S. Chabrier, H. Laurent, B. Emile, C. Rosenberger, P. Marché
{"title":"A comparative study of supervised evaluation criteria for image segmentation","authors":"S. Chabrier, H. Laurent, B. Emile, C. Rosenberger, P. Marché","doi":"10.5281/ZENODO.38354","DOIUrl":"https://doi.org/10.5281/ZENODO.38354","url":null,"abstract":"This paper presents a comparative study of five supervised evaluation criteria for image segmentation. The different criteria have been tested on a selection of hundred images extracted from the c Corel database for which manual segmentation results provided by experts are available. Nine segmentation algorithms have been considered, most of which are based on threshold selection. In order to compare the behavior of the different criteria towards over- and undersegmentation, three thresholds have been taken into account, for each selected image, to simulate the various situations. Experimental results permit to reveal the advantages and limitations of the studied criteria.","PeriodicalId":347658,"journal":{"name":"2004 12th European Signal Processing Conference","volume":"85 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":"114328947","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":"Automatic radar target recognition using superresolution music 2D images and self-organizing neural network","authors":"E. Radoi, A. Quinquis, F. Totir, F. Pellen","doi":"10.5281/ZENODO.38611","DOIUrl":"https://doi.org/10.5281/ZENODO.38611","url":null,"abstract":"The key problem in any decision-making system is to gather as much information as possible about the object or the phenomenon under study. In the case of the radar targets the frequency and angular information is integrated to form a radar image, which has high information content. A supper-resolution technique (MUSIC 2D) is used in the paper in order to reconstruct the target image. A supervised self-organizing neural network was developed to classify the images obtained in this way for ten different radar targets in an anechoic chamber.","PeriodicalId":347658,"journal":{"name":"2004 12th European Signal Processing Conference","volume":"111 8 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":"115762346","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 Bayesian method for iterative joint detection and decoding in the presence of phase noise","authors":"G. Colavolpe, A. Barbieri, G. Caire","doi":"10.5281/ZENODO.38486","DOIUrl":"https://doi.org/10.5281/ZENODO.38486","url":null,"abstract":"In this paper we describe a new Bayesian algorithm for joint iterative decoding and parameter estimation. In particular, we focus on joint decoding and synchronization of low-density parity-check (LDPC) codes in the presence of phase noise. The performance of the proposed algorithm is analyzed by computer simulations showing that a time-varying channel phase, with a rate of change typical of the instabilities of the transmit and receive oscillators, does not entail significant degradation with respect to the case of a known phase.","PeriodicalId":347658,"journal":{"name":"2004 12th European Signal Processing Conference","volume":"18 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":"115133607","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":"Modelling of vibrato production","authors":"Ixone Arroabarren, A. Carlosena","doi":"10.5281/ZENODO.38314","DOIUrl":"https://doi.org/10.5281/ZENODO.38314","url":null,"abstract":"In this paper, a novel Non-Interactive Source-Filter model for singing voice, incorporating vibrato, is proposed. In this way the periodic frequency variation, peculiar to vibrato is included in a simplified signal model for singing voice production. The inclusion of vibrato will further allow to relate two distinct signal models for the voice: The Non Interactive Source-Filter and the Sinusoidal Models. In this way, the Instantaneous Amplitude and Instantaneous Frequency of the harmonics, which are intrinsically Sinusoidal Model parameters, will be related to the glottal source and vocal tract response, typical of the Source-Filter model. Thanks to the proposed model, the most relevant acoustic features of vibrato will be related to the voice production mechanisms.","PeriodicalId":347658,"journal":{"name":"2004 12th European Signal Processing Conference","volume":"41 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":"124733527","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":"Mixed-domain reduced order IIR approximation for FIR filter","authors":"C. Fung, C. Kok","doi":"10.5281/ZENODO.38442","DOIUrl":"https://doi.org/10.5281/ZENODO.38442","url":null,"abstract":"This paper proposed a mixed time and frequency domain approximation algorithm that approximates a high order FIR filter using an IIR filter with lower order. The high order FIR filter is first shortened by an eigenfilter based time domain equalizer. The equalization residue is approximated in the spectral domain using, for example, the minimax criteria, such that the two approximation filters will join together to form the resulting IIR filter. The mixed time and frequency design criteria is based on the observation that both time and frequency domain property are important and inherently inefficient when used alone. Design examples have shown that the proposed design method can obtain very good approximation in both the impulse response and spectral response of the given filter which cannot be obtained by other design techniques.","PeriodicalId":347658,"journal":{"name":"2004 12th European Signal Processing Conference","volume":"80 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":"121659151","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":"On the optimal Constant Norm Algorithm, in respect to the EMSE, for blind QAM equalization","authors":"A. Goupil, J. Palicot","doi":"10.5281/ZENODO.38520","DOIUrl":"https://doi.org/10.5281/ZENODO.38520","url":null,"abstract":"During the last Eusipco conference [1] we proposed a new class of algorithm, called Constant Norm Algorithm (CNA), which contains the well-known CMA. From this class, two new cost functions well designed for QAM modulation, were derived. The first, named CQA for Constant sQuare Algorithm, is better adapted for QAM than the classical CMA. It results in a lower algorithm's noise without an increase of complexity. This algorithm was derived thanks to the infinite norm which was intuitively better adapted for square mapping modulation than the norm 2 of the CMA. In the same period [4] we proposed a geometrical derivation for computing the Excess Mean Square Error for Bussgang algorithm. Then in respect to this derivation, we prove in this paper that the optimal norm which minimizes the EMSE for QAM modulation is not the infinite norm (even it gives a lower EMSE than the norm 2) but it is the norm 6.","PeriodicalId":347658,"journal":{"name":"2004 12th European Signal Processing Conference","volume":"81 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":"123811019","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":"3D Scan-based Wavelet Transform for multiresolution meshes","authors":"Akram Elkefi, M. Antonini, C. Amar","doi":"10.5281/ZENODO.38586","DOIUrl":"https://doi.org/10.5281/ZENODO.38586","url":null,"abstract":"In this paper we introduce a method allowing to perform a Scan-based Wavelet Transform of 3D semi-regular multiresolution meshes. This method consists in processing the datas progressively during the acquisition while reducing considerably memory usage. The experiments show that the method is very effective in terms of memory usage and access. Moreover the proposed algorithm allows to reduce the complexity of processing from O(N2) to O(N).","PeriodicalId":347658,"journal":{"name":"2004 12th European Signal Processing Conference","volume":"12 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":"125179381","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 edge-based face detection algorithm robust against illumination, focus, and scale variations","authors":"Yasufumi Suzuki, T. Shibata","doi":"10.5281/ZENODO.38646","DOIUrl":"https://doi.org/10.5281/ZENODO.38646","url":null,"abstract":"A face detection algorithm very robust against illumination, focus and scale variations in input images has been developed based on the edge-based image representation. The multiple-clue face detection algorithm developed in our previous work has been employed in conjunction with a new decision criterion called “density rule,” where only high density clusters of detected face candidates are retained as faces. As a result, the occurrence of false negatives has been greatly reduced. The robustness of the algorithm against circumstance variations has been demonstrated.","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":"129900947","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":"Space-time UMTS-FDD receiver with weighted interference cancellation","authors":"J. Wehinger, C. Mecklenbräuker","doi":"10.5281/ZENODO.38597","DOIUrl":"https://doi.org/10.5281/ZENODO.38597","url":null,"abstract":"This contribution investigates a space-time multiuser receiver with weighted non-linear parallel interference cancellation for the uplink of UMTS FDD mode. More specifically, we tailor a receiver concept originally proposed by Divsalar et al. to the uplink of UMTS FDD and extend the concept to space-time processing. This receiver consists of several concatenated identical processing stages. The concept turns-out to be well-suited for the uplink which employs long-code CDMA. Our simulations show that this receiver offers a graceful trade-off between computational complexity (expressed in the number of stages) and bit error rate in UMTS. With pilot-based channel estimation, four receive antenna elements, and two receiver stages we obtain an uncoded bit error rate of 4% at an Eb/N0 of 4dB.","PeriodicalId":347658,"journal":{"name":"2004 12th European Signal Processing Conference","volume":"84 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":"121790044","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 Capon-like spatial spectrum estimator for correlated sources","authors":"R. Abrahamsson, A. Jakobsson, P. Stoica","doi":"10.5281/ZENODO.38379","DOIUrl":"https://doi.org/10.5281/ZENODO.38379","url":null,"abstract":"In this paper, we propose a data-adaptive method for estimating the spatial spectrum for correlated and/or coherent sources. The method is reminiscent of the MVDR/Capon beamformer, but yields a multidimensional spatial response with a dimension for each examined source. The estimated directions of arrival (DOA) are given as the points of energy concentration in the multidimensional spatial response. Numerical examples indicate a significant improvement over the standard MVDR/Capon beamformer.","PeriodicalId":347658,"journal":{"name":"2004 12th European Signal Processing Conference","volume":"5 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":"121976916","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}