{"title":"Adaptive keyhole SVD method for dynamic MRI reconstruction","authors":"Zhaolin Chen, Jingxin Zhang, K. K. Pang","doi":"10.1109/ISSPA.2005.1580233","DOIUrl":"https://doi.org/10.1109/ISSPA.2005.1580233","url":null,"abstract":"Keyhole Singular Value Decomposition (KSVD) method is known as one of the most commonly used methods for reduced encoding reconstruction of dynamic Magnetic Resonance Imaging (MRI). This paper provides a new enhanced version of this method, called Adaptive KSVD (AKSVD). Instead of original method’s direct duplication of unacquired data from the reference frame, the proposed method uses a temporal model based adaptive scheme to update the unacquired data in following frames, which better captures dynamical changes. The experiment results obtained from the simulated as well as real MRI data show that the proposed AKSVD method can produce images with much lower reconstruction error.","PeriodicalId":385337,"journal":{"name":"Proceedings of the Eighth International Symposium on Signal Processing and Its Applications, 2005.","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2005-08-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122652394","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":"Interference cancellation with Bayesian channel models and application to TDOA/IPDL mobile positioning","authors":"M. Triki, Abdellatif Salah, D. Slock","doi":"10.1109/ISSPA.2005.1580255","DOIUrl":"https://doi.org/10.1109/ISSPA.2005.1580255","url":null,"abstract":"In wireless communications, dealing with multiple access interference is a common problem. Interference, like the signal of interest, is characterized by a transmitted signal and a channel response. In recent years, improved channel estimation techniques have been proposed based on Bayesian channel estimation. The exploitation of priori knowledge such as the power delay profile allows to reduce the effective number of channel parameters. Whereas the direct use of the Bayesian channel estimate for the user of interest may lead to bias problems, its use for an interfering signal allows to better suppress interference. In this paper we introduce the concept of Component-wise Conditionally Unbiased (CCU-) LMMSE channel estimation and consider its application to the problem of TDOA-based mobile positioning in 3G systems exploiting IPDL frames.","PeriodicalId":385337,"journal":{"name":"Proceedings of the Eighth International Symposium on Signal Processing and Its Applications, 2005.","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2005-08-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122687396","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":"Investigations on contrast functions for blind source separation based on non-Gaussianity and sparsity measures","authors":"M. Sahmoudi, K. Abed-Meraim","doi":"10.1109/ISSPA.2005.1580976","DOIUrl":"https://doi.org/10.1109/ISSPA.2005.1580976","url":null,"abstract":"In this paper, we provide a systematic method to construct contrast functions through the use of sub- or super- additive functionals. The used sub- or super-additive functionals are applied to the distributions of the extracted sources to quantify the degree of non-Gaussianity or sparsity. In this work, we assume a completely blind scenario where one knows only the observations and the existence of at most one Gaussian independent component in the mixture. However, there is no a priori information about the mixing matrix nor about the source density. Some practical examples of useful contrast functions are introduced and discussed in order to illustrate the usefulness of the proposed approach.","PeriodicalId":385337,"journal":{"name":"Proceedings of the Eighth International Symposium on Signal Processing and Its Applications, 2005.","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2005-08-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131118809","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}
Yibo Fan, Xiaoyang Zeng, Zhang Zhang, Jun Chen, Qianling Zhang
{"title":"VLSI design of a high-speed RAS crypto-processor with reconfigurable architecture","authors":"Yibo Fan, Xiaoyang Zeng, Zhang Zhang, Jun Chen, Qianling Zhang","doi":"10.1109/ISSPA.2005.1580257","DOIUrl":"https://doi.org/10.1109/ISSPA.2005.1580257","url":null,"abstract":"This paper proposes a novel architecture for highspeed RSA crypto-processor with reconfigurable architecture. Through analysing and comparing between the original algorithms with modified Modular exponentiation and Montgomery multiplication algorithm, a nested pipelined RSA crypto-processor architecture is presented. Based on this architecture, we can easily design a RSA crypto-processor with various speed & key length, it is very flexible to design an encrypt IP core in the SOC platform. As an example, a 1024-bit, 5Mbps RSA cryptoprocessor is implemented. The result shows that the architecture proposed by this paper is practical and efficient.","PeriodicalId":385337,"journal":{"name":"Proceedings of the Eighth International Symposium on Signal Processing and Its Applications, 2005.","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2005-08-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133962357","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 half-frequency domain approach for convolutive blind source separation based on Kullback-Leibler divergence","authors":"T. Mei, F. Yin, J. Xi, A. Mertins, J. Chicharo","doi":"10.1109/ISSPA.2005.1580187","DOIUrl":"https://doi.org/10.1109/ISSPA.2005.1580187","url":null,"abstract":"This paper studies the problem of blind separation of convolutive mixtures by means of Kullback-Leibler divergence in frequency domain. Unlike exiting approaches, an integrated objective function is defined in frequency-domain with time-domain parameters as the variables. The permutation problem is avoided through the frequency-domain integration and time-domain optimization. Simulation results show that the algorithm is valid and of high performance for the separation of real-world recorded convolutive mixtures.","PeriodicalId":385337,"journal":{"name":"Proceedings of the Eighth International Symposium on Signal Processing and Its Applications, 2005.","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2005-08-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133833299","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":"Colored loading for robust adaptive beamforming with low sample support","authors":"Huixia He, S. Kraut","doi":"10.1109/ISSPA.2005.1580279","DOIUrl":"https://doi.org/10.1109/ISSPA.2005.1580279","url":null,"abstract":"Classical robust adaptive beamforming makes use of diagonal loading to prevent high sidelobes and distorted main beams caused by the inaccurate estimation of the covariance ma- trix, signal mismatch and non-stationary interference. This paper develops a general loading technique, called colored loading (CL), by which the estimated covariance matrix is loaded by a scaled version of a Hermitian matrix, usually a Toeplitz matrix for linear equispaced sensors, as opposed to using the identity matrix as in diagonal loading. The colored loading retains the simplicity of implementation of diagonal loading. Numerical examples show that colored loading is superior to diagonal loading in terms of the optimal output signal-to-interference plus noise ratio (SINR), in the snapshot deficient scenario.","PeriodicalId":385337,"journal":{"name":"Proceedings of the Eighth International Symposium on Signal Processing and Its Applications, 2005.","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2005-08-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115614894","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":"Coal seam thickness estimation using GPR and higher order statistics - the near-surface case","authors":"A. Strange, V. Chandran, J. Ralston","doi":"10.1109/ISSPA.2005.1581073","DOIUrl":"https://doi.org/10.1109/ISSPA.2005.1581073","url":null,"abstract":"A novel pattern recognition-based approach to detect near-surface interfaces using ground penetrating radar (GPR) has been reported in [1]. The approach was used to successfully detect interfaces within 5 cm of the ground surface. This technique has been adapted for the important task of layer thickness estimation in the near-surface range. This is inherently a difficult problem to solve in practice because the radar echo is often dominated by unwanted components such as antenna crosstalk and ring-down, ground reflection effects and clutter. Features derived from the bispectrum and a nearest-neighbour classifier have been utilized for this processing task. It is shown that unlike traditional second order correlation based methods such as matched filtering which can fail in known conditions, layer thickness estimation using this approach can be reliably extended to the near-surface region.","PeriodicalId":385337,"journal":{"name":"Proceedings of the Eighth International Symposium on Signal Processing and Its Applications, 2005.","volume":"75 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2005-08-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114701607","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 two-stage reconfigurable image processing system","authors":"Yan-Xiang Deng, C. Hwang, D. Lou","doi":"10.1109/ISSPA.2005.1580259","DOIUrl":"https://doi.org/10.1109/ISSPA.2005.1580259","url":null,"abstract":"Digital image processing needs complex computation that is time-consuming. The computations are computed by software usually, but to speed up the computation is necessary for real-time systems. However, a high performance processor means high cost and hard to implement. To solve the problem, most systems utilize one processor with some digital image co-processors to replace software programming but the disadvantage is inflexibility. If the method of image processing changes then to modify or redesign the hardware is necessary. In this article, a new method based on two-stage reconfigurable computing system (TSRCS) architecture is proposed to achieve a flexible design for image processing system. The TSRCS splits the reconfiguration scheme into two stages and takes advantage of this architecture to recombine any image processing systems. An application is also implemented and successfully verified the adaptability of image processing system based on the TSRCS architecture.","PeriodicalId":385337,"journal":{"name":"Proceedings of the Eighth International Symposium on Signal Processing and Its Applications, 2005.","volume":"82 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2005-08-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114767278","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}
F. Cong, Yifan Hu, Xizhi Shi, Chi Hau Chen, Liangji Lin
{"title":"Blind signal separation and reverberation cancelling with active sonar data","authors":"F. Cong, Yifan Hu, Xizhi Shi, Chi Hau Chen, Liangji Lin","doi":"10.1109/ISSPA.2005.1580990","DOIUrl":"https://doi.org/10.1109/ISSPA.2005.1580990","url":null,"abstract":"With easily available prior knowledge, we explore a new approach for nulling of reverberation through separating active sonar data into reverberation and moving target echo. From the perspective of signal processing, the method, as outlined below, is based on active sonar data properties and the process of how reverberation is formulated. It is assumed that active sonar data can be separated into two parts that are target echo signal and reverberation. First, we generate a backward matrix from active sonar data to approximate the classical blind signal separation model. Second, after blind signal separation is performed on the backward matrix, separation is done. Third, the estimated signal with the largest kurtosis is selected as the desired target echo signal and the reverberation is cancelled at the same time. Fourth, the human hearing feature helps the process to be adaptive. The real sea experiment proves the method to be effective.","PeriodicalId":385337,"journal":{"name":"Proceedings of the Eighth International Symposium on Signal Processing and Its Applications, 2005.","volume":"88 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2005-08-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117277268","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":"Analysis of optimal search ing interval for estimation of amplitude modifications in quantization-based audio watermark detection","authors":"Siho Kim, Keun-Sung Bae","doi":"10.1109/ISSPA.2005.1580207","DOIUrl":"https://doi.org/10.1109/ISSPA.2005.1580207","url":null,"abstract":"Quantization-based watermarking schemes such as SCS and QIM are known to be very vulnerable to the amplitude modification attack. Thus accurate estimation of the amplitude modification, i.e., estimation of a modified quantization step size is required before watermark detection. In this paper, we propose a robust algorithm to estimate the modified quantization step size with an optimal search interval. The optimal search interval that considers both detection performance and computational complexity is derived analytically. Experimental results for real audio data show that the derived optimal search interval provides the accurate estimation of the modified quantization step size under amplitude modification attack.","PeriodicalId":385337,"journal":{"name":"Proceedings of the Eighth International Symposium on Signal Processing and Its Applications, 2005.","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2005-08-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115789060","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}