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2010 International Conference on Signal Acquisition and Processing最新文献

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A Method of Continuous Data Flow Embedded within Speech Signals 语音信号中嵌入连续数据流的方法
2010 International Conference on Signal Acquisition and Processing Pub Date : 2010-02-09 DOI: 10.1109/ICSAP.2010.26
Shibiao Wan, Chong Yao, Yuxi Hu, Guangmin Zhang
{"title":"A Method of Continuous Data Flow Embedded within Speech Signals","authors":"Shibiao Wan, Chong Yao, Yuxi Hu, Guangmin Zhang","doi":"10.1109/ICSAP.2010.26","DOIUrl":"https://doi.org/10.1109/ICSAP.2010.26","url":null,"abstract":"In this paper, we propose one method to transmit any kind of possible information in an acceptable rate through speech channels while people are talking on the mobile or fixed phones. The paper gives detail description of data embedding and decoding, the information to be transmitted is embedded into the echo of the original speech at the transmitting end, and is decoded through cepstrum analysis at the receiving end. Compared to echo watermarking technologies, the method would have more advantages:(1) By segments division, the transmitting capacity can be improved;(2) The original speech signal will not be corrupted by the echoes;(3)The method do not need complex Error Control strategy. Further, the paper gives the properties analysis: Correct Decoding Probability (CDP), Data Rate, and the effect of front and rear noises. The simulation results show the methods can embed data with any length into speech signal. Finally, parameters selection and applications are also discussed in this paper.","PeriodicalId":303366,"journal":{"name":"2010 International Conference on Signal Acquisition and Processing","volume":"73 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-02-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127220043","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}
引用次数: 1
Improved Chaos Optimization Method in the Fractional Fourier Transform 分数阶傅里叶变换中改进的混沌优化方法
2010 International Conference on Signal Acquisition and Processing Pub Date : 2010-02-09 DOI: 10.1109/ICSAP.2010.80
Hongkai Wei, Pingbo Wang, Zhiming Cai, Yinfeng Fu
{"title":"Improved Chaos Optimization Method in the Fractional Fourier Transform","authors":"Hongkai Wei, Pingbo Wang, Zhiming Cai, Yinfeng Fu","doi":"10.1109/ICSAP.2010.80","DOIUrl":"https://doi.org/10.1109/ICSAP.2010.80","url":null,"abstract":"In order to overcome the inefficiency shortcoming of traditional step-based searching method for extremum seeking in two-dimensional fractional Fourier domain, the chaos optimization method is introduced and applied successfully in fractional Fourier transform. To accelerate the convergence further, two improved chaos optimization methods are proposed. The performances of the proposed optimization methods are verified by comparing with step-based method and other intelligent optimization methods such as genetic algorithms, continuous ant colony algorithm and particle swarm optimization based on simulation. Results show that the second presented chaos optimization algorithm is more preferable considering computation efficiency, precision and resolution.","PeriodicalId":303366,"journal":{"name":"2010 International Conference on Signal Acquisition and Processing","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-02-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127379414","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}
引用次数: 1
Iris Recognition Using Vector Quantization 基于矢量量化的虹膜识别
2010 International Conference on Signal Acquisition and Processing Pub Date : 2010-02-09 DOI: 10.1109/ICSAP.2010.45
H. B. Kekre, T. Sarode, V. Bharadi, A. Agrawal, R. J. Arora, M. Nair
{"title":"Iris Recognition Using Vector Quantization","authors":"H. B. Kekre, T. Sarode, V. Bharadi, A. Agrawal, R. J. Arora, M. Nair","doi":"10.1109/ICSAP.2010.45","DOIUrl":"https://doi.org/10.1109/ICSAP.2010.45","url":null,"abstract":"In today’s world, where terrorist attacks are on the rise, employment of infallible security systems is a must. Iris recognition enjoys universality, high degree of uniqueness and moderate user co-operation. This makes Iris recognition systems unavoidable in emerging security & authentication mechanisms. We propose an iris recognition system based on vector quantization. The proposed system does not need any pre-processing and segmentation of the iris. We have tested LBG, Kekre’s Proportionate Error Algorithm (KPE) & Kekre’s Fast Codebook Generation Algorithm (KFCG) for the clustering purpose. From the results it is observed that KFCG requires 99.79% less computations as that of LBG and KPE. Further the KFCG method gives best performance with the accuracy of 89.10% outperforming LBG that gives accuracy around 81.25%. Performance of individual methods is evaluated and presented in this paper.","PeriodicalId":303366,"journal":{"name":"2010 International Conference on Signal Acquisition and Processing","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-02-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129920322","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}
引用次数: 15
A Sensor Set Selecting Algorithm Based on Confidence Detection in Cognitive Radio 认知无线电中基于置信度检测的传感器集选择算法
2010 International Conference on Signal Acquisition and Processing Pub Date : 2010-02-09 DOI: 10.1109/ICSAP.2010.17
Xiao Zhang, Jin-Long Wang, Qi-hui Wu
{"title":"A Sensor Set Selecting Algorithm Based on Confidence Detection in Cognitive Radio","authors":"Xiao Zhang, Jin-Long Wang, Qi-hui Wu","doi":"10.1109/ICSAP.2010.17","DOIUrl":"https://doi.org/10.1109/ICSAP.2010.17","url":null,"abstract":"Although the method of cooperative spectrum sensing can greatly improve the sensing performance, the consumption of system resources will increase as the number of cooperative sensors increases, therefore, the number of cooperative sensors to use is a compromise between sensing performance and consumption of system resources. Firstly, based on the expression for the probability of detection, a sensor set selecting method is proposed; then, a confidence based trustless sensor detecting method is presented to delete the trustless sensors from CRN which would add negative effect on the sensor set selecting method; lastly, based on the two methods above, a confidence based sensor set selecting algorithm is proposed, which not only effectively delete the trustless sensors from CRN but also use fewest cooperative sensors to minimize the consumption of system resources, while still having enough for the sensing performance requirements. Analysis and numerical results illustrate the effectiveness and reliability of the proposed algorithm.","PeriodicalId":303366,"journal":{"name":"2010 International Conference on Signal Acquisition and Processing","volume":"198 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-02-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131310265","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}
引用次数: 2
An Enhanced Implementation of Brain Tumor Detection Using Segmentation Based on Soft Computing
2010 International Conference on Signal Acquisition and Processing Pub Date : 2010-02-09 DOI: 10.1109/ICSAP.2010.55
T. Logeswari, M. Karnan
{"title":"An Enhanced Implementation of Brain Tumor Detection Using Segmentation Based on Soft Computing","authors":"T. Logeswari, M. Karnan","doi":"10.1109/ICSAP.2010.55","DOIUrl":"https://doi.org/10.1109/ICSAP.2010.55","url":null,"abstract":"Image Segmentation is an important and challenging factor in the medical image segmentation. This paper describes segmentation method consisting of two phases. In the first phase, the MRI brain image is acquired from patients database, In that film artifact and noise are removed. After that Hierarchical Self Organizing Map(HSOM) is applied for image segmentation. The HSOM is the extension of the conventional self organizing map used to classify the image row by row. In this lowest level of weight vector, a higher value of tumor pixels, computation speed is achieved by the HSOM with vector quantization","PeriodicalId":303366,"journal":{"name":"2010 International Conference on Signal Acquisition and Processing","volume":"73 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-02-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126837936","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}
引用次数: 63
Towards Benchmarking of Video Motion Tracking Algorithms 视频运动跟踪算法的基准测试研究
2010 International Conference on Signal Acquisition and Processing Pub Date : 2010-02-09 DOI: 10.1109/ICSAP.2010.84
M. Motwani, Nishith Tirpankar, R. Motwani, M. Nicolescu, F. Harris
{"title":"Towards Benchmarking of Video Motion Tracking Algorithms","authors":"M. Motwani, Nishith Tirpankar, R. Motwani, M. Nicolescu, F. Harris","doi":"10.1109/ICSAP.2010.84","DOIUrl":"https://doi.org/10.1109/ICSAP.2010.84","url":null,"abstract":"The environment in which video motion needs to be tracked, places several constraints on the design of the tracking system. Current datasets which are used to evaluate and compare video motion tracking algorithms use a cumulative performance measure without thoroughly analyzing the effect of these different constraints imposed by the environment. There is need to build a heuristic framework which analyses these constraints as parameters of the framework and their effect on selection or design of tracking algorithm. The emphasis in this paper is to identify these parameters which will lay a foundation for defining subjective measures for the comparison of performance evaluation of tracking algorithms.","PeriodicalId":303366,"journal":{"name":"2010 International Conference on Signal Acquisition and Processing","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-02-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116667162","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}
引用次数: 8
The Effect of Subcarrier-Based Channel Estimation on the BER Bound of Turbo Coded OFDM/SDMA System 基于子载波的信道估计对Turbo编码OFDM/SDMA系统误码率界的影响
2010 International Conference on Signal Acquisition and Processing Pub Date : 2010-02-09 DOI: 10.1109/ICSAP.2010.82
Yaghoob Taghinia, G. Dadashzadeh, E. Jedari, A. Enayati
{"title":"The Effect of Subcarrier-Based Channel Estimation on the BER Bound of Turbo Coded OFDM/SDMA System","authors":"Yaghoob Taghinia, G. Dadashzadeh, E. Jedari, A. Enayati","doi":"10.1109/ICSAP.2010.82","DOIUrl":"https://doi.org/10.1109/ICSAP.2010.82","url":null,"abstract":"In this paper, we study the performance of the channel estimation in a Turbo coded, orthogonal frequency division multiplexing (OFDM) with multiple antennas at the receiver. We survey the accuracy of the channel estimation for different number of users and different number of pilot subcarriers. Moreover, since there is not a closed form solution to the BER of the Turbo coded system for different number of constellation size. We develop an equation to obtain the BER bound of the Turbo coded OFDM/SDMA system with M-ary quadrature amplitude modulation (MQAM) in the Rayleigh flat fading channel as a function of the signal constellation and characteristic of the Turbo code with a curve fitting and then propose a method for selecting switching threshold in adaptive modulation case.","PeriodicalId":303366,"journal":{"name":"2010 International Conference on Signal Acquisition and Processing","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-02-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122912293","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}
引用次数: 0
A Novel High Performance Atto-Ampere Current Mirror 一种新型高性能亚安培电流镜
2010 International Conference on Signal Acquisition and Processing Pub Date : 2010-02-09 DOI: 10.1109/ICSAP.2010.16
H. F. Baghtash, K. Monfaredi, S. J. Azhari
{"title":"A Novel High Performance Atto-Ampere Current Mirror","authors":"H. F. Baghtash, K. Monfaredi, S. J. Azhari","doi":"10.1109/ICSAP.2010.16","DOIUrl":"https://doi.org/10.1109/ICSAP.2010.16","url":null,"abstract":"in this paper is proposed a novel atto-ampere current mirror (AACM) which reaches the minimum yet reported current range of 0.4aA. Operation of this circuit is based on source voltage modulation instead of conventionally used gate voltage modulation which interestingly prevents usage of commonly required voltage shifting in those circuits. The proposed circuit has a simple structure prohibiting large chip area consumption. The proposed current mirror is the best choice for ultra low power low voltage (ULPVL) applications. Simulation results in TSMC 0.18µm CMOS technology with Hspice are presented to demonstrate the validation of the proposed current mirror.","PeriodicalId":303366,"journal":{"name":"2010 International Conference on Signal Acquisition and Processing","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-02-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133550551","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}
引用次数: 8
An Adept Edge Detection Algorithm for Human Knee Osteoarthritis Images 人类膝关节骨关节炎图像的边缘检测算法
2010 International Conference on Signal Acquisition and Processing Pub Date : 2010-02-09 DOI: 10.1109/ICSAP.2010.53
S. Zahurul, S. Zahidul, R. Jidin
{"title":"An Adept Edge Detection Algorithm for Human Knee Osteoarthritis Images","authors":"S. Zahurul, S. Zahidul, R. Jidin","doi":"10.1109/ICSAP.2010.53","DOIUrl":"https://doi.org/10.1109/ICSAP.2010.53","url":null,"abstract":"Digital image processing comprises varieties of applications, where some of these used in medical image processing include convolution, edge detection as well as contrast enhancement. Efficient edge detection depends on choosing the threshold; the choice of threshold directly determines the results of edge detection. In this paper, Sobel edge detection operator and its enhanced algorithm are first discussed in terms of optimal thresholding in C language under Linux platform. It is implemented a competent execution time for this new enhanced algorithm to detect edges for human knee osteoarthritis images in different critical situations. The proposed method is able to exhibit discernible view of salient features of most osteoarthritis images with approximately 50% better execution time compare to classical Sobel method. Also, it is shown that the algorithm is very effective in case of noisy and blurs images.","PeriodicalId":303366,"journal":{"name":"2010 International Conference on Signal Acquisition and Processing","volume":"87 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-02-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123155464","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}
引用次数: 9
Contour Following Using Maximum Search Algorithm 基于最大搜索算法的轮廓跟踪
2010 International Conference on Signal Acquisition and Processing Pub Date : 2010-02-09 DOI: 10.1109/ICSAP.2010.74
Chandan Banerjee, Gaurav Pandey, Hemant Kr. Namdeo
{"title":"Contour Following Using Maximum Search Algorithm","authors":"Chandan Banerjee, Gaurav Pandey, Hemant Kr. Namdeo","doi":"10.1109/ICSAP.2010.74","DOIUrl":"https://doi.org/10.1109/ICSAP.2010.74","url":null,"abstract":"In this paper we are generating a gray gradient image with clearly visible object edges and without branches(e.g. letter”B” = 3 objects O1, O2, O3, use image”text.bmp”), then we are determining the contour lines of the objects as lists of pixel coordinates and of contour codes (including start pixels). We are using maximum search, starting with 3directions, further moving into 5 and 7 directions whenever required.","PeriodicalId":303366,"journal":{"name":"2010 International Conference on Signal Acquisition and Processing","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-02-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129759362","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}
引用次数: 4
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