{"title":"Complexity reduced blind multichannel equalization","authors":"H. Gazzah","doi":"10.5281/ZENODO.38195","DOIUrl":"https://doi.org/10.5281/ZENODO.38195","url":null,"abstract":"Recently, an algorithm for blind (without training sequence) and direct (without prior estimation of the channel response) estimation of (all) Zero-Forcing (ZF) equalizers of a Single Input Multiple Output (SIMO) channel has been proposed. These span a linear subspace, making it necessary to introduce a criterion to select the best equalizer within the so-estimated subspace. This selection step increases considerably the algorithm complexity. We propose two modifications to the algorithm that achieve the same (asymptotic) equalization performances at a reduced complexity.","PeriodicalId":347658,"journal":{"name":"2004 12th European Signal Processing Conference","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2004-09-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131663696","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 comparative study of different modes of perturbation for video watermarking based on motion vectors","authors":"B. Yann, N. Laurent, J. Dugelay","doi":"10.5281/ZENODO.38645","DOIUrl":"https://doi.org/10.5281/ZENODO.38645","url":null,"abstract":"In this paper, we study the robustness of different grid types used for the embedding rules described in a previous work [1]. In this algorithm, we embed a mark in the uncompressed domain by disturbing slightly the motion vectors computed by an exhaustive BMA on blocks of size N*N. The embedding rule is based on a reference grid that allows to slightly displace the marked vectors in a neighborhood of there original marked position without missing the watermarking information. The grid tested are a square, a circular and an angular one. To increase the robustness, we embed the mark by generating a hierarchy of motion vectors to spread the mark on the lower level associated to block N*N with N=k*n.","PeriodicalId":347658,"journal":{"name":"2004 12th European Signal Processing Conference","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2004-09-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114879390","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":"Noise reduction for chaotic signals based on new approach of measuring the signal determinacy","authors":"J. Xi, Zheng Lin, Zongkai Yang, J. Chicharo","doi":"10.5281/ZENODO.38334","DOIUrl":"https://doi.org/10.5281/ZENODO.38334","url":null,"abstract":"Noise reduction for noisy chaotic signals in real world situations is a challenging problem due to the lack of an effective way to measure the noise reduction performance. In this paper a new method for measuring the determinacy of chaotic signals based on the local correlation property of the chaotic dynamic system. The proposed method can be used to yield an improved local-projection algorithm. Numerical results are provided to show the efficiency of the new method.","PeriodicalId":347658,"journal":{"name":"2004 12th European Signal Processing Conference","volume":"74 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2004-09-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116347483","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":"Auralization of room acoustics by Wave Field Synthesis based on array measurements of impulse responses","authors":"D. Vries, E. Hulsebos","doi":"10.5281/ZENODO.38537","DOIUrl":"https://doi.org/10.5281/ZENODO.38537","url":null,"abstract":"Wave Field Synthesis (WFS) enables correct spatial reproduction of acoustic events for larger groups of people. Such events often include acoustic information of the recording space which is then “auralized” after convolution with the sound sources. The acoustic information is acquired by measuring impulse responses. Spatial information is only obtained when the responses are measured along arrays (e.g., linear or circular) of microphone positions. In the presentation it will be explained how the measured datasets are parameterized and processed to be reproduced in the most efficient way: significant data reduction is possible due to the limited ability of the human hearing system to discriminate temporal and spatial details.","PeriodicalId":347658,"journal":{"name":"2004 12th European Signal Processing Conference","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2004-09-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124623934","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":"Data embedding in speech signals using perceptual masking","authors":"Ariel Sagi, D. Malah","doi":"10.5281/ZENODO.38653","DOIUrl":"https://doi.org/10.5281/ZENODO.38653","url":null,"abstract":"In this paper, a data embedding technique for speech signals, exploiting the masking property of the human auditory system, is presented. The signal in the frequency domain is partitioned into subbands. The data embedding parameters of each subband are computed from the auditory masking threshold function and a channel noise estimate. Data embedding is performed by modifying the Discrete Hartley Transform (DHT) coefficients according to the principles of the Scalar Costa Scheme (SCS). A maximum likelihood detector is employed in the decoder for embedded-data presence detection and data-embedding quantization-step estimation. We demonstrate the proposed data embedding technique by simulation of data embedding in a speech signal transmitted over a telephone line. The demonstrated system achieves transparent data-embedding at the rate of 300 information bits/second with a bit-error-rate of approximately 10-4. The proposed technique outperforms spread spectrum (SS) based data-embedding techniques for speech signals.","PeriodicalId":347658,"journal":{"name":"2004 12th European Signal Processing Conference","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2004-09-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129771222","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":"Monte Carlo methods for signal processing: Recent advances","authors":"P. Djurić","doi":"10.5281/ZENODO.38710","DOIUrl":"https://doi.org/10.5281/ZENODO.38710","url":null,"abstract":"In many areas of signal processing, the trend of addressing problems with increased complexity continues. This is best reflected by the forms of the models used for describing phenomena of interest. Typically, in these models the number of unknowns that have to be estimated is large and the assumptions about noise distributions are often non-tractable for analytical derivations. One major reason that allows researchers to resolve such difficult problems and delve into uncharted territories is the advancement of methods based on Monte Carlo simulations including Markov chain Monte Carlo sampling and particle filtering. In this paper, the objective is to provide a brief review of the basics of these methods and then elaborate on the most recent advances in the field.","PeriodicalId":347658,"journal":{"name":"2004 12th European Signal Processing Conference","volume":"83 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2004-09-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128169382","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":"Multimodal biometrics: An overview","authors":"A. Ross, Anil K. Jain","doi":"10.5281/ZENODO.38715","DOIUrl":"https://doi.org/10.5281/ZENODO.38715","url":null,"abstract":"Unimodal biometric systems have to contend with a variety of problems such as noisy data, intra-class variations, restricted degrees of freedom, non-universality, spoof attacks, and unacceptable error rates. Some of these limitations can be addressed by deploying multimodal biometric systems that integrate the evidence presented by multiple sources of information. This paper discusses the various scenarios that are possible in multimodal biometric systems, the levels of fusion that are plausible and the integration strategies that can be adopted to consolidate information. We also present several examples of multimodal systems that have been described in the literature.","PeriodicalId":347658,"journal":{"name":"2004 12th European Signal Processing Conference","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2004-09-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129782094","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":"An efficient low complexity clustering-based MLSE equalizer for frequency-selective fading channels","authors":"Y. Kopsinis, S. Theodoridis, Eleftherios Kofidis","doi":"10.5281/ZENODO.38601","DOIUrl":"https://doi.org/10.5281/ZENODO.38601","url":null,"abstract":"Recently, a sequence equalizer, the 1-D CBSE equalizer, which belongs to the family of Cluster-Based Sequence Equalizers and achieves the Maximum Likelihood solution to the equalization problem, was reported. The 1-D CBSE does not require the explicit estimation of the channel impulse response. Instead, it utilizes the estimates of the cluster centers formed by the received observations. In this paper, a novel cluster tracking scheme is presented which allows the application of the 1-D CBSE in time-varying transmission environments. Although the proposed equalizer exhibits similar performance with that of the classic MLSE-LMS equalizer, the overall required computational load is dramatically reduced. This is achieved because the new method provides the means for an efficient exploitation of the symmetries underlying the signaling scheme.","PeriodicalId":347658,"journal":{"name":"2004 12th European Signal Processing Conference","volume":"32 2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2004-09-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127179833","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}
N. Bozinovic, J. Konrad, Thomas André, M. Antonini, M. Barlaud
{"title":"Motion-compensated lifted wavelet video coding: Toward optimal motion/transform configuration","authors":"N. Bozinovic, J. Konrad, Thomas André, M. Antonini, M. Barlaud","doi":"10.5281/ZENODO.38449","DOIUrl":"https://doi.org/10.5281/ZENODO.38449","url":null,"abstract":"Various coding schemes based on lifting implementation of the discrete wavelet transform applied along motion trajectories have recently gained a lot of interest in video processing community as strong candidates to succeed current state-of-the-art hybrid coders. Still, there are a number of very important issues, including the choice of particular wavelet transform and motion model, that have significant impact on the overall coding performance and will determine usefulness of this class of coders. In this paper, we classify and discuss different motion/transform configurations that are being used in motion-compensated lifting-based wavelet transforms. Our results show that coder performance changes significantly for different combinations of motion models and transforms used.","PeriodicalId":347658,"journal":{"name":"2004 12th European Signal Processing Conference","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2004-09-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132430181","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":"Capacity analysis of periodical watermarking","authors":"E. Topak, S. Voloshynovskiy, O. Koval, T. Pun","doi":"10.5281/ZENODO.38287","DOIUrl":"https://doi.org/10.5281/ZENODO.38287","url":null,"abstract":"Periodical watermark embedding has been especially proposed to cope with geometrical attacks. Using a diversity approach, this method allows to decrease the probability of error in the case of additive attacks. It is usually admitted that the worst additive attack consists in the addition of additive white Gaussian noise (AWGN). However, our theoretical capacity analysis of periodical watermarking demonstrates that periodical AWGN in the optimal attacking strategy leads to more significant drop of the capacity than AWGN test channel from rate distortion.","PeriodicalId":347658,"journal":{"name":"2004 12th European Signal Processing Conference","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2004-09-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130220665","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}