This paper considers the application of ΜΛ cumulant enhancement to the identification of the parameters of a causal nonminimum phase ARMA(p, q) system which is excited by an unobservable independent identically distributed (IID) non-Gaussian process. The method proposed in this paper is based on the double MA method of [l]. The cumulant enhancement is used to improve the cumulante of the two intermediate MA models which result from the decomposition of the original ARMA(p, q) model. Simulation results are presented to demonstrate the effects of cumulant enhancement on the estimated ARMA parameters.
{"title":"ARMA parameter estimation through enhanced double MA modelling","authors":"Achilleas C. Stogioglou, S. Mclaughlin","doi":"10.5281/ZENODO.36020","DOIUrl":"https://doi.org/10.5281/ZENODO.36020","url":null,"abstract":"This paper considers the application of ΜΛ cumulant enhancement to the identification of the parameters of a causal nonminimum phase ARMA(p, q) system which is excited by an unobservable independent identically distributed (IID) non-Gaussian process. The method proposed in this paper is based on the double MA method of [l]. The cumulant enhancement is used to improve the cumulante of the two intermediate MA models which result from the decomposition of the original ARMA(p, q) model. Simulation results are presented to demonstrate the effects of cumulant enhancement on the estimated ARMA parameters.","PeriodicalId":282153,"journal":{"name":"1996 8th European Signal Processing Conference (EUSIPCO 1996)","volume":"74 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1996-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127670667","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}
K. Kajita, H. Kobayashi, S. Muramatsu, Akihiko Yamada, H. Kiya
We propose a design method for oversampled FIR DFT filter banks which have the paraunitary property, where the number of channel M is the multiple of decimation ratio D and the filter length is the multiple of M. Our proposed method is based on Householder factorization, which can keep the perfect reconstruction condition and the paraunitary property of filter banks in optimization process. In addition, we examine the linear phase property for oversampled DFT filter banks, and the design method of oversampled linear phase DFT filter banks. In order to show the effectiveness of our method, we give some design examples.
{"title":"A design method for oversampled paraunitary DFT filter banks using householder factorization","authors":"K. Kajita, H. Kobayashi, S. Muramatsu, Akihiko Yamada, H. Kiya","doi":"10.5281/ZENODO.35936","DOIUrl":"https://doi.org/10.5281/ZENODO.35936","url":null,"abstract":"We propose a design method for oversampled FIR DFT filter banks which have the paraunitary property, where the number of channel M is the multiple of decimation ratio D and the filter length is the multiple of M. Our proposed method is based on Householder factorization, which can keep the perfect reconstruction condition and the paraunitary property of filter banks in optimization process. In addition, we examine the linear phase property for oversampled DFT filter banks, and the design method of oversampled linear phase DFT filter banks. In order to show the effectiveness of our method, we give some design examples.","PeriodicalId":282153,"journal":{"name":"1996 8th European Signal Processing Conference (EUSIPCO 1996)","volume":"52 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1996-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129451879","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}
We propose a novel preprocessing scheme, referred to as vector peeling, as an alternate to the conventional spatial smoothing for solving the multiple source location problem involving coherent sources or a rank deficient source covariance matrix. The essence of the technique is to preprocess the signal sub-space eigenvectors rather than the covariance matrix as in spatial smoothing. It is shown by analysis and computer simulations that these two approaches are related, and that vector peeling slightly outperforms spatial smoothing when employed with the MUSIC-type DOA estimators. In certain instances, vector peeling offers advantages in terms of computational simplicity and flexibility. The latter is especially true with eigenstructure DOA estimators in adaptive estimation problems, i.e., when the signal subspace eigenvectors are updated using fast adaptive algorithms.
{"title":"Eigenvector peeling approach to coherent multiple source location problem","authors":"S. Reddi, A. Gershman","doi":"10.5281/ZENODO.36141","DOIUrl":"https://doi.org/10.5281/ZENODO.36141","url":null,"abstract":"We propose a novel preprocessing scheme, referred to as vector peeling, as an alternate to the conventional spatial smoothing for solving the multiple source location problem involving coherent sources or a rank deficient source covariance matrix. The essence of the technique is to preprocess the signal sub-space eigenvectors rather than the covariance matrix as in spatial smoothing. It is shown by analysis and computer simulations that these two approaches are related, and that vector peeling slightly outperforms spatial smoothing when employed with the MUSIC-type DOA estimators. In certain instances, vector peeling offers advantages in terms of computational simplicity and flexibility. The latter is especially true with eigenstructure DOA estimators in adaptive estimation problems, i.e., when the signal subspace eigenvectors are updated using fast adaptive algorithms.","PeriodicalId":282153,"journal":{"name":"1996 8th European Signal Processing Conference (EUSIPCO 1996)","volume":"92 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1996-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124596318","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}
In this paper I describe the application of machine-vision techniques to video coding in order to create what my research group calls object-oriented television, where moving scenes are represented in terms of objects (as recovered by analysis methods). Beyond data compactness, such a representation offers the ability to add new degrees of freedom to content creation and display. I discuss some of the scene analysis problems (particularly 2-D and 3-D model-fitting and object segmentation) and the algorithmic approaches my group has taken to solve them; suggest computational strategies for compact, powerful, programmable decoding hardware (particularly stream-based computing combined with automatic resource management); and demonstrate some of the applications we have developed.
{"title":"Algorithms and systems for modeling moving scenes","authors":"V. Bove","doi":"10.5281/ZENODO.36000","DOIUrl":"https://doi.org/10.5281/ZENODO.36000","url":null,"abstract":"In this paper I describe the application of machine-vision techniques to video coding in order to create what my research group calls object-oriented television, where moving scenes are represented in terms of objects (as recovered by analysis methods). Beyond data compactness, such a representation offers the ability to add new degrees of freedom to content creation and display. I discuss some of the scene analysis problems (particularly 2-D and 3-D model-fitting and object segmentation) and the algorithmic approaches my group has taken to solve them; suggest computational strategies for compact, powerful, programmable decoding hardware (particularly stream-based computing combined with automatic resource management); and demonstrate some of the applications we have developed.","PeriodicalId":282153,"journal":{"name":"1996 8th European Signal Processing Conference (EUSIPCO 1996)","volume":"66 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1996-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123201727","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}
The paper focuses on the detection and the classification of noisy AR and ARMA processes. These two kinds of processes cannot be distinguished by means of their second-order statistics, since they are Spectrally Equivalent (SE). Higher-order statistics are shown to be an efficient tool for their detection. A Neyman-Pearson (NP) test, based on these higher-order statistics, is then studied. The performance of the NP test provides a reference for comparing suboptimal detector performances.
{"title":"Detection and classification of noisy AR and ARMA processes","authors":"J. Tourneret, Karine Vareille, M. Coulon","doi":"10.5281/ZENODO.36021","DOIUrl":"https://doi.org/10.5281/ZENODO.36021","url":null,"abstract":"The paper focuses on the detection and the classification of noisy AR and ARMA processes. These two kinds of processes cannot be distinguished by means of their second-order statistics, since they are Spectrally Equivalent (SE). Higher-order statistics are shown to be an efficient tool for their detection. A Neyman-Pearson (NP) test, based on these higher-order statistics, is then studied. The performance of the NP test provides a reference for comparing suboptimal detector performances.","PeriodicalId":282153,"journal":{"name":"1996 8th European Signal Processing Conference (EUSIPCO 1996)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1996-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123914276","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}
It is one of the primary responsibilities of any department of diagnostic radiology to minimize the amount of unnecessary radiation administered to patients during diagnostic procedure. In this paper, we present three effective ways of quantifying the information content of computed radiography (CR) images for radiation dose optimization through shape and wavelet analyses. The experimental results demonstrate that the shape and wavelet analyses can be efficiently used to determine an optimum radiation dosage in computed radiography.
{"title":"Image quality evaluation for radiation dose optimization in CR by shape and wavelet analyses","authors":"J. Xuan, Tiilay Adah, E. Siegel, Y. Wang","doi":"10.5281/ZENODO.36174","DOIUrl":"https://doi.org/10.5281/ZENODO.36174","url":null,"abstract":"It is one of the primary responsibilities of any department of diagnostic radiology to minimize the amount of unnecessary radiation administered to patients during diagnostic procedure. In this paper, we present three effective ways of quantifying the information content of computed radiography (CR) images for radiation dose optimization through shape and wavelet analyses. The experimental results demonstrate that the shape and wavelet analyses can be efficiently used to determine an optimum radiation dosage in computed radiography.","PeriodicalId":282153,"journal":{"name":"1996 8th European Signal Processing Conference (EUSIPCO 1996)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1996-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116916530","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}
A method is presented for model reduction. It is based on the representation of the original model in an (exact) Kautz series. The Kautz series is an orthonormal model and is non-unique: it depends on the ordering of the poles. The ordering of the poles can be chosen such that the last sections contribute least or the first sections contribute most to the overall impulse response of the originalsystem (in a quadratic sense). Having a specific ordering, the reduced model order, say n, can be chosen by considering the energy contained in a truncated representation. The resulting reduced order model is obtained simply by truncation of the Kautz series at the nth term.
{"title":"Model reduction by Kautz filters","authors":"A. C. Brinker","doi":"10.5281/ZENODO.36112","DOIUrl":"https://doi.org/10.5281/ZENODO.36112","url":null,"abstract":"A method is presented for model reduction. It is based on the representation of the original model in an (exact) Kautz series. The Kautz series is an orthonormal model and is non-unique: it depends on the ordering of the poles. The ordering of the poles can be chosen such that the last sections contribute least or the first sections contribute most to the overall impulse response of the originalsystem (in a quadratic sense). Having a specific ordering, the reduced model order, say n, can be chosen by considering the energy contained in a truncated representation. The resulting reduced order model is obtained simply by truncation of the Kautz series at the nth term.","PeriodicalId":282153,"journal":{"name":"1996 8th European Signal Processing Conference (EUSIPCO 1996)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1996-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114392101","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}
This paper presents our work on the integration of visual data in automatic speech recognition systems. We particularly aim at solving two problems: • classifiation differences for the modeling of acoustic information (phonemes) and visual information (visemes); • the phenomena of anticipation and retention of visemes on the corresponding phonemes. We developed and tested three systems, each dealing with one or both problems and proposing a different integration strategy. The comparison of system performances show that some of the solutions we propose give satisfactory results, and suggest that further work on some others would lead to more performance improvement.
{"title":"Asynchronous integration of audio and visual sources in bi-modal automatic speech recognition","authors":"P. Deléglise, A. Rogozan, M. Alissali","doi":"10.5281/ZENODO.36298","DOIUrl":"https://doi.org/10.5281/ZENODO.36298","url":null,"abstract":"This paper presents our work on the integration of visual data in automatic speech recognition systems. We particularly aim at solving two problems: • classifiation differences for the modeling of acoustic information (phonemes) and visual information (visemes); • the phenomena of anticipation and retention of visemes on the corresponding phonemes. We developed and tested three systems, each dealing with one or both problems and proposing a different integration strategy. The comparison of system performances show that some of the solutions we propose give satisfactory results, and suggest that further work on some others would lead to more performance improvement.","PeriodicalId":282153,"journal":{"name":"1996 8th European Signal Processing Conference (EUSIPCO 1996)","volume":"88 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1996-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114906512","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}
A generalization of the correlation function is explored which, besides a relative time shift between the signals to be correlated, also takes into account different scalings on the time axis (i.e., magnification/reduction). It is shown how the generalized correlation function for continous signals can be sampled and computed without loss of information and thus can be described by discrete-time signals. Envisaged applications comprise coded aperture imaging, measurement, radar, and digital communications. Special attention is paid to tomo-graphic imaging using coded apertures. It is demonstrated how individual slices of an object can be reconstructed by correlating the recorded image with suitably designed decoding filters using the generalized correlation function.
{"title":"A generalized correlation function for magnified/reduced signals","authors":"A. Busboom, H. Schotten, H. Elders-Boll","doi":"10.5281/ZENODO.35930","DOIUrl":"https://doi.org/10.5281/ZENODO.35930","url":null,"abstract":"A generalization of the correlation function is explored which, besides a relative time shift between the signals to be correlated, also takes into account different scalings on the time axis (i.e., magnification/reduction). It is shown how the generalized correlation function for continous signals can be sampled and computed without loss of information and thus can be described by discrete-time signals. Envisaged applications comprise coded aperture imaging, measurement, radar, and digital communications. Special attention is paid to tomo-graphic imaging using coded apertures. It is demonstrated how individual slices of an object can be reconstructed by correlating the recorded image with suitably designed decoding filters using the generalized correlation function.","PeriodicalId":282153,"journal":{"name":"1996 8th European Signal Processing Conference (EUSIPCO 1996)","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1996-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116897553","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}
In this paper the reconstruction of deterministic damped sinusoidal signals from a one-dimensional slice of their multiple correlations is analysed. Signal correlations are estimated using a new higher-order correlation estimator, which allows the exponentially damped structure of the signal to be maintained in any horizontal slice of correlations. This characteristic is of utmost importance for the subsequent application of a linear method to estimate the signal parameters and thus reconstruct the signal. Simulations results show that the correlation-based approach gives better reconstructed signals than data-based methods (KT method) when coloured noise contaminates the signal.
{"title":"Damped sinusoidal signal reconstruction using higher-order correlations","authors":"D. Ruiz, M. Carrión, A. Gallego","doi":"10.5281/ZENODO.36206","DOIUrl":"https://doi.org/10.5281/ZENODO.36206","url":null,"abstract":"In this paper the reconstruction of deterministic damped sinusoidal signals from a one-dimensional slice of their multiple correlations is analysed. Signal correlations are estimated using a new higher-order correlation estimator, which allows the exponentially damped structure of the signal to be maintained in any horizontal slice of correlations. This characteristic is of utmost importance for the subsequent application of a linear method to estimate the signal parameters and thus reconstruct the signal. Simulations results show that the correlation-based approach gives better reconstructed signals than data-based methods (KT method) when coloured noise contaminates the signal.","PeriodicalId":282153,"journal":{"name":"1996 8th European Signal Processing Conference (EUSIPCO 1996)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1996-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122512718","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}
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