信号处理Pub Date : 2001-08-06DOI: 10.1109/SSP.2001.955354
X. Xie, S. Chan, T. Yuk
{"title":"M-band perfect-reconstruction linear-phase filter banks","authors":"X. Xie, S. Chan, T. Yuk","doi":"10.1109/SSP.2001.955354","DOIUrl":"https://doi.org/10.1109/SSP.2001.955354","url":null,"abstract":"This paper studies the design of M-channel perfect-reconstruction (PR) linear-phase (LP) filter banks (FBs) with M=2/sup k/ using a tree-structured FB. It is based on a observation of Fliege(1995) that the length of the analysis filters is decreased by a factor of two when the depth of the tree is increased by one, while its transition bandwidth is increased by the same factor. A lattice-based 2-channel LP FB is chosen because the frequency responses of the lowpass and highpass analysis (synthesis) filters can be designed to be closely symmetric to the other around /spl pi//2. By properly selecting the filter length, transition bandwidth. and stopband attenuation of the 2-channel PR LP FBs at each level of the tree structure, it is possible to design uniform PR LP FB with excellent frequency characteristic and much lower system delay.","PeriodicalId":70952,"journal":{"name":"信号处理","volume":"10 1","pages":"583-586"},"PeriodicalIF":0.0,"publicationDate":"2001-08-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88648389","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}
信号处理Pub Date : 2001-08-06DOI: 10.1109/SSP.2001.955325
M. Khan
{"title":"Higher order conditional entropy-constrained trellis-coded RVQ with application to pyramid image coding","authors":"M. Khan","doi":"10.1109/SSP.2001.955325","DOIUrl":"https://doi.org/10.1109/SSP.2001.955325","url":null,"abstract":"This paper introduces an extension of conditional entropy-constrained residual vector quantization (CEC-RVQ) to include quantization cell shape gain. The method is referred to as conditional entropy-constrained trellis-coded RVQ (CEC-TCRVQ). The new design is based on coding image vectors by taking into account their 2D correlation and employing a higher order entropy model with a trellis structure. We employed CEC-TCRVQ to code image subbands at low bit rate. The CEC-TCRVQ coded images do well in term of preserving low-magnitude textures present in some images.","PeriodicalId":70952,"journal":{"name":"信号处理","volume":"21 1","pages":"472-475"},"PeriodicalIF":0.0,"publicationDate":"2001-08-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76914839","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}
信号处理Pub Date : 2001-08-06DOI: 10.1109/SSP.2001.955314
J. Kotecha, P. Djurić
{"title":"Gaussian particle filtering","authors":"J. Kotecha, P. Djurić","doi":"10.1109/SSP.2001.955314","DOIUrl":"https://doi.org/10.1109/SSP.2001.955314","url":null,"abstract":"Sequential Bayesian estimation for dynamic state space models involves recursive estimation of hidden states based on noisy observations. The update of filtering and predictive densities for nonlinear models with non-Gaussian noise using Monte Carlo particle filtering methods is considered. The Gaussian particle filter (GPF) is introduced, where densities are approximated as a single Gaussian, an assumption which is also made in the extended Kalman filter (EKF). It is analytically shown that, if the Gaussian approximations hold true, the GPF minimizes the mean square error of the estimates asymptotically. The simulations results indicate that the filter has improved performance compared to the EKF, especially for highly nonlinear models where the EKF can diverge.","PeriodicalId":70952,"journal":{"name":"信号处理","volume":"57 1","pages":"429-432"},"PeriodicalIF":0.0,"publicationDate":"2001-08-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76916514","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}
信号处理Pub Date : 2001-08-06DOI: 10.1109/SSP.2001.955267
D. R. Iskander, M. Morelande, M. Collins
{"title":"Estimating the dynamics of aberration components in the human eye","authors":"D. R. Iskander, M. Morelande, M. Collins","doi":"10.1109/SSP.2001.955267","DOIUrl":"https://doi.org/10.1109/SSP.2001.955267","url":null,"abstract":"To provide adequate information that would assist surgeons in performing advanced refractive corrections, it is essential to address the problem of microfluctuations in the eye's aberrations due to pulse and respiration. Although the effects of fluctuations in defocus are known and well described, very little is reported on modelling the fluctuations in other types of aberrations. We propose a methodology in which the dynamics of higher order aberration components are modelled by parametric AM-FM signals. Using our modelling approach, the effects of changes in these aberrations could be predicted and studied. In particular, we model the dynamics of components related to coma and spherical aberration. We provide a validation of the proposed modelling approach using aberration data from the eyes of six subjects.","PeriodicalId":70952,"journal":{"name":"信号处理","volume":"136 1","pages":"241-244"},"PeriodicalIF":0.0,"publicationDate":"2001-08-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86118802","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}
信号处理Pub Date : 2001-08-06DOI: 10.1109/SSP.2001.955221
C.L. Brown
{"title":"Score functions for locally subptimum and locally suboptimum rank detection in alpha-stable interference","authors":"C.L. Brown","doi":"10.1109/SSP.2001.955221","DOIUrl":"https://doi.org/10.1109/SSP.2001.955221","url":null,"abstract":"Approximations to the locally optimum and locally optimum rank score functions for the detection of a known signal in additive symmetric /spl alpha/ stable interference have been shown to introduce only slight performance loss. Here, the location of the apices of the nonlinearities is shown to follow an approximate linear relationship with the characteristic exponent, /spl alpha/, of the interference. The distribution of the corresponding test statistics is also found to be approximately Gaussian. These findings make implementation of the detectors more feasible and remove some expensive computational burden.","PeriodicalId":70952,"journal":{"name":"信号处理","volume":"43 1","pages":"58-61"},"PeriodicalIF":0.0,"publicationDate":"2001-08-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86169004","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}
信号处理Pub Date : 2001-08-06DOI: 10.1109/SSP.2001.955345
A. Liavas
{"title":"Robustness of the finite-length MMSE-DFE with respect to channel and second-order statistics estimation errors","authors":"A. Liavas","doi":"10.1109/SSP.2001.955345","DOIUrl":"https://doi.org/10.1109/SSP.2001.955345","url":null,"abstract":"The filters constituting the minimum mean square error decision-feedback equalizer (MMSE-DFE), as well as related performance measures, can be computed by assuming perfect knowledge of the channel impulse response and the input and noise second-order statistics (SOS). In practice, we estimate the unknown channel and SOS, and inevitable estimation errors arise. We model estimation errors as small perturbations, i.e., of order /spl epsiv/, with /spl epsiv/ a sufficiently small positive number, and we study the behavior of the MMSE-DFE under mismatch by performing a first-order perturbation analysis. We prove that the excess MSE induced by O(/spl epsiv/) estimation errors is O(/spl epsiv//sup 2/), uncovering important robustness properties associated with the MMSE-DFE.","PeriodicalId":70952,"journal":{"name":"信号处理","volume":"174 1","pages":"552-555"},"PeriodicalIF":0.0,"publicationDate":"2001-08-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87032223","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}
信号处理Pub Date : 2001-08-06DOI: 10.1109/SSP.2001.955271
J. Paul, S. Tong, D. Sherman, Anastasios Bezerianos, N. Thakor
{"title":"On the application of model based distance metrics of signals for detection of brain injury","authors":"J. Paul, S. Tong, D. Sherman, Anastasios Bezerianos, N. Thakor","doi":"10.1109/SSP.2001.955271","DOIUrl":"https://doi.org/10.1109/SSP.2001.955271","url":null,"abstract":"In the basic and clinical research on brain's response to injury, electrical signals from the brain, namely EEG, is useful in providing an immediate signaling of the dysfunction. However, EEG signals have proven to be difficult to analyze and interpret due it its complex signal characteristic. There is a critical need for developing robust and reliable measures that can be correlated with injury as well as survival. In this paper, we address a unique problem of characterizing quantitatively the electrical measures of brain injury for analysis of brain activity in animal and human subjects. The key objective is to model EEG spectra and its features so that signaling changes due to injury can be discovered. We do so with the method of autoregressive modeling and dominant frequency analysis. The trends in the electrical signaling following injury and following resuscitation are modeled using the cepstral distance derived from the AR model.","PeriodicalId":70952,"journal":{"name":"信号处理","volume":"73 1","pages":"257-260"},"PeriodicalIF":0.0,"publicationDate":"2001-08-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90363498","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}
信号处理Pub Date : 2001-08-06DOI: 10.1109/SSP.2001.955289
S. Policker, A. Geva
{"title":"Prediction of time varying composite sources by temporal fuzzy clustering","authors":"S. Policker, A. Geva","doi":"10.1109/SSP.2001.955289","DOIUrl":"https://doi.org/10.1109/SSP.2001.955289","url":null,"abstract":"We present a method for predicting non-stationary signals generated by a time varying composite source. The method is based on the concept of temporal fuzzy clustering. A fuzzy clustering algorithm is applied to the given part (past+present) of the time series and the calculated clusters and membership matrix are then used to estimate a mixture probability distribution function (PDF) underlying the series. In this way a continuous drift in the series distribution expressed as a drift in the clusters' appearance rate can be estimated. A future PDF can then be predicted by fitting a specific model to the estimated past and future PDF values. This also enables the generation of a minimal-mean-squared-error prediction for a future time series element using the estimated mean value of the predicted PDF.","PeriodicalId":70952,"journal":{"name":"信号处理","volume":"2 1","pages":"329-332"},"PeriodicalIF":0.0,"publicationDate":"2001-08-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88889623","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}
信号处理Pub Date : 2001-08-06DOI: 10.1109/SSP.2001.955283
Arthur Gretton, Manuel Davy, A. Doucet, P. Rayner
{"title":"Nonstationary signal classification using support vector machines","authors":"Arthur Gretton, Manuel Davy, A. Doucet, P. Rayner","doi":"10.1109/SSP.2001.955283","DOIUrl":"https://doi.org/10.1109/SSP.2001.955283","url":null,"abstract":"We demonstrate the use of support vector (SV) techniques for the binary classification of nonstationary sinusoidal signals with quadratic phase. We briefly describe the theory underpinning SV classification, and introduce Cohen's group time-frequency representation, which is used to process the nonstationary signals so as to define the classifier input space. We show that the SV classifier outperforms alternative classification methods on this processed data.","PeriodicalId":70952,"journal":{"name":"信号处理","volume":"128 1","pages":"305-308"},"PeriodicalIF":0.0,"publicationDate":"2001-08-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89689913","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}
信号处理Pub Date : 2001-08-06DOI: 10.1109/SSP.2001.955274
Roberto López-Valcarce, S. Dasgupta
{"title":"On blind equalization of rank deficient nonlinear channels","authors":"Roberto López-Valcarce, S. Dasgupta","doi":"10.1109/SSP.2001.955274","DOIUrl":"https://doi.org/10.1109/SSP.2001.955274","url":null,"abstract":"We consider the problem of blind equalization of nonlinear channels from the second-order statistics of the channel output. The channel model is linear in the parameters, with additive terms that are nonlinear functions of the transmitted symbols. All previous approaches assume that the corresponding channel matrix has full column rank, which ensures the existence of linear FIR zero forcing equalizers. We show that this assumption is not necessary, and that under certain circumstances linear FIR equalizers can be found despite the violation of this assumption. An important consequence of this fact is that equalization can be effected with a smaller level of diversity. In this paper necessary and sufficient conditions on the channel matrix are given. An algorithm for the computation of the equalizers is also given for those channels satisfying these conditions, assuming an i.i.d. symbol sequence and memory dominance of the linear part.","PeriodicalId":70952,"journal":{"name":"信号处理","volume":"82 1","pages":"269-272"},"PeriodicalIF":0.0,"publicationDate":"2001-08-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84234693","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}