system capacity as probability of dropping and probability of blocking reduces. Finally Grade of Service (GoS) is considered as overall system performance metric which shows nearly 39% improvement under high SU traffic condition.
{"title":"A sub-band based CAC scheme using adaptive codec switching for improved capacity and GoS of cognitive VoIP users","authors":"Sudipta Dey, T. Chakraborty, I. S. Misra","doi":"10.1109/ICSCN.2017.8085715","DOIUrl":"https://doi.org/10.1109/ICSCN.2017.8085715","url":null,"abstract":"Cognitive Radio Network (CRN) is one of the emerging technologies to improve the spectrum utilization where Secondary Users (SUs) opportunistically uses the spectrum without creating significant interference to Primary Users (PUs). However, in CRN channel characteristics varies widely due to the random arrival of PUs which leads to call dropping/call blocking. Excessive call dropping reduces the quality of VoIP communication for SU's. Quality of Service (QoS) can be improved by exclusive channel reservation for SUs which involves policy formation and cost implication. To avoid the complexity, we have used sub-banding concept for Call Admission Control (CAC) scheme and utilized the scheme for VoIP applications using Adaptive Codec Switching Policy. Test bed analysis is performed to evaluate the behavior of some well known high/low bit rate codecs in CRN. Overall system performance is evaluated by using two dimensional Markov Model. Analysis shows that there is significant improvement in system capacity as probability of dropping and probability of blocking reduces. Finally Grade of Service (GoS) is considered as overall system performance metric which shows nearly 39% improvement under high SU traffic condition.","PeriodicalId":383458,"journal":{"name":"2017 Fourth International Conference on Signal Processing, Communication and Networking (ICSCN)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121669452","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 : 2017-03-01DOI: 10.1109/ICSCN.2017.8085662
M. Abdurrahman, S. P. Kaarmukilan
Noise is an inevitable factor in an image. Several methods have been proposed to remove noise from an image. Of those wavelet transform based denoising is found to be remarkable since it works on different resolution levels. In this model different hybrid threshold have been proposed and experimented for Gaussian noise of different variance. These threshold algorithms are ranked based on their Signal to Noise Ratio(SNR) and Root Mean Square Error (RMSE) and the best threshold algorithm is suggested for denoising an image.
{"title":"Ranking of hybrid algorithms for wavelet based denoising","authors":"M. Abdurrahman, S. P. Kaarmukilan","doi":"10.1109/ICSCN.2017.8085662","DOIUrl":"https://doi.org/10.1109/ICSCN.2017.8085662","url":null,"abstract":"Noise is an inevitable factor in an image. Several methods have been proposed to remove noise from an image. Of those wavelet transform based denoising is found to be remarkable since it works on different resolution levels. In this model different hybrid threshold have been proposed and experimented for Gaussian noise of different variance. These threshold algorithms are ranked based on their Signal to Noise Ratio(SNR) and Root Mean Square Error (RMSE) and the best threshold algorithm is suggested for denoising an image.","PeriodicalId":383458,"journal":{"name":"2017 Fourth International Conference on Signal Processing, Communication and Networking (ICSCN)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126609586","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 : 2017-03-01DOI: 10.1109/ICSCN.2017.8085681
H. Ramesh, S. Xavier, S. B. Kumar
A multiple model based Unscented Kalman Filter (MMUKF) approach for position tracking of CNC servo drives is presented in this paper. The motion controller in the CNC machine has to generate motion profile to drive servo motor based on the feed back from the Encoder. The output of the feed back is affected by measurement variations due to friction and non linear behavior of tool motion. The unscented kalman filter(UKF)gives better results in non-linear motion applications by deterministic sampling of sigma points. The MM algorithm gives good estimate by combining the individual estimates of parallel filters matched to different motion models of the CNC Tool. In this paper, an Unscented Kalman Filter is used inside the multiple model algorithm to improve the estimation accuracy of tool motion at different dynamic regions of motion profile. The motion profile of tool is simulated by including fixed velocity and turn model and the MM based UKF gives better results compared to traditional kalman filters.
{"title":"Multiple model filter based position tracking in CNC machines","authors":"H. Ramesh, S. Xavier, S. B. Kumar","doi":"10.1109/ICSCN.2017.8085681","DOIUrl":"https://doi.org/10.1109/ICSCN.2017.8085681","url":null,"abstract":"A multiple model based Unscented Kalman Filter (MMUKF) approach for position tracking of CNC servo drives is presented in this paper. The motion controller in the CNC machine has to generate motion profile to drive servo motor based on the feed back from the Encoder. The output of the feed back is affected by measurement variations due to friction and non linear behavior of tool motion. The unscented kalman filter(UKF)gives better results in non-linear motion applications by deterministic sampling of sigma points. The MM algorithm gives good estimate by combining the individual estimates of parallel filters matched to different motion models of the CNC Tool. In this paper, an Unscented Kalman Filter is used inside the multiple model algorithm to improve the estimation accuracy of tool motion at different dynamic regions of motion profile. The motion profile of tool is simulated by including fixed velocity and turn model and the MM based UKF gives better results compared to traditional kalman filters.","PeriodicalId":383458,"journal":{"name":"2017 Fourth International Conference on Signal Processing, Communication and Networking (ICSCN)","volume":"167 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125762596","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 : 2017-03-01DOI: 10.1109/ICSCN.2017.8085685
P. Dinesh, M. Manikandan
Finite impulse response (FIR) filters play a key role in most of the communication devices. Many methods have employed to improve the reconfigurability and to decrease its complexity. In this paper we will discuss in detail about three different reconfigurable FIR filter architectures. Although all those three FIR filter architectures are reconfigurable but each of them have different complexity based on the way processing elements are implemented. Each of them has its own merits and demerits compared with the other methods.
{"title":"Survey on reconfigurable fir filter architecture","authors":"P. Dinesh, M. Manikandan","doi":"10.1109/ICSCN.2017.8085685","DOIUrl":"https://doi.org/10.1109/ICSCN.2017.8085685","url":null,"abstract":"Finite impulse response (FIR) filters play a key role in most of the communication devices. Many methods have employed to improve the reconfigurability and to decrease its complexity. In this paper we will discuss in detail about three different reconfigurable FIR filter architectures. Although all those three FIR filter architectures are reconfigurable but each of them have different complexity based on the way processing elements are implemented. Each of them has its own merits and demerits compared with the other methods.","PeriodicalId":383458,"journal":{"name":"2017 Fourth International Conference on Signal Processing, Communication and Networking (ICSCN)","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128245298","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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