Pub Date : 2006-01-01DOI: 10.1109/itw2.2006.323725
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K. Abed-Meraim, A. Belouchrani, A. Mansour, Y. Hua
In this contribution, we present a new approach for the estimation of the parameters of exponentially damped sinusoids based on the second order statistics of the observations. The method may be seen as an extension of the minimum norm principal eigenvectors method (see [1]) to cydo-correlation statistics domain. The proposed method exploits the nullity property of the cy do-correlation of stationary processes at non-zero cyclo-frequencies [2], This property allows in a pre-processing step to get rid from stationary additive noise. This approach presents many advantages in comparison with existing higher order statistics based approaches [3]: (i) First it deals only with second order statistics which require generally few samples in contrast to higher-order methods, (ii) it deals either with Gaussian and non-Gaussian additive noise, and (iii) also deals either with white or temporally colored (with unknown autocorrelation sequence) additive noise. The effectiveness of the proposed method is illustrated by some numerical simulations.
{"title":"Parameter estimation of exponentially damped sinusoids using second order statistics","authors":"K. Abed-Meraim, A. Belouchrani, A. Mansour, Y. Hua","doi":"10.5281/ZENODO.36353","DOIUrl":"https://doi.org/10.5281/ZENODO.36353","url":null,"abstract":"In this contribution, we present a new approach for the estimation of the parameters of exponentially damped sinusoids based on the second order statistics of the observations. The method may be seen as an extension of the minimum norm principal eigenvectors method (see [1]) to cydo-correlation statistics domain. The proposed method exploits the nullity property of the cy do-correlation of stationary processes at non-zero cyclo-frequencies [2], This property allows in a pre-processing step to get rid from stationary additive noise. This approach presents many advantages in comparison with existing higher order statistics based approaches [3]: (i) First it deals only with second order statistics which require generally few samples in contrast to higher-order methods, (ii) it deals either with Gaussian and non-Gaussian additive noise, and (iii) also deals either with white or temporally colored (with unknown autocorrelation sequence) additive noise. The effectiveness of the proposed method is illustrated by some numerical simulations.","PeriodicalId":282153,"journal":{"name":"1996 8th European Signal Processing Conference (EUSIPCO 1996)","volume":"25 5","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1996-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120914207","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 Hue, Chroma, Intensity (HCI) space is well suited to colour images segmentation processing. In this paper, we used fuzzy logic for integrating specific knowledge of the Hue component. Based upon several linguistic rules which built a symbolic cooperation between Hue and Intensity according to Chroma, a region growing segmentation with fuzzy aggregation is proposed. This fuzzy segmentation is compared with a technique using a Fuzzy C-Means algorithm in different colour spaces.
{"title":"Integration of linguistic knowledge for colour image segmentation","authors":"T. Carron, P. Lambert","doi":"10.5281/ZENODO.36432","DOIUrl":"https://doi.org/10.5281/ZENODO.36432","url":null,"abstract":"The Hue, Chroma, Intensity (HCI) space is well suited to colour images segmentation processing. In this paper, we used fuzzy logic for integrating specific knowledge of the Hue component. Based upon several linguistic rules which built a symbolic cooperation between Hue and Intensity according to Chroma, a region growing segmentation with fuzzy aggregation is proposed. This fuzzy segmentation is compared with a technique using a Fuzzy C-Means algorithm in different colour spaces.","PeriodicalId":282153,"journal":{"name":"1996 8th European Signal Processing Conference (EUSIPCO 1996)","volume":"27 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":"116663205","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 deals with data-aided channel estimation in systems using OFDM modulation. We formulate a pilot symbol-based channel estimator and compare it with the pilot-tone one proposed in [1]. Although this paper focuses in flat fading mobile channels, the results could easily be applied to OFDM systems operating in frequency-selective channels.
{"title":"Channel estimation for transform modulations in mobile communications","authors":"M. Lamarca, G. Vázquez","doi":"10.5281/ZENODO.35964","DOIUrl":"https://doi.org/10.5281/ZENODO.35964","url":null,"abstract":"This paper deals with data-aided channel estimation in systems using OFDM modulation. We formulate a pilot symbol-based channel estimator and compare it with the pilot-tone one proposed in [1]. Although this paper focuses in flat fading mobile channels, the results could easily be applied to OFDM systems operating in frequency-selective channels.","PeriodicalId":282153,"journal":{"name":"1996 8th European Signal Processing Conference (EUSIPCO 1996)","volume":"25 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":"125807912","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}
Since modern telecommunication equipment, especially hands-free telephones, incorporates sophisticated signal processing, the analysis methods must take into account the properties of the human hearing. The basis for the correct aquisition of test data — used for auditory but instrumental measurements as well- is the binaural rcording and binaural analysis of the test stimuli. The paper gives an overview, in what ways binaural methods can be applied for quality evaluation. The paper focusses on methods for aquiring test data in the listening situation, in the converational situation and for instrumental measurements using defined, artificial test stimuli. Various methods for playback of binaurally recorded sounds in different situations are shown.
{"title":"Binaural analysis methods and their relationship to quality evaluation of hands-free telecommunication equipment","authors":"H. Gierlich","doi":"10.5281/ZENODO.36409","DOIUrl":"https://doi.org/10.5281/ZENODO.36409","url":null,"abstract":"Since modern telecommunication equipment, especially hands-free telephones, incorporates sophisticated signal processing, the analysis methods must take into account the properties of the human hearing. The basis for the correct aquisition of test data — used for auditory but instrumental measurements as well- is the binaural rcording and binaural analysis of the test stimuli. The paper gives an overview, in what ways binaural methods can be applied for quality evaluation. The paper focusses on methods for aquiring test data in the listening situation, in the converational situation and for instrumental measurements using defined, artificial test stimuli. Various methods for playback of binaurally recorded sounds in different situations are shown.","PeriodicalId":282153,"journal":{"name":"1996 8th European Signal Processing Conference (EUSIPCO 1996)","volume":"40 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":"126779306","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 new technique for designing causal and minimum-phase FIR and IIR digital filters is presented. Here, the deviation from a desired quefrency response is minimised using the Fletcher-Powell algorithm. As a consequence, this leads to an optimisation of both log-magnitude response and phase response. Therefore, the method is of special interest for both equalisers and allpasses. It works with real parameters which represent the poles and zeros of the system.
{"title":"Cepstral synthesis of minimum-phase FIR and IIR digital filters","authors":"P. Nagel","doi":"10.5281/ZENODO.36012","DOIUrl":"https://doi.org/10.5281/ZENODO.36012","url":null,"abstract":"A new technique for designing causal and minimum-phase FIR and IIR digital filters is presented. Here, the deviation from a desired quefrency response is minimised using the Fletcher-Powell algorithm. As a consequence, this leads to an optimisation of both log-magnitude response and phase response. Therefore, the method is of special interest for both equalisers and allpasses. It works with real parameters which represent the poles and zeros of the system.","PeriodicalId":282153,"journal":{"name":"1996 8th European Signal Processing Conference (EUSIPCO 1996)","volume":"218 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":"115074724","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 describes the use of associative models for integrating different sensors. Integrated associative structures are outlined and related to previous approaches; the enhanced robustness resulting from the integration of Associative Memories (AMs) and Neural Networks (NNs) is shown. Discussion then focuses on how different information sources can cooperate on associative visual recognition. Experimental results on real-image testbeds are reported, which confirm theoretical expectations.
{"title":"Sensor integration in associative visual structures","authors":"F. Ancona, G. Parodi, R. Zunino","doi":"10.5281/ZENODO.36051","DOIUrl":"https://doi.org/10.5281/ZENODO.36051","url":null,"abstract":"The paper describes the use of associative models for integrating different sensors. Integrated associative structures are outlined and related to previous approaches; the enhanced robustness resulting from the integration of Associative Memories (AMs) and Neural Networks (NNs) is shown. Discussion then focuses on how different information sources can cooperate on associative visual recognition. Experimental results on real-image testbeds are reported, which confirm theoretical expectations.","PeriodicalId":282153,"journal":{"name":"1996 8th European Signal Processing Conference (EUSIPCO 1996)","volume":"23 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":"129766402","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 wavelet based method for time delay and Doppler stretch estimation has been proposed. It makes use of the relationship between the wideband cross ambiguity function (WBCAF) and the cross wavelet transform of the received signals. This paper derives the Cramer-Rao lower bound (CRLB) and analyses the performance of the algorithm. It is found that under high SNR, the method is asymptotically unbiased, and the variances of the estimation parameters are fairly close to the CRLB. Simulation results are given to corroborate the theoretical derivation.
{"title":"Performance analysis of a wavelet based WBCAF method for time delay and Doppler stretch estimation","authors":"X. Niu, P. Ching, Y. Chan","doi":"10.5281/ZENODO.35997","DOIUrl":"https://doi.org/10.5281/ZENODO.35997","url":null,"abstract":"A wavelet based method for time delay and Doppler stretch estimation has been proposed. It makes use of the relationship between the wideband cross ambiguity function (WBCAF) and the cross wavelet transform of the received signals. This paper derives the Cramer-Rao lower bound (CRLB) and analyses the performance of the algorithm. It is found that under high SNR, the method is asymptotically unbiased, and the variances of the estimation parameters are fairly close to the CRLB. Simulation results are given to corroborate the theoretical derivation.","PeriodicalId":282153,"journal":{"name":"1996 8th European Signal Processing Conference (EUSIPCO 1996)","volume":"1 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":"126017301","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 describe a method for textural feature extraction of MRI volumes of the brain and, based upon those features, a method for classification and assessment of the anatomical malformations of the brain, due to Alzheimer's Disease (AD). In our research, we make the hypothesis that there is enough detectable textural evidence from a 3D analysis of MR images of the brain to detect and identify the earliest structural changes of AD. To uniquely characterise structural malformations we construct a database of statistical information for 3D textures at different scales, using wavelet operators. The major goal at this stage of our research is to explore the inherent constraints imposed by the structure of the texture and its symbolic description. Our representation benefits from a unique method of parameter reduction, which gives an unambiguous description of the textures of the brain in 3D. One of the key attributes of this model is that, in the case of conflicting statements, it generates a low confidence estimate, thus allowing a local measure of reliability.
{"title":"Textural 3-dimensional multiscale analysis of MRI volumes of the brain","authors":"Harry Hatzakis, S. Roberts, I. Matalas","doi":"10.5281/ZENODO.36169","DOIUrl":"https://doi.org/10.5281/ZENODO.36169","url":null,"abstract":"We describe a method for textural feature extraction of MRI volumes of the brain and, based upon those features, a method for classification and assessment of the anatomical malformations of the brain, due to Alzheimer's Disease (AD). In our research, we make the hypothesis that there is enough detectable textural evidence from a 3D analysis of MR images of the brain to detect and identify the earliest structural changes of AD. To uniquely characterise structural malformations we construct a database of statistical information for 3D textures at different scales, using wavelet operators. The major goal at this stage of our research is to explore the inherent constraints imposed by the structure of the texture and its symbolic description. Our representation benefits from a unique method of parameter reduction, which gives an unambiguous description of the textures of the brain in 3D. One of the key attributes of this model is that, in the case of conflicting statements, it generates a low confidence estimate, thus allowing a local measure of reliability.","PeriodicalId":282153,"journal":{"name":"1996 8th European Signal Processing Conference (EUSIPCO 1996)","volume":"3 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":"131180183","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}
Wavelet with longer support length is used in the smooth area of image to integrate energy effectively, while wavelet with shorter support length is used in the vicinity of edges. These two sets of wavelet transform switch automatically according to the image. The main problem for the design of time-varying filter is how to reconstruct exactly the signal during the transition period. An exact reconstruction method between any two sets of the widely used biorthogonal wavelet bases was proposed in this paper. And even more, by feedback of quantized wavelet coefficients, side information is embedded in the coding bit stream.
{"title":"Time varying wavelet transform for image coding","authors":"Y. Xiang, Ruwei Dai","doi":"10.5281/ZENODO.36027","DOIUrl":"https://doi.org/10.5281/ZENODO.36027","url":null,"abstract":"Wavelet with longer support length is used in the smooth area of image to integrate energy effectively, while wavelet with shorter support length is used in the vicinity of edges. These two sets of wavelet transform switch automatically according to the image. The main problem for the design of time-varying filter is how to reconstruct exactly the signal during the transition period. An exact reconstruction method between any two sets of the widely used biorthogonal wavelet bases was proposed in this paper. And even more, by feedback of quantized wavelet coefficients, side information is embedded in the coding bit stream.","PeriodicalId":282153,"journal":{"name":"1996 8th European Signal Processing Conference (EUSIPCO 1996)","volume":"1 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":"132993060","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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