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Seventh International Symposium on Signal Processing and Its Applications, 2003. Proceedings.最新文献

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A new efficient PNLMS based algorithm for adaptive line echo cancellation 一种新的基于PNLMS的自适应线回波消除算法
Seventh International Symposium on Signal Processing and Its Applications, 2003. Proceedings. Pub Date : 2003-07-01 DOI: 10.1109/ISSPA.2003.1224937
A. Maleki, K. Nayebi
{"title":"A new efficient PNLMS based algorithm for adaptive line echo cancellation","authors":"A. Maleki, K. Nayebi","doi":"10.1109/ISSPA.2003.1224937","DOIUrl":"https://doi.org/10.1109/ISSPA.2003.1224937","url":null,"abstract":"Echo cancellers with long impulse responses are usually used in networks with long echoes. Since long adaptive filters with sparse target filters usually converge very slowly, adaptation algorithms with fast convergence rate are needed. PNLMS is one of the algorithms that is designed for fast convergence on sparse impulse responses. But there are some disadvantages to this algorithm. The computational complexity of this algorithm is prohibitive, especially for long echo tails. Another disadvantage is that its convergence rate slows down significantly after the adaptation of large taps. In this paper we propose new algorithms to solve both these problems. In another part of this paper, we present a modified PNLMS algorithm with better computational and convergence characteristics. Proposed algorithms show a better performance than PNLMS both in convergence rate and computational complexity.","PeriodicalId":264814,"journal":{"name":"Seventh International Symposium on Signal Processing and Its Applications, 2003. Proceedings.","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2003-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130571693","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: 5
Analysis of quantization watermarking in the wavelet transform domain 小波变换域的量化水印分析
Seventh International Symposium on Signal Processing and Its Applications, 2003. Proceedings. Pub Date : 2003-07-01 DOI: 10.1109/ISSPA.2003.1224892
M. Ashourian, Yo-Sung Ho
{"title":"Analysis of quantization watermarking in the wavelet transform domain","authors":"M. Ashourian, Yo-Sung Ho","doi":"10.1109/ISSPA.2003.1224892","DOIUrl":"https://doi.org/10.1109/ISSPA.2003.1224892","url":null,"abstract":"Quantization watermarking is a method of embedding hidden copyright information based on dithered quantization. Such a scheme is only practical for watermarking applications, where the original signal is available to the detector as for a fingerprinting purpose. The aim of this paper is to analyze the quantization watermarking in the wavelet transform or equivalently in filter bank domain. We involve the nonlinear effect of dithered quantization in the filter bank analysis using the time-domain formulation of the filter bank. We derive a general and compact form for distortion in the host image due to the encoding and embedding process. The formulation can be simplified and optimized for different filter banks and dither signals. We provide some supporting experiments for the analysis.","PeriodicalId":264814,"journal":{"name":"Seventh International Symposium on Signal Processing and Its Applications, 2003. Proceedings.","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2003-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130599464","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
Hybrid learning methods for vector quantization and its to image compression 矢量量化的混合学习方法及其在图像压缩中的应用
Seventh International Symposium on Signal Processing and Its Applications, 2003. Proceedings. Pub Date : 2003-07-01 DOI: 10.1109/ISSPA.2003.1224859
Noritaka Shigei, H. Miyajima, M. Maeda, S. Fukumoto
{"title":"Hybrid learning methods for vector quantization and its to image compression","authors":"Noritaka Shigei, H. Miyajima, M. Maeda, S. Fukumoto","doi":"10.1109/ISSPA.2003.1224859","DOIUrl":"https://doi.org/10.1109/ISSPA.2003.1224859","url":null,"abstract":"Neural networks for vector quantization such as K-means, neural-gas (NG) network and Kohonen's self-organizing map (SOM) is proposed. K-means, which is a \"hard-max\" approach, converges very fast, but it easily falls into local minima. On the other hand, the NG and SOM methods, which are \"soft-max\" approaches, are good at the global search ability. Though NG and SOM exhibit better performance in coming close to the optimum than K-means, they converge slower than K-means. In order to the drawbacks that exist when K-means, NG and SOM are used individually, we have developed hybrid methods such as NG-K and SOM-K. This paper investigates the effectiveness of NG- K and SOM-K in an image compression application. Our simulation results show that NG-K and SOM-K have good scalability to the number of weight vectors.","PeriodicalId":264814,"journal":{"name":"Seventh International Symposium on Signal Processing and Its Applications, 2003. Proceedings.","volume":"82 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2003-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128720446","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 brief discussion on moderatism based local gradient learning rules 浅谈基于适度主义的局部梯度学习规则
Seventh International Symposium on Signal Processing and Its Applications, 2003. Proceedings. Pub Date : 2003-07-01 DOI: 10.1109/ISSPA.2003.1224858
M. T. Islam, Y. Okabe
{"title":"A brief discussion on moderatism based local gradient learning rules","authors":"M. T. Islam, Y. Okabe","doi":"10.1109/ISSPA.2003.1224858","DOIUrl":"https://doi.org/10.1109/ISSPA.2003.1224858","url":null,"abstract":"Moderatism [Y. Okabe et al., 1988], which is a learning rule for ANNs, is based on the principle that individual neurons and neural nets as a whole try to sustain a \"moderate\" level in their input and output signals. In this way, a close mutual relationship with the outside environment is maintained. In this paper, two potential moderatism-based local, gradient learning rules are proposed. Then, a pattern learning experiment is performed to compare the learning performances of these two learning rules, the error based weight update (EBWU) rule [Tanvir Islam, M et al., December 2001][Tanvir Islam, M et al., September 2001], and error backpropagation [Bishop, CM et al., 1995].","PeriodicalId":264814,"journal":{"name":"Seventh International Symposium on Signal Processing and Its Applications, 2003. Proceedings.","volume":"79 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2003-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120885892","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
A stochastic method for training based channel identification 一种基于训练的随机信道识别方法
Seventh International Symposium on Signal Processing and Its Applications, 2003. Proceedings. Pub Date : 2003-07-01 DOI: 10.1109/ISSPA.2003.1224789
O. Rousseaux, G. Leus, P. Stoica, M. Moonen
{"title":"A stochastic method for training based channel identification","authors":"O. Rousseaux, G. Leus, P. Stoica, M. Moonen","doi":"10.1109/ISSPA.2003.1224789","DOIUrl":"https://doi.org/10.1109/ISSPA.2003.1224789","url":null,"abstract":"In this paper, we propose a new iterative stochastic method to identify convolutive channels when training sequences are inserted in the transmitted signal. We consider the case where the channel is quasistatic (i.e. the sampling period is several orders of magnitude below the coherence time of the channel). There are no requirements on the length of the training sequences and all the received symbols that contain contributions from the training symbols are exploited. The interference from the unknown data symbols surrounding the training sequences is considered as additive noise colored by the transmission channel. An iterative weighted least squares approach is used to filter out the contribution of both this interference term and the additive white gaussian noise term.","PeriodicalId":264814,"journal":{"name":"Seventh International Symposium on Signal Processing and Its Applications, 2003. Proceedings.","volume":"75 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2003-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125990022","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
Knowledge based fuzzy information fusion applied to classification of abnormal brain tissues from MRI 基于知识的模糊信息融合在MRI异常脑组织分类中的应用
Seventh International Symposium on Signal Processing and Its Applications, 2003. Proceedings. Pub Date : 2003-07-01 DOI: 10.1109/ISSPA.2003.1224795
W. Dou, S. Ruan, Q. Liao, D. Bloyet, J. Constans
{"title":"Knowledge based fuzzy information fusion applied to classification of abnormal brain tissues from MRI","authors":"W. Dou, S. Ruan, Q. Liao, D. Bloyet, J. Constans","doi":"10.1109/ISSPA.2003.1224795","DOIUrl":"https://doi.org/10.1109/ISSPA.2003.1224795","url":null,"abstract":"A fuzzy information fusion method is proposed in this paper. It can automatically classify abnormal tissues in human brain in a three dimension space from multispectral magnetic resonance images such as T1-weighted, T2-weighted and proton density feature images. It consists of four steps: data matching, information modelling, information fusion and fuzzy classification. Several fuzzy set definitions are proposed to describe the specific observation universal. The fuzzy information models of tumor area in human brain and the particular fuzzy relations that contribute to information fusion and classification are also established. Three MR image sequences of a patient are utilized as an example to show the method performances. The results are appreciated by experts in radiology.","PeriodicalId":264814,"journal":{"name":"Seventh International Symposium on Signal Processing and Its Applications, 2003. Proceedings.","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2003-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128933350","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
Sub-pixel motion estimation using gradient cross-correlation 基于梯度互相关的亚像素运动估计
Seventh International Symposium on Signal Processing and Its Applications, 2003. Proceedings. Pub Date : 2003-07-01 DOI: 10.1109/ISSPA.2003.1224852
V. Argyriou, T. Vlachos
{"title":"Sub-pixel motion estimation using gradient cross-correlation","authors":"V. Argyriou, T. Vlachos","doi":"10.1109/ISSPA.2003.1224852","DOIUrl":"https://doi.org/10.1109/ISSPA.2003.1224852","url":null,"abstract":"A highly accurate and computationally efficient method is presented suitable for the estimation of motion in video sequences. The method is based on the maximisation of the spatial gradient cross-correlation function, which is computed in the frequency domain and therefore is implemented by fast transformation algorithms. By taking into full consideration gradient magnitude and phase, the selection of salient and reliable image features is promoted and the resulting accuracy of motion estimation enhanced. The proposed method outperforms established competing frequency-domain motion estimation methods, most notably phase correlation, in terms of sub-pixel accuracy for a range of test material and motion scenarios. Our results also show that our method is considerably more immune to the presence of manually induced additive Gaussian noise.","PeriodicalId":264814,"journal":{"name":"Seventh International Symposium on Signal Processing and Its Applications, 2003. Proceedings.","volume":"50 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2003-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129064251","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: 17
Dynamic predictions of tracked gaze 跟踪注视的动态预测
Seventh International Symposium on Signal Processing and Its Applications, 2003. Proceedings. Pub Date : 2003-07-01 DOI: 10.1109/ISSPA.2003.1224686
E. Barth, Jan Drewes, T. Martinetz
{"title":"Dynamic predictions of tracked gaze","authors":"E. Barth, Jan Drewes, T. Martinetz","doi":"10.1109/ISSPA.2003.1224686","DOIUrl":"https://doi.org/10.1109/ISSPA.2003.1224686","url":null,"abstract":"We present a model for predicting the eye-movements of observers who is viewing dynamic sequences of images. As an indicator for the degree of saliency we evaluate an invariant of the spatio-temporal structure tensor that indicates an intrinsic dimension of at least two. The saliency is used to derive a list of candidate locations. Out of this list, the currently attended location is selected according to a mapping found by supervised learning. The true locations used for learning are obtained with an eye-tracker. In addition to the saliency-based candidates, the selection algorithm uses a limited history of locations attended in the past. The mapping is linear and can thus be quickly adapted to the individual observer. The mapping is optimal in the sense that it is obtained by minimizing, by gradient descent, the overall quadratic difference between the predicted and the actually attended location.","PeriodicalId":264814,"journal":{"name":"Seventh International Symposium on Signal Processing and Its Applications, 2003. Proceedings.","volume":"85 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2003-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131180541","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 image distortion measure based on wavelet decomposition 一种基于小波分解的图像失真测量方法
Seventh International Symposium on Signal Processing and Its Applications, 2003. Proceedings. Pub Date : 2003-07-01 DOI: 10.1109/ISSPA.2003.1224745
Azeddine Beghdadi, B. Pesquet-Popescu
{"title":"A new image distortion measure based on wavelet decomposition","authors":"Azeddine Beghdadi, B. Pesquet-Popescu","doi":"10.1109/ISSPA.2003.1224745","DOIUrl":"https://doi.org/10.1109/ISSPA.2003.1224745","url":null,"abstract":"This paper introduces a novel image distortion measure based on a nonredundant wavelet decomposition. The proposed image quality measure is compared with the PSNR and a previously introduced Wigner-Ville distribution-based measure on some real images and simulated degradations. The obtained results are assessed on the basis of consistency with the subjective quality assessment and the complexity of the measure.","PeriodicalId":264814,"journal":{"name":"Seventh International Symposium on Signal Processing and Its Applications, 2003. Proceedings.","volume":"52 11","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2003-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132389267","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: 72
A power-scalable motion estimation coprocessor for energy constrained applications 一种功率可扩展的运动估计协处理器，用于能量受限的应用
Seventh International Symposium on Signal Processing and Its Applications, 2003. Proceedings. Pub Date : 2003-07-01 DOI: 10.1109/ISSPA.2003.1224949
M. Martina, A. Molino, F. Quaglio, F. Vacca
{"title":"A power-scalable motion estimation coprocessor for energy constrained applications","authors":"M. Martina, A. Molino, F. Quaglio, F. Vacca","doi":"10.1109/ISSPA.2003.1224949","DOIUrl":"https://doi.org/10.1109/ISSPA.2003.1224949","url":null,"abstract":"Due to wireless market explosion it is forecastable that in a near future, mobile terminals will deploy voice as well as true multimedia services. This paper proposes a power-scalable architecture for hybrid video coding, suitable for mobile environments. The complete FPGA design flow shows very interesting performances both in terms of throughput and power consumption.","PeriodicalId":264814,"journal":{"name":"Seventh International Symposium on Signal Processing and Its Applications, 2003. Proceedings.","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2003-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134554187","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
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