{"title":"Distributed spectrum allocation with the Cournot competition","authors":"Marcin Parzy, H. Bogucka","doi":"10.5281/ZENODO.42259","DOIUrl":"https://doi.org/10.5281/ZENODO.42259","url":null,"abstract":"The paper considers a new method of the spectrum scheduling process and QoS support in distributed wireless networks using a game theoretic-framework. The game uses incomplete information model, so the concept of the Bayesian Nash equilibrium is used. Moreover, we consider the new algorithm of distributed spectrum sharing based on the Cournot oligopoly competition. Multiple traffic classes of high and low priority have been used with special parameters which represent priority classes and the volume of users' individual demands. The proposed resource-sharing algorithm may be used in distributed opportunistic or cognitive wireless networks.","PeriodicalId":409817,"journal":{"name":"2010 18th European Signal Processing Conference","volume":"59 35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-08-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132637882","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-aided DOA estimation of single source with time-variant Rayleigh amplitudes","authors":"H. Abeida, Tareq Y. Al-Nafouri","doi":"10.5281/ZENODO.42033","DOIUrl":"https://doi.org/10.5281/ZENODO.42033","url":null,"abstract":"This paper focuses on the data-aided (DA) direction of arrival (DOA) estimation of a single narrow-band source in time-varying Rayleigh fading amplitude. The time-variant fading amplitude is modeled by considering the Jakes' and the first order autoregressive (AR1) correlation models. Closed-form expressions of the CRB for DOA alone are derived for fast and slow Rayleigh fading amplitude. As a special case, the CRB under uncorrelated fading Rayleigh channel is derived. A analytical approximate expressions of the CRB are derived for low and high SNR that enable the derivation of a number of properties that describe the bound's dependence on key parameters such as SNR, channel correlation. A high signal-to-noise-ratio maximum likelihood (ML) estimator based on the AR1 correlation model is derived. The main objective is to reduce algorithm complexity to a single-dimensional search on the DOA parameter alone as in the static-channel DOA estimator. Finally, simulation results illustrate the performance of the estimator and confirm the validity of the theoretical analysis.","PeriodicalId":409817,"journal":{"name":"2010 18th European Signal Processing Conference","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-08-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131801210","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":"Stereo correspondence matching: Balanced multiwavelets versus unbalanced multiwavelets","authors":"P. B. Zadeh, C. Serdean","doi":"10.5281/ZENODO.42078","DOIUrl":"https://doi.org/10.5281/ZENODO.42078","url":null,"abstract":"This paper investigates the efficiency of unbalanced versus balanced multiwavelets in stereo correspondence matching. A multiwavelet transform is first applied to a pair of stereo images to decorrelate them into a number of subbands. Information in the approximation subbands of an unbalanced multiwavelet carries different spectral content of the input image while the balanced multiwavelet approximation subbands produce similar spectral content of the input image. Hence, the application of the approximation subbands of the unbalanced multiwavelets in disparity map generation could produce more accurate results compared to that of balanced multiwavelets. A global error energy minimization technique is employed to generate a disparity map for each approximation subband. The information in the resulting disparity maps is then combined using a Fuzzy algorithm to generate a dense disparity map. Simulation results show that the unbalanced multiwavelets produce a smoother disparity map with less mismatch errors compared to that of balanced multiwavelets.","PeriodicalId":409817,"journal":{"name":"2010 18th European Signal Processing Conference","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-08-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133289852","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":"Efficient implementation of adaptive FIR-IFIR filters using the LMS algorithm","authors":"E. Batista, O. J. Tobias, R. Seara","doi":"10.5281/ZENODO.41945","DOIUrl":"https://doi.org/10.5281/ZENODO.41945","url":null,"abstract":"This paper presents an approach for effectively implementing adaptive FIR-IFIR filters using the LMS algorithm. The motivation of such an approach is to use IFIR filters with removed boundary effect aiming to eliminate the loss of performance arisen from the FIR-IFIR combination for echo cancellation applications. Thereby, an algorithm with a better trade-off between performance and computational complexity is obtained as compared with other FIR-IFIR approaches. Numerical simulation results are presented attesting the effectiveness of the obtained algorithm.","PeriodicalId":409817,"journal":{"name":"2010 18th European Signal Processing Conference","volume":"432 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-08-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133712941","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":"Detection and estimation of arrivals in room impulse responses by greedy sparse approximation","authors":"Bob L. Sturm, G. DeFrance","doi":"10.5281/ZENODO.41906","DOIUrl":"https://doi.org/10.5281/ZENODO.41906","url":null,"abstract":"We investigate the use of greedy sparse approximation for facilitating the time-domain analysis of room impulse responses (RIRs), specifically locating the times and amplitudes of arrivals to not long after the upper bound of the “mixing time,” i.e., the time after which there exists in theory the same number of sound rays per unit volume throughout the room. We compare the performance of two methods of greedy sparse approximation - matching pursuit (MP) and orthogonal MP (OMP) - for estimating arrival times and amplitudes. By using RIRs generated from a stochastic model, we quantify the performance of each estimator using dynamic time warping to optimally pair estimated and true arrivals. We find OMP significantly outperforms MP in estimating both the arrival times and amplitudes, and having fewer erroneous and duplicated arrivals.","PeriodicalId":409817,"journal":{"name":"2010 18th European Signal Processing Conference","volume":"67 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-08-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129070794","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}
Takayuki Inoue, Yu Takahashi, H. Saruwatari, K. Shikano, Kazunobu Kondo
{"title":"Theoretical analysis of musical noise in generalized spectral subtraction: Why should not use power/amplitude subtraction?","authors":"Takayuki Inoue, Yu Takahashi, H. Saruwatari, K. Shikano, Kazunobu Kondo","doi":"10.5281/ZENODO.42092","DOIUrl":"https://doi.org/10.5281/ZENODO.42092","url":null,"abstract":"In this paper, we provide a new theoretical analysis of the amount of musical noise generated via generalized spectral subtraction based on higher-order statistics. Power spectral subtraction is the most commonly used spectral subtraction method, and in our previous study a musical noise assessment theory limited to the power spectral domain was proposed. Therefore, in this paper, we propose a generalization of our previous theory on spectral subtraction for arbitrary exponent parameters. We can thus compare the amount of musical noise between any exponent domains from the results of our analysis. We also clarify that less musical noise is generated when we choose the lower exponent spectral domain; this implies that there is no theoretical justification for using power/amplitude spectral subtraction.","PeriodicalId":409817,"journal":{"name":"2010 18th European Signal Processing Conference","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-08-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116266301","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":"Cumulant-based estimation of quadratic mixture parameters for blind source separation","authors":"C. Chaouchi, Y. Deville, S. Hosseini","doi":"10.5281/ZENODO.42144","DOIUrl":"https://doi.org/10.5281/ZENODO.42144","url":null,"abstract":"In this paper, we consider a quadratic model in the blind source separation problem, and we propose a method to estimate the mixing coefficients using cumulants, by solving a nonlinear system of equations. This system is derived from the cumulants of the observations and depends on the mixing parameters and the source moments. We solve it using optimization algorithms, i.e. Levenberg-Marquardt and Gauss-Newton. The numerical results thus obtained confirm the effectiveness of our method.","PeriodicalId":409817,"journal":{"name":"2010 18th European Signal Processing Conference","volume":"55 22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-08-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114235389","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":"Tapers for large planar phased arrays on regular grids: Simple design methods versus second-order cone programming","authors":"J. O. Coleman","doi":"10.5281/ZENODO.41952","DOIUrl":"https://doi.org/10.5281/ZENODO.41952","url":null,"abstract":"Design experiments compare taper-design approaches for a narrowband planar array of 10,000 or so elements on the triangular grid. Considered: a hexagonal-kernel McClellan transformation, a product of three 1D tapers, sampling Taylor's circular aperture, and second-order cone programming.","PeriodicalId":409817,"journal":{"name":"2010 18th European Signal Processing Conference","volume":"71 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-08-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124869908","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}
Clément Strauss, François Pasteau, Marie Babel, O. Déforges, L. Bédat
{"title":"Improved image partitioning for compression and representation using the lab color space in the LAR image codec","authors":"Clément Strauss, François Pasteau, Marie Babel, O. Déforges, L. Bédat","doi":"10.5281/ZENODO.42080","DOIUrl":"https://doi.org/10.5281/ZENODO.42080","url":null,"abstract":"The LAR codec is an advanced image compression method relying on a quadtree partitioning of the image. The partitioning strongly impacts the LAR codec efficiency and enables both compression and representation efficiency. In order to increase the perceptual representation abilities without penalizing the compression efficiency we introduce and evaluate two partitioning criteria working in the Lab color space. These criteria are confronted to the original criterion and their compression and robustness performances are analyzed.","PeriodicalId":409817,"journal":{"name":"2010 18th European Signal Processing Conference","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-08-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124920842","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":"Blind identification of underdetermined mixtures of complex sources based on the characteristic function","authors":"Xavier Luciani, A. D. Almeida, P. Comon","doi":"10.5281/ZENODO.41982","DOIUrl":"https://doi.org/10.5281/ZENODO.41982","url":null,"abstract":"In this work we consider the problem of blind identification of underdetermined mixtures using the generating function of the observations. This approach has been successfully applied on real sources but had not been extended to the more attractive case of complex mixtures of complex sources. This is the main goal of the present study. By developing the core equation in the complex case, we arrive at a particular tensor stowage which involves an original tensor decomposition. Exploiting this decomposition, an algorithm is proposed to blindly estimate the mixing matrix. Three versions of this algorithm based on 2nd, 3rd and 4th-order derivatives of the generating function are evaluated on complex mixtures of 4-QAM and 8-PSK sources and compared to the 6-BIOME algorithm by means of simulation results.","PeriodicalId":409817,"journal":{"name":"2010 18th European Signal Processing Conference","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-08-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125503243","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}