{"title":"Pulse compression technique for multi carrier phase-coded radar","authors":"B. Deng, Xizhang Wei, Xiang Li","doi":"10.1109/ICSPS.2010.5555634","DOIUrl":"https://doi.org/10.1109/ICSPS.2010.5555634","url":null,"abstract":"The multi-frequency complementary phase-coded signal (MCPC) has caught much attention of researchers recently as a new system radar signal. This paper provides pulse compression technique for such radar signal. Direct match filtering and synthetic filtering are proposed to compress the echo signal. After comparing their performance via amount of calculations, a wideband-synthesizing method is brought forward. It takes full usage of the multi carrier structure of MCPC signal, while keeps low calculation complexity. The two-level compression scheme is proved to be flexible in different applications.","PeriodicalId":234084,"journal":{"name":"2010 2nd International Conference on Signal Processing Systems","volume":"54 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-07-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124632738","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}
{"title":"Differential evolution based on a novel double-population strategy","authors":"Chen Chen","doi":"10.1109/ICSPS.2010.5555401","DOIUrl":"https://doi.org/10.1109/ICSPS.2010.5555401","url":null,"abstract":"Differential evolution (DE) is a population-based stochastic search algorithm, which shows good performance when solving many optimization problems. In order to improve the performance of DE, this paper presents a new variant of DE based on a double-population strategy. The proposed approach is called DPDE, which consists of two populations. The first population focuses on original DE algorithm, and the second one concentrates on local search. To verify the performance of DPDE, ten famous benchmark functions were selected in the experiments. Simulation results show that DPDE outperforms DE and another variant of DE on most test functions.","PeriodicalId":234084,"journal":{"name":"2010 2nd International Conference on Signal Processing Systems","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-07-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124739217","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}
{"title":"Word boundary detection in continuous speech based on suprasegmental features for hindi language","authors":"A. Agarwal, Anurag Jain, N. Prakash, S. Agrawal","doi":"10.1109/ICSPS.2010.5555691","DOIUrl":"https://doi.org/10.1109/ICSPS.2010.5555691","url":null,"abstract":"Word boundary detection in continuous speech is very common and important problem in speech synthesis and recognition. Several researches are open on this field. Since there is no sign of start of the word, end of the word and number of words in the spoken utterance of any natural language, one must study the intonation pattern of a particular language. In this paper an algorithm is proposed to detect word boundaries in continuous speech of Hindi language. A careful study of the intonation pattern of Hindi language has been done. Based on this study it is observed that, there are several suprasegmental parameters of speech signal such as pitch, F0 fundamental frequency, duration, intensity, and pause, which can play important role in finding some clues to detect the start and the end of the word from the spoken utterance of Hindi Language. The proposed algorithm is based mainly on two prosodic parameters, pitch and intensity.","PeriodicalId":234084,"journal":{"name":"2010 2nd International Conference on Signal Processing Systems","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-07-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125056635","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}
{"title":"A new multi-view image coding scheme based on fusion and BEMD","authors":"Pei-si He, Jifeng Sun","doi":"10.1109/ICSPS.2010.5555436","DOIUrl":"https://doi.org/10.1109/ICSPS.2010.5555436","url":null,"abstract":"In this paper, a novel coding scheme of multi-view image is proposed. It is based on fusion rather than redundancy removal since the former is more similar to visual characteristic of people. A multi-view image system using this scheme is designed. BEMD is applied during the fusion and compression process because of its excellent performance on image processing. Experimental results show, without reducing the image quality, the proposed scheme can provide better compression ratio than the previous ones, which open the doors for future applications.","PeriodicalId":234084,"journal":{"name":"2010 2nd International Conference on Signal Processing Systems","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-07-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129411899","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}
{"title":"Jamming research to SAR based on frequency characteristic","authors":"Hong-xu Huang, Zhitao Huang, Yi-yu Zhou","doi":"10.1109/ICSPS.2010.5555268","DOIUrl":"https://doi.org/10.1109/ICSPS.2010.5555268","url":null,"abstract":"This work is concerned with developing the blanket jamming technology against SAR based on frequency characteristic. Firstly, the SAR imaging output of the shift frequency jamming style is deduced and analyzed. Then a modified shift frequency jamming to SAR, random Shift frequency jamming (RSFJ), is presented and discussed. The theoretic research and simulation show that the RSFJ is an effective blanket jamming style to SAR with the less jamming power requirement than noise jamming.","PeriodicalId":234084,"journal":{"name":"2010 2nd International Conference on Signal Processing Systems","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-07-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128417389","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}
{"title":"A fast range migration compensation method","authors":"Lv Jing, G. Hong, S. Weimin, Zhu Mojun","doi":"10.1109/ICSPS.2010.5555267","DOIUrl":"https://doi.org/10.1109/ICSPS.2010.5555267","url":null,"abstract":"Coherent integration is usually used in matched filter radar signal processing to improve target signal to noise ratio (SNR), but the accumulation time is restrained by target's motion according to the conventional radar design principle. Keystone transform can correct range migration without the exact value of target velocity and as a result, the SNR is improved through coherently accumulating all pulses. But the usually used interpolation method has very huge calculation burden. In this paper, a fast range migration compensation method without interpolation based on keystone transform is proposed, which greatly reduce the computational cost, and is more suitable for real-time processing. The simulation results verify its effectiveness.","PeriodicalId":234084,"journal":{"name":"2010 2nd International Conference on Signal Processing Systems","volume":"67 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-07-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128630344","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}
{"title":"Fusion of qualitative beliefs based on linguistic labels","authors":"Jian Gao, Weitai Liang, Jing-Jing Yan","doi":"10.1109/ICSPS.2010.5555552","DOIUrl":"https://doi.org/10.1109/ICSPS.2010.5555552","url":null,"abstract":"In order to model beliefs expressed by natural language, the qualitative belief assignment based on the linguistic labels has been presented in the Dezert-Smarandache Theory (DSmT). However, the combination of qualitative beliefs is only based on the equidistant linguistic labels and the calculation of non-equidistant labels is approximate. To solve the fusion problem of qualitative beliefs denoted by non-equidistant labels, this paper proposed the universal arithmetic operations of linguistic labels, and analyzed the fusion of qualitative beliefs based on the general labels. The new operations which were based on the linear or nonlinear mapping relationship between linguistic labels and numerical values, could be effectively used on 1-tuple or 2-tuple linguistic representation model, and could increase the precision and reliability of the combination of qualitative beliefs or mixed beliefs. The experimental results have proved the validity of universal operations.","PeriodicalId":234084,"journal":{"name":"2010 2nd International Conference on Signal Processing Systems","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-07-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129672501","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}
{"title":"Facial features regions locating method","authors":"Gang Xu, Xue Yuan","doi":"10.1109/ICSPS.2010.5555395","DOIUrl":"https://doi.org/10.1109/ICSPS.2010.5555395","url":null,"abstract":"An approach was proposed an effect way to locate eyes, nose and mouth three feature regions. First of all, using graying color human face images, Sobel edge detection, binarization to distinguish the facial region, and then with the help of prior knowledge of face structure and gray projection method to locate the facial feature regions. Take the size of 100 * 100 color images of human faces as an example, experiments show that this method can accurately locating the key features of human face region in a simple, reliable and practical way.","PeriodicalId":234084,"journal":{"name":"2010 2nd International Conference on Signal Processing Systems","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-07-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127118975","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}
{"title":"Regularized resolution enhancement of point-based features of synthetic aperture radar image using variable quasi-norm","authors":"Guangxin Wang, H. Luo, Zhenrong Zhang","doi":"10.1109/ICSPS.2010.5555543","DOIUrl":"https://doi.org/10.1109/ICSPS.2010.5555543","url":null,"abstract":"Nonquadratic regularization with lp quasi-norm has been widely used as an efficient and powerful tool for resolution enhancement of point-based features of synthetic aperture radar (SAR) images. However, adjustment of the lp quasi-norm usually requires a lot of time and labor. In this paper, we propose a modified model and method for choosing regularization term. Considering the sparseness of scatterers in the scene of a SAR image, we use the generalized Gaussian distributions (GGD) as prior distributions for sampled scattering field. Our regularization model is constructed based on variable lp quasi-norms, and the selection of lp quasi-norm is achieved through estimation of the shape parameter p of the GGD by adopting a moment method. The regularization model leads to an alternating iterative algorithm. Experimental results with simulated and real data show that the method can automatically select regularization term and produce SAR images with improved spatial resolution.","PeriodicalId":234084,"journal":{"name":"2010 2nd International Conference on Signal Processing Systems","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-07-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129994975","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}
{"title":"Improved syndrome-based ordered statistic decoding algorithm for LDPC codes","authors":"Dong Zijian, Liu Fei, Song Yaolian","doi":"10.1109/ICSPS.2010.5555626","DOIUrl":"https://doi.org/10.1109/ICSPS.2010.5555626","url":null,"abstract":"Ordered statistics decoding (OSD) algorithm and syndrome–based decoding algorithm are investigated in this work, based on which, a syndrome-based ordered statistics decoding (SOSD) algorithm for LDPC codes is proposed. The indexed systematic form of parity check matrix is obtained based on the least reliable independent positions (LRIPs) by performing Gaussian eliminations, which promises that the SOSD processing need not the re-encoding process, but only several binary vector additions, therefore achieves noticeable computation complexity reduction.","PeriodicalId":234084,"journal":{"name":"2010 2nd International Conference on Signal Processing Systems","volume":"52 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-07-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130151566","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}