Pub Date : 2016-10-01DOI: 10.1109/ISPACS.2016.7824678
P. Meher, K. Mahapatra
This paper presents a low power noise tolerant comparator design for arithmetic circuits. Instead of using domino logic, this paper uses a modified domino logic style. This logic uses semi-domino logic style and some extra footer transistors which lead to minimize power dissipation and noise of the comparator. The new comparator is compared with the basic domino comparator in terms of noise tolerance, delay, power consumption and power-delay product. Simulation results show the advantage of proposed comparator on the basic domino comparator in terms of noise, delay, power consumption and power-delay product. The performance of both the comparator circuits are based on UMC 180nm CMOS process models with a supply voltage of 1.8V evaluated by the comparing of the simulation results obtained from Cadence specter. From the simulation results, it can be seen clearly that the proposed comparator is quite faster, low power consuming and more noise tolerant than the basic domino comparator.
{"title":"High-performance noise tolerant comparator design for arithmetic circuits","authors":"P. Meher, K. Mahapatra","doi":"10.1109/ISPACS.2016.7824678","DOIUrl":"https://doi.org/10.1109/ISPACS.2016.7824678","url":null,"abstract":"This paper presents a low power noise tolerant comparator design for arithmetic circuits. Instead of using domino logic, this paper uses a modified domino logic style. This logic uses semi-domino logic style and some extra footer transistors which lead to minimize power dissipation and noise of the comparator. The new comparator is compared with the basic domino comparator in terms of noise tolerance, delay, power consumption and power-delay product. Simulation results show the advantage of proposed comparator on the basic domino comparator in terms of noise, delay, power consumption and power-delay product. The performance of both the comparator circuits are based on UMC 180nm CMOS process models with a supply voltage of 1.8V evaluated by the comparing of the simulation results obtained from Cadence specter. From the simulation results, it can be seen clearly that the proposed comparator is quite faster, low power consuming and more noise tolerant than the basic domino comparator.","PeriodicalId":131543,"journal":{"name":"2016 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131084352","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 : 2016-10-01DOI: 10.1109/ISPACS.2016.7824755
Shiunn-Jang Chern, Wan-Jen Huang, Hsing-I Liu
This paper considers a new configuration of the multiple-input-multiple-output (MIMO) antenna system with the orthogonal frequency division multiplexing (OFDM) technique. It includes the problem of correlation between the transmitting antennas as well as the receiving antennas. Physically, we should also consider the influence of mutual coupling when the separation of antenna elements becomes limited. Here, we deal with the up-link transmission of the space-time block coded (ST-BC) MIMO-OFDM system, without implemented the cyclic prefix (CP). The penalty of without using CP is that the receiver design of the ST-BC MIMO-OFDM system becomes more sophisticated when it is applied to combat the IBI and maintain the desired system performance, simultaneously. Based on this framework mentioned above, we investigate the mutual coupling effect over slowly-varying multipath channels. Via computer simulation results, we verify the effects of mutual coupling in performance, regarding bit-error-rate.
{"title":"The effects of mutual coupling for the space-time block coded MIMO-OFDM systems","authors":"Shiunn-Jang Chern, Wan-Jen Huang, Hsing-I Liu","doi":"10.1109/ISPACS.2016.7824755","DOIUrl":"https://doi.org/10.1109/ISPACS.2016.7824755","url":null,"abstract":"This paper considers a new configuration of the multiple-input-multiple-output (MIMO) antenna system with the orthogonal frequency division multiplexing (OFDM) technique. It includes the problem of correlation between the transmitting antennas as well as the receiving antennas. Physically, we should also consider the influence of mutual coupling when the separation of antenna elements becomes limited. Here, we deal with the up-link transmission of the space-time block coded (ST-BC) MIMO-OFDM system, without implemented the cyclic prefix (CP). The penalty of without using CP is that the receiver design of the ST-BC MIMO-OFDM system becomes more sophisticated when it is applied to combat the IBI and maintain the desired system performance, simultaneously. Based on this framework mentioned above, we investigate the mutual coupling effect over slowly-varying multipath channels. Via computer simulation results, we verify the effects of mutual coupling in performance, regarding bit-error-rate.","PeriodicalId":131543,"journal":{"name":"2016 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS)","volume":"193 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115644821","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 : 2016-10-01DOI: 10.1109/ISPACS.2016.7824762
S. Prongnuch, T. Wiangtong
The Heterogeneous Computing Platform (HCP) contains the multiple types of processing elements which generally are CPUs, GPUs, and DSPs or FPGAs. In this platform, there must be mechanism to control both hardware processing elements and co-processing elements for computational intensive applications. The main challenge is to make all elements work together efficiently through Application Programming Interface (API). This paper proposes performance evaluation of APIs and Partial Reconfigurable (PR) hardware accelerator on HCP. In Parallella single board computer, PR hardware accelerator on Zynq-7000 SoC is created and compared with the uses of Epiphany 16-cores co-processor. Matrix-vector multiplications in different sized are implemented to measure accelerator's performance in different design aspects. The results show that when processing data is increasing, the PR hardware accelerator is the most promising one to run the platform efficiently.
{"title":"Heterogeneous Computing Platform for data processing","authors":"S. Prongnuch, T. Wiangtong","doi":"10.1109/ISPACS.2016.7824762","DOIUrl":"https://doi.org/10.1109/ISPACS.2016.7824762","url":null,"abstract":"The Heterogeneous Computing Platform (HCP) contains the multiple types of processing elements which generally are CPUs, GPUs, and DSPs or FPGAs. In this platform, there must be mechanism to control both hardware processing elements and co-processing elements for computational intensive applications. The main challenge is to make all elements work together efficiently through Application Programming Interface (API). This paper proposes performance evaluation of APIs and Partial Reconfigurable (PR) hardware accelerator on HCP. In Parallella single board computer, PR hardware accelerator on Zynq-7000 SoC is created and compared with the uses of Epiphany 16-cores co-processor. Matrix-vector multiplications in different sized are implemented to measure accelerator's performance in different design aspects. The results show that when processing data is increasing, the PR hardware accelerator is the most promising one to run the platform efficiently.","PeriodicalId":131543,"journal":{"name":"2016 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS)","volume":"208 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122357025","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}
The medical image segmentation technology is quite a challenging and complicated research. Generally, an X-ray image is often giving significant information of hard tissue pathology within most assessments. Compared with medical images of Computed Tomography (CT) and Magnetic Resonance Imaging (MRI), the advantages of X-ray imaging are inexpensive, and it is widely attempted in most of the medical examinations. The X-ray imaging has been intensively applied on clinical bone diagnostics nowadays. However, the X-ray imaging still has several drawbacks on clarifying its images when radiation intensities exposed unevenly on the examined subject. For example, on a hand X-ray image, if the image has received unequal X-ray strengths, the final image would be inexplicable to separate soft tissues. In this work, we use the technique of a statistical parametric contour with threshold X-ray image segmentation technology to overcome those drawbacks of the X-ray images. By using this approach, we can successfully separate bone from muscle tissues of hand.
{"title":"Using statistical parametric contour and threshold segmentation technology applied in X-ray bone images","authors":"Kuang-Yi Chou, Chien-Sheng Lin, Chin-Hsiang Chien, Jen-Shiun Chiang, Chih-Hsien Hsia","doi":"10.1109/ISPACS.2016.7824769","DOIUrl":"https://doi.org/10.1109/ISPACS.2016.7824769","url":null,"abstract":"The medical image segmentation technology is quite a challenging and complicated research. Generally, an X-ray image is often giving significant information of hard tissue pathology within most assessments. Compared with medical images of Computed Tomography (CT) and Magnetic Resonance Imaging (MRI), the advantages of X-ray imaging are inexpensive, and it is widely attempted in most of the medical examinations. The X-ray imaging has been intensively applied on clinical bone diagnostics nowadays. However, the X-ray imaging still has several drawbacks on clarifying its images when radiation intensities exposed unevenly on the examined subject. For example, on a hand X-ray image, if the image has received unequal X-ray strengths, the final image would be inexplicable to separate soft tissues. In this work, we use the technique of a statistical parametric contour with threshold X-ray image segmentation technology to overcome those drawbacks of the X-ray images. By using this approach, we can successfully separate bone from muscle tissues of hand.","PeriodicalId":131543,"journal":{"name":"2016 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130597926","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 : 2016-10-01DOI: 10.1109/ISPACS.2016.7824696
P. Nangtin, P. Kumhom, K. Chamnongthai
In partial occlusion problem, we have many methods for gait identification. However, based on Gait Energy Image (GEI) part, they are hardly occluded local part threshold problem. We propose an adaptive local module weight to reduce score of the occluded part. The adaptive local module weight is constructed from a consensus and a complementary principles of global and local modules. Firstly, we construct the consensus principle from a row reliability and an accuracy identification weights. Then, the complementary principle is constructed from a shape weight. We extract all features by the combined TDPCA and TDLDA method. The similarity of testing module and all modules in gallery are measured by the Euclidean distance. Finally, we combine the row reliability, accuracy identification, and shape weights with the similarity scores for gait identification. For evaluating our proposed method, we use the silhouette image sequences from the EEPIT dataset with 135 classes and the CASIA dataset with 123 classes. The results show the recognition effectiveness of the proposed method over than the conventional method.
{"title":"Adaptive local module weight for feature fusion in gait identification","authors":"P. Nangtin, P. Kumhom, K. Chamnongthai","doi":"10.1109/ISPACS.2016.7824696","DOIUrl":"https://doi.org/10.1109/ISPACS.2016.7824696","url":null,"abstract":"In partial occlusion problem, we have many methods for gait identification. However, based on Gait Energy Image (GEI) part, they are hardly occluded local part threshold problem. We propose an adaptive local module weight to reduce score of the occluded part. The adaptive local module weight is constructed from a consensus and a complementary principles of global and local modules. Firstly, we construct the consensus principle from a row reliability and an accuracy identification weights. Then, the complementary principle is constructed from a shape weight. We extract all features by the combined TDPCA and TDLDA method. The similarity of testing module and all modules in gallery are measured by the Euclidean distance. Finally, we combine the row reliability, accuracy identification, and shape weights with the similarity scores for gait identification. For evaluating our proposed method, we use the silhouette image sequences from the EEPIT dataset with 135 classes and the CASIA dataset with 123 classes. The results show the recognition effectiveness of the proposed method over than the conventional method.","PeriodicalId":131543,"journal":{"name":"2016 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123666173","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 : 2016-10-01DOI: 10.1109/ISPACS.2016.7824767
Anchalee Manosueb, J. Koseeyaporn, P. Wardkein
This paper presents a novel method for OFDM demodulation based on LMS adaptive filter. In this proposed method, data symbol is reconstructed from amplitude of reference signal without using fast Fourier transform and thus this method can be applied for real time system. In addition, the convergence rate of adaptive filter can be promoted by using the proper initial weights. The proposed technique will be applied for BASK-OFDM, BPSK-OFDM and QAM-OFDM demodulation. The obtained simulation results of the proposed method compared to the conventional scheme show that the proposed technique can be applied for real time processing of OFDM demodulation.
{"title":"An adaptive demodulation for OFDM signal","authors":"Anchalee Manosueb, J. Koseeyaporn, P. Wardkein","doi":"10.1109/ISPACS.2016.7824767","DOIUrl":"https://doi.org/10.1109/ISPACS.2016.7824767","url":null,"abstract":"This paper presents a novel method for OFDM demodulation based on LMS adaptive filter. In this proposed method, data symbol is reconstructed from amplitude of reference signal without using fast Fourier transform and thus this method can be applied for real time system. In addition, the convergence rate of adaptive filter can be promoted by using the proper initial weights. The proposed technique will be applied for BASK-OFDM, BPSK-OFDM and QAM-OFDM demodulation. The obtained simulation results of the proposed method compared to the conventional scheme show that the proposed technique can be applied for real time processing of OFDM demodulation.","PeriodicalId":131543,"journal":{"name":"2016 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116918343","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 : 2016-10-01DOI: 10.1109/ISPACS.2016.7824680
B. T. Krishna
A Novel Least Mean Square(LMS) algorithm using First order Al-Alaoui differentiator is proposed. The condition for stability is also derived. The performance of the novel technique is compared with existing algorithms by taking an example. The results prove the efficacy of the proposed Algorithm.
{"title":"Novel Least Mean Square Algorithm","authors":"B. T. Krishna","doi":"10.1109/ISPACS.2016.7824680","DOIUrl":"https://doi.org/10.1109/ISPACS.2016.7824680","url":null,"abstract":"A Novel Least Mean Square(LMS) algorithm using First order Al-Alaoui differentiator is proposed. The condition for stability is also derived. The performance of the novel technique is compared with existing algorithms by taking an example. The results prove the efficacy of the proposed Algorithm.","PeriodicalId":131543,"journal":{"name":"2016 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115295149","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 : 2016-05-12DOI: 10.1109/ISPACS.2016.7824738
Takahiro Yano, Y. Kuroki
Some of image processing techniques including noise reduction and feature extraction are realized by convolving filters designed for various purposes. A Gaussian filter is a smoothing filter, and is used in various applications such as feature point extraction. However, since coefficients of a Gaussian filter are real numbers, which requires a computational burden especially for large deviation filters. This paper describes an approximation of Gaussian filters using multi-layer convolutions of the basic binomial filter, which is implemented only by an addition and a shift operation. This study also aims at fast implementation with a parallel computing of the binomial filters on GPU (Graphical Processing Units) under CUDA (Compute Unified Device Architecture) platform introduced by NVIDIA corporation.
{"title":"Fast implementation of Gaussian filter by parallel processing of binominal filter","authors":"Takahiro Yano, Y. Kuroki","doi":"10.1109/ISPACS.2016.7824738","DOIUrl":"https://doi.org/10.1109/ISPACS.2016.7824738","url":null,"abstract":"Some of image processing techniques including noise reduction and feature extraction are realized by convolving filters designed for various purposes. A Gaussian filter is a smoothing filter, and is used in various applications such as feature point extraction. However, since coefficients of a Gaussian filter are real numbers, which requires a computational burden especially for large deviation filters. This paper describes an approximation of Gaussian filters using multi-layer convolutions of the basic binomial filter, which is implemented only by an addition and a shift operation. This study also aims at fast implementation with a parallel computing of the binomial filters on GPU (Graphical Processing Units) under CUDA (Compute Unified Device Architecture) platform introduced by NVIDIA corporation.","PeriodicalId":131543,"journal":{"name":"2016 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS)","volume":"57 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-05-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124972985","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 : 1900-01-01DOI: 10.1109/itw2.2006.323726
The document that should appear here is not currently available.
这里应该出现的文档目前不可用。
{"title":"[PDF Not Yet Available In IEEE Xplore]","authors":"","doi":"10.1109/itw2.2006.323726","DOIUrl":"https://doi.org/10.1109/itw2.2006.323726","url":null,"abstract":"The document that should appear here is not currently available.","PeriodicalId":131543,"journal":{"name":"2016 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131371816","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 : 1900-01-01DOI: 10.1109/euma.1992.335795
The document that should appear here is not currently available.
这里应该出现的文档目前不可用。
{"title":"[PDF Not Yet Available In IEEE Xplore]","authors":"","doi":"10.1109/euma.1992.335795","DOIUrl":"https://doi.org/10.1109/euma.1992.335795","url":null,"abstract":"The document that should appear here is not currently available.","PeriodicalId":131543,"journal":{"name":"2016 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS)","volume":"63 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124576743","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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