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.2001.955285
M. Amin, W. Mu, Yimin D. Zhang
{"title":"Spatial and time-frequency signature estimation of nonstationary sources","authors":"M. Amin, W. Mu, Yimin D. Zhang","doi":"10.1109/SSP.2001.955285","DOIUrl":"https://doi.org/10.1109/SSP.2001.955285","url":null,"abstract":"Signal synthesis using time-frequency distributions can be improved using an antenna array receiver. The availability of the source signals at different array elements allows the implementation of time-frequency synthesis techniques that utilize the source spatial signatures for crossterm reduction and noise mitigation. We introduce a new technique for signal synthesis based on array averaging of Wigner distributions. The source temporal waveforms are first synthesized and then used to estimate the source spatial signatures. An iterative process incorporating the source signal vector and array vector can be applied until the desired results are reached.","PeriodicalId":70952,"journal":{"name":"信号处理","volume":"140 1","pages":"313-316"},"PeriodicalIF":0.0,"publicationDate":"2001-08-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73277421","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.2001.955277
S. Visuri, H. Oja, V. Koivunen
{"title":"Blind channel identification using robust subspace estimation","authors":"S. Visuri, H. Oja, V. Koivunen","doi":"10.1109/SSP.2001.955277","DOIUrl":"https://doi.org/10.1109/SSP.2001.955277","url":null,"abstract":"The paper introduces a robust approach to subspace based blind channel identification. The technique is based on estimating the noise subspace from the sample sign covariance matrix. The theoretical motivation for the technique is shown under the white Gaussian noise assumption. A simulation study is performed to demonstrate the robust performance of the algorithm both in Gaussian and non-Gaussian noise. The results indicate that when the noise is Gaussian, the proposed method has similar good performance as the standard subspace method. When the noise is heavy-tailed, the proposed method outperforms the conventional subspace technique.","PeriodicalId":70952,"journal":{"name":"信号处理","volume":"49 1","pages":"281-284"},"PeriodicalIF":0.0,"publicationDate":"2001-08-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74830230","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.2001.955284
C. Andrieu, M. Davy, A. Doucet
{"title":"Improved auxiliary particle filtering: applications to time-varying spectral analysis","authors":"C. Andrieu, M. Davy, A. Doucet","doi":"10.1109/SSP.2001.955284","DOIUrl":"https://doi.org/10.1109/SSP.2001.955284","url":null,"abstract":"This paper addresses optimal estimation for time-varying autoregressive (TVAR) models. First, we propose a statistical model on the time evolution of the frequencies, moduli and real poles instead of a standard model on the AR coefficients, as it makes more sense from a physical viewpoint. Second, optimal estimation involves solving a complex optimal filtering problem which does not admit any closed-form solution. We propose a new particle filtering scheme which is an improvement over the so-called auxiliary particle filter. The hyperparameters timing the evolution of the model parameters are also estimated on-line to make the model robust. Simulations demonstrate the efficiency of both our model and algorithm.","PeriodicalId":70952,"journal":{"name":"信号处理","volume":"111 1","pages":"309-312"},"PeriodicalIF":0.0,"publicationDate":"2001-08-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77478479","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}