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6th International Conference on Signal Processing, 2002.最新文献

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Statistical analysis of signal-to-noise ratios in fringe pattern matching 条纹模式匹配中信噪比的统计分析
6th International Conference on Signal Processing, 2002. Pub Date : 2002-08-26 DOI: 10.1109/ICOSP.2002.1181136
T.D. Pham, Z. Wang, M. Yang, M. Packianather
{"title":"Statistical analysis of signal-to-noise ratios in fringe pattern matching","authors":"T.D. Pham, Z. Wang, M. Yang, M. Packianather","doi":"10.1109/ICOSP.2002.1181136","DOIUrl":"https://doi.org/10.1109/ICOSP.2002.1181136","url":null,"abstract":"The paper presents a statistical analysis of signal-to-noise ratios (SNRs) in fringe pattern matching. It shows theoretically that the SNR of interference fringes can be significantly improved by fringe pattern matching or mean square difference calculation based on statistical analysis. Computer simulation and experimental results have confirmed that the high accuracy of fringe pattern matching is due to the significant SNR improvements achieved.","PeriodicalId":159807,"journal":{"name":"6th International Conference on Signal Processing, 2002.","volume":"59 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2002-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125316401","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
Passive location algorithm of two sensors based on multihypothesis extended Kalman filter 基于多假设扩展卡尔曼滤波的双传感器无源定位算法
6th International Conference on Signal Processing, 2002. Pub Date : 2002-08-26 DOI: 10.1109/ICOSP.2002.1180057
Xiu Jianjuan, He You, Xiu Jianhua, Wang Guohong
{"title":"Passive location algorithm of two sensors based on multihypothesis extended Kalman filter","authors":"Xiu Jianjuan, He You, Xiu Jianhua, Wang Guohong","doi":"10.1109/ICOSP.2002.1180057","DOIUrl":"https://doi.org/10.1109/ICOSP.2002.1180057","url":null,"abstract":"Multitarget tracking with bearings only measurements of two passive sensors is a very important problem, which has not been solved. To counter this problem a method is proposed in this paper, This method firstly used the bearing measurements of two passive sensors to estimate the initial range interval of targets, which are divided into several subintervals. At each subinterval an extended Kalman filter and a multihypothesis method are used to estimate the state of targets. At the same time the bearing measurements are associated. Combined state estimate is obtained as weighted sums of the state estimate of each subinterval. Simulation results show that through using the algorithm discussed in this paper two passive sensors can locate and track multiple targets at the same time.","PeriodicalId":159807,"journal":{"name":"6th International Conference on Signal Processing, 2002.","volume":"93 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2002-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115539833","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
Improvement of brain lesions detection using information fusion approach 信息融合方法在脑损伤检测中的应用
6th International Conference on Signal Processing, 2002. Pub Date : 2002-08-26 DOI: 10.1109/ICOSP.2002.1179982
M. Ganna, M. Rombaut, R. Goutte, Yuemin Zhu
{"title":"Improvement of brain lesions detection using information fusion approach","authors":"M. Ganna, M. Rombaut, R. Goutte, Yuemin Zhu","doi":"10.1109/ICOSP.2002.1179982","DOIUrl":"https://doi.org/10.1109/ICOSP.2002.1179982","url":null,"abstract":"Automatic segmentation of brain lesions, such as multiple sclerosis in MRI images, is a complex operation. One of the main difficulties is to optimize the dilemma between the false positives and false negatives present in the segmented image. We propose here a new approach to this problem. The idea is to exploit the complementary results from different segmentation algorithms as well as a priori knowledge to reduce false positives. The method starts with modeling inaccuracy about the borders of the segmented regions. The logic rules are then defined in order to combine the white matter image and lesions within the framework of evidence theory. The results show that brain lesion detection is substantially improved using this data fusion approach.","PeriodicalId":159807,"journal":{"name":"6th International Conference on Signal Processing, 2002.","volume":"58 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2002-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114568404","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: 7
Non-rigid object segmentation in video sequences using Markov random field 基于马尔可夫随机场的视频序列非刚性目标分割
6th International Conference on Signal Processing, 2002. Pub Date : 2002-08-26 DOI: 10.1109/ICOSP.2002.1181133
C. Jung, J. Kim
{"title":"Non-rigid object segmentation in video sequences using Markov random field","authors":"C. Jung, J. Kim","doi":"10.1109/ICOSP.2002.1181133","DOIUrl":"https://doi.org/10.1109/ICOSP.2002.1181133","url":null,"abstract":"The paper presents a spatio-temporal segmentation algorithm for non-rigid objects in image sequences. We use random and unpredictable characteristics of non-rigid objects in the algorithm. The algorithm consists of three steps: spatial segmentation by MRF (Markov random field) modeling, temporal segmentation by velocity vector, and the fusion of spatial and temporal segmentation. The presented algorithm has good performance in the segmentation of a non-rigid object with large deformable rate. It can be used as an effective non-rigid object segmentation algorithm for automatic VOP (video object plane) generation. We have demonstrated the efficiency of the presented method through experimental results.","PeriodicalId":159807,"journal":{"name":"6th International Conference on Signal Processing, 2002.","volume":"39 3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2002-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117316781","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
Space time joint processing for time slotted CDMA uplink 时隙CDMA上行链路的时空联合处理
6th International Conference on Signal Processing, 2002. Pub Date : 2002-08-26 DOI: 10.1109/ICOSP.2002.1180031
Ying Min Wang, Hongxin Tian, K. Yi
{"title":"Space time joint processing for time slotted CDMA uplink","authors":"Ying Min Wang, Hongxin Tian, K. Yi","doi":"10.1109/ICOSP.2002.1180031","DOIUrl":"https://doi.org/10.1109/ICOSP.2002.1180031","url":null,"abstract":"In CDMA cellular mobile radio systems, the transmission quality and the system performance is mainly determined by the interference both from intracell and intercell. Joint detection (JD) and smart antenna (SA) are effective techniques which can be used to combat these interference. For the uplink of a time slotted CDMA system, most of the intracell interference can be eliminated by using joint detection with coherent receiver antenna diversity. So, the intercell interference plays the most important role on the system performance. In this paper, space time joint processing schemes for time slotted CDMA uplink are investigated. First, JD algorithms with coherent receiver antenna diversity (CRAD) are given. Then, some algorithms for estimating the intercell interference covariance matrix are studied, and a novel partition algorithm is proposed. Simulation results show that these algorithms can lead to considerable performance enhancement.","PeriodicalId":159807,"journal":{"name":"6th International Conference on Signal Processing, 2002.","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2002-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128509638","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 new estimation algorithm for AR signals measured in noise 一种新的噪声条件下AR信号估计算法
6th International Conference on Signal Processing, 2002. Pub Date : 2002-08-26 DOI: 10.1109/ICOSP.2002.1181021
W. Zheng
{"title":"A new estimation algorithm for AR signals measured in noise","authors":"W. Zheng","doi":"10.1109/ICOSP.2002.1181021","DOIUrl":"https://doi.org/10.1109/ICOSP.2002.1181021","url":null,"abstract":"Albeit several least-squares (LS) based methods have been developed for noisy autoregressive (AR) signal identification, none is \"in closed form\", in that an iterative procedure is needed for estimating the AR parameters and the measurement noise variance alternately. A new formulation with respect to the measurement noise variance is presented, leading to the development of a new estimation algorithm for noisy AR signals. In addition to the eminent algorithmic difference from its predecessors, the developed algorithm achieves a better estimation accuracy while requiring an almost identical amount of computation.","PeriodicalId":159807,"journal":{"name":"6th International Conference on Signal Processing, 2002.","volume":"31 2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2002-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128657034","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: 6
Automatic multisensor image registration using wavelet transform 基于小波变换的多传感器图像自动配准
6th International Conference on Signal Processing, 2002. Pub Date : 2002-08-26 DOI: 10.1109/ICOSP.2002.1181131
Yu Qiuze, Tian Jinwen, Liu Jian
{"title":"Automatic multisensor image registration using wavelet transform","authors":"Yu Qiuze, Tian Jinwen, Liu Jian","doi":"10.1109/ICOSP.2002.1181131","DOIUrl":"https://doi.org/10.1109/ICOSP.2002.1181131","url":null,"abstract":"A new method of automatic multisensor image registration based on contour description and contour matching is proposed. It first employs wavelet descriptor moments to represent the contour. Second, a contour matching criteria is presented based on a principle of minimum distance classifier; algorithms of contour matching are given according to closed and unclosed contours. Finally, control points are located according. to matched contours, and consistency checking is employed to remove mismatched control points. The image transformation model and parameter estimation using the rule of least root mean-square error (RMSE) are discussed. The method is accurate, robust and fast, and has been tested on many images. Two experimental results are presented.","PeriodicalId":159807,"journal":{"name":"6th International Conference on Signal Processing, 2002.","volume":"67 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2002-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124549161","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: 3
Detection and estimation of moving targets based on fractional Fourier transform 基于分数阶傅里叶变换的运动目标检测与估计
6th International Conference on Signal Processing, 2002. Pub Date : 2002-08-26 DOI: 10.1109/ICOSP.2002.1180995
Tao Ran, Ping Xianjun, Zhao Xinghao, Wang Yue
{"title":"Detection and estimation of moving targets based on fractional Fourier transform","authors":"Tao Ran, Ping Xianjun, Zhao Xinghao, Wang Yue","doi":"10.1109/ICOSP.2002.1180995","DOIUrl":"https://doi.org/10.1109/ICOSP.2002.1180995","url":null,"abstract":"The key part of classical MTD is the filter bank based on FFT. Generally, a moving target moves in the way of segment constant acceleration. Thus, its echo can be approximately regarded as a chirp signal, which is a typical nonstationary signal. The traditional Fourier transform cannot handle chirp signals. Therefore, time frequency analysis is a more appropriate method than FFT in such an application. Furthermore, WVD have the best time frequency centralization performance among all the time frequency distributions. Instead of FFT, we can employ WVD to analyze the echo of moving targets. WVD for multiple chirp signals, however, produces inevitably some cross terms, which lead to the appearance of false targets. A method of radar moving target detection and estimation based on the fractional Fourier transform is proposed in this paper. Compared with the MTD based on WVD, the MTD based on FRFT need not consider the cross-term interference in the case of multi moving targets, and therefore reduces the computation burden, simplifies the processing procedure and improves the performance of detection. The experiment results verify validity of the method.","PeriodicalId":159807,"journal":{"name":"6th International Conference on Signal Processing, 2002.","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2002-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129207452","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
A new method for obstacle detection in ITS ITS中障碍物检测的新方法
6th International Conference on Signal Processing, 2002. Pub Date : 2002-08-26 DOI: 10.1109/ICOSP.2002.1180145
G. Jiang, Mei Yu, Sai-Long He, Shoudong Shi, Xiao Liu
{"title":"A new method for obstacle detection in ITS","authors":"G. Jiang, Mei Yu, Sai-Long He, Shoudong Shi, Xiao Liu","doi":"10.1109/ICOSP.2002.1180145","DOIUrl":"https://doi.org/10.1109/ICOSP.2002.1180145","url":null,"abstract":"In a 2D road image, vertical edges of a vehicle still keep vertical and do not converge, therefore obstacle detection can be performed in the 2D image plane. With the help of the detected lane structure, two obstacle detection schemes are given. One uses edge detection and binary rank order filtering (BROF) techniques for the cases of normal luminance, the other utilizes weighted mean filter and region identification to detect regions of vehicle tail lights in the evening or at night. Experimental analyses are. given, and longitudinal distance of a vehicle is obtained.","PeriodicalId":159807,"journal":{"name":"6th International Conference on Signal Processing, 2002.","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2002-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124137106","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
A speaker identification system with verification method based on speaker relative threshold and HMM 一种基于说话人相对阈值和HMM的说话人识别系统
6th International Conference on Signal Processing, 2002. Pub Date : 2002-08-26 DOI: 10.1109/ICOSP.2002.1181099
Zhiyuan He, Qixiu Hu
{"title":"A speaker identification system with verification method based on speaker relative threshold and HMM","authors":"Zhiyuan He, Qixiu Hu","doi":"10.1109/ICOSP.2002.1181099","DOIUrl":"https://doi.org/10.1109/ICOSP.2002.1181099","url":null,"abstract":"This paper presents a speaker identification system with speaker verification method. Compared with usual speaker identification systems, it requires much less speech data but still maintains high performance. In the implementation of this speaker identification system, we introduced several approaches to improve the effect of speech segmentation and used a speaker verification method based on a common codebook, HMM and speaker relative threshold (SRTHD). A novel method of integrating the speaker identification with the face recognition to verify a person's identity is also presented. It has been proved that this method is efficient to reduce the equal error rate of recognition.","PeriodicalId":159807,"journal":{"name":"6th International Conference on Signal Processing, 2002.","volume":"265 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2002-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121154750","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: 6
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