S. Rajan, R. Doraiswami, R. Stevenson, Raymond L. Watrous
{"title":"Wavelet based bank of correlators approach for phonocardiogram signal classification","authors":"S. Rajan, R. Doraiswami, R. Stevenson, Raymond L. Watrous","doi":"10.1109/TFSA.1998.721365","DOIUrl":"https://doi.org/10.1109/TFSA.1998.721365","url":null,"abstract":"This paper presents a methodology for detecting all the components of the phonocardiogram (PCG) signal based on a time-scale map obtained from a proposed wavelet based bank of correlators, without the aid of any additional reference signal to provide cardiac phase information. The cardiac phase information is obtained during the classification phase. The novel approach, namely the wavelet based bank of correlators approach uses the Morlet wavelets as the correlating filters. In this paper, the rationale for the choice of Morlet wavelets as the correlating filter is also developed. A complete scheme for detection and classification of PCG signals based on a simple perceptron is also presented.","PeriodicalId":395542,"journal":{"name":"Proceedings of the IEEE-SP International Symposium on Time-Frequency and Time-Scale Analysis (Cat. No.98TH8380)","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1998-10-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121200649","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":"Scaling and filtering of a sampled signal by the continuous wavelet transform","authors":"Y. Chan, K. C. Ho, P. C. Ching","doi":"10.1109/TFSA.1998.721432","DOIUrl":"https://doi.org/10.1109/TFSA.1998.721432","url":null,"abstract":"Scaling of a discrete time sequence is necessary in some applications. An example is in estimating the time delay and Doppler stretch between two waveforms received at spatially separated sensors, when there is relative motions between the signal source and the sensors. The scaling task is non-trivial because the signal to be scaled does not have an analytical form. This paper considers the use of continuous wavelet transform (CWT) to perform scaling of a discrete time signal. The method involves wavelet transforming the discrete sequence, thresholding coefficients for noise reduction and forming the scaled samples using the CWT reconstruction formula. Simulations are presented to evaluate the performance of the method.","PeriodicalId":395542,"journal":{"name":"Proceedings of the IEEE-SP International Symposium on Time-Frequency and Time-Scale Analysis (Cat. No.98TH8380)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1998-10-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114295546","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":"Effective calculation of finite frame operator for the multiple short-time Fourier transform","authors":"S. Wada, H. Yagi, H. Inaba","doi":"10.1109/TFSA.1998.721397","DOIUrl":"https://doi.org/10.1109/TFSA.1998.721397","url":null,"abstract":"Effective methods to calculate finite dual frame for the short-time Fourier expansion (STFE) in l/sup 2/(Z) are proposed when arbitrary finite frame is given. Based on a relationship between the prototype window used for generating the frame window and the dual prototype window used for generating the dual frame window, two effective numerical methods with a finite frame operator are shown to obtain finite support dual frame windows in discrete-time domain formulation. The methods can be applied to construct the multiple STFE (MSTFE) suitable for a time-frequency analysis and synthesis of nonstationary signals. Simulation results are given to verify the effectiveness of the design of dual frame windows for composing the MSTFE.","PeriodicalId":395542,"journal":{"name":"Proceedings of the IEEE-SP International Symposium on Time-Frequency and Time-Scale Analysis (Cat. No.98TH8380)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1998-10-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127734225","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 of nonlinear frequency-modulated components in the time-frequency plane using an array of accumulators","authors":"S. Krishnan, R. Rangayyan","doi":"10.1109/TFSA.1998.721485","DOIUrl":"https://doi.org/10.1109/TFSA.1998.721485","url":null,"abstract":"We propose a novel approach to detect nonlinear frequency-modulated (FM) components such as sinusoidal and hyperbolic FM components in multicomponent, nonstationary signals in the time-frequency (TF) plane. The approach, based upon the use of an array of accumulators, can be used to detect nonlinear FM components with varying energy in low signal-to-noise ratio environments.","PeriodicalId":395542,"journal":{"name":"Proceedings of the IEEE-SP International Symposium on Time-Frequency and Time-Scale Analysis (Cat. No.98TH8380)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1998-10-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128061290","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":"Stable critically-sampled Gabor transform with localized biorthogonal function","authors":"O. A. Ahmed, M. M. Fahmy","doi":"10.1109/TFSA.1998.721355","DOIUrl":"https://doi.org/10.1109/TFSA.1998.721355","url":null,"abstract":"In this paper, a new critically-sampled Gabor transform is presented. This transform, unlike all currently available critically-sampled Gabor transforms, leads to a stable transform. In addition, the resulting biorthogonal function, which is unique in the critical sampling case, is well localized in both time and frequency. It thus overcomes the main two problems of previous transforms.","PeriodicalId":395542,"journal":{"name":"Proceedings of the IEEE-SP International Symposium on Time-Frequency and Time-Scale Analysis (Cat. No.98TH8380)","volume":"9 7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1998-10-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132654456","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":"Binaural Bark subband preprocessing of nonstationary signals for noise robust speech feature extraction","authors":"M. Peters","doi":"10.1109/TFSA.1998.721498","DOIUrl":"https://doi.org/10.1109/TFSA.1998.721498","url":null,"abstract":"A two channel approach to noise robust feature extraction for speech recognition in the car is proposed. The coherence function within the Bark subbands of the mel-frequency-cepstral-transform is calculated to estimate the spectral similarity of two statistic processes. It is illustrated how the coherence of speech in binaural signals is used to increase the robustness against incoherent noise. The introduced preprocessing method of nonstationary signals in two microphones results in an additive correction term of the mel-frequency-cepstral-coefficients.","PeriodicalId":395542,"journal":{"name":"Proceedings of the IEEE-SP International Symposium on Time-Frequency and Time-Scale Analysis (Cat. No.98TH8380)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1998-10-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133704441","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":"Analysis of wavelet-domain Wiener filters","authors":"Hyeokho Choi, Richard Baraniuk","doi":"10.1109/TFSA.1998.721499","DOIUrl":"https://doi.org/10.1109/TFSA.1998.721499","url":null,"abstract":"We investigate Wiener filtering of wavelet coefficients for signal denoising. Empirically designed wavelet-domain Wiener filters outperform many other denoising algorithms based on wavelet thresholding. However, up to now, it has not been clear how to choose the signal model used to design the filter, because the effect of model selection on the filter performance is difficult to understand. By analyzing the error involved in the Wiener filter designed with an empirically obtained signal model, we show that hard thresholding is typically outperformed by a Wiener filter designed in an alternate wavelet domain. Our analysis furthermore provides a method for selecting the various parameters involved in a wavelet-domain Wiener filtering scheme.","PeriodicalId":395542,"journal":{"name":"Proceedings of the IEEE-SP International Symposium on Time-Frequency and Time-Scale Analysis (Cat. No.98TH8380)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1998-10-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134048657","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}
S. I. Shah, V. Shusterman, B. Aysin, S. Flanigan, K. P. Anderson
{"title":"Instantaneous changes in the heart rate variability during head-up tilt revealed by positive time-frequency distribution","authors":"S. I. Shah, V. Shusterman, B. Aysin, S. Flanigan, K. P. Anderson","doi":"10.1109/TFSA.1998.721409","DOIUrl":"https://doi.org/10.1109/TFSA.1998.721409","url":null,"abstract":"Energy distribution of the heart rate variability signal is perturbed in patients with impaired cardiac function compared to normal subjects (Li et al., 1997). We hypothesized that the energy distribution reflects the changes in autonomic regulation that are not exposed by conventional methods estimating the power in the empirically defined frequency ranges. To test this hypothesis instantaneous power changes in the heart rate variability signal were computed between 0.0025 and 0.25 Hz in 20 patients undergoing head-up tilting. Positive time frequency distribution (TFD) was obtained by the method of minimum cross entropy (Loughlin et al., 1994) that satisfies the time and frequency marginals. The distribution of power was calculated by separating the total frequency range into seven scales. Significant changes in the mean spectral power and its distribution were observed in those patients who experienced symptoms compared to those who were asymptomatic. We conclude that the loss of spectral power and changes in the power distribution revealed by positive TFD can be useful for assessment of physiological adaptation and diagnosis of the disorders related to autonomic imbalance.","PeriodicalId":395542,"journal":{"name":"Proceedings of the IEEE-SP International Symposium on Time-Frequency and Time-Scale Analysis (Cat. No.98TH8380)","volume":"76 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1998-10-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116726109","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":"Time frequency analysis of temporomandibular joint sounds using Gabor expansions","authors":"B. Unsal, A. Akan, Y. Çekiç","doi":"10.1109/TFSA.1998.721408","DOIUrl":"https://doi.org/10.1109/TFSA.1998.721408","url":null,"abstract":"In this paper we present an evolutionary spectral method for the analysis of temporomandibular joint (TMJ) sound signals. The analysis of TMJ sounds is of great interest in oral and dental research areas as an alternative technique for the diagnosis of TMJ disorders to the conventional methods. Here, an evolutionary spectral estimate of a TMJ signal is obtained using the multi-window Gabor expansions that use scaled windows modulated by linear chirps as basis functions. We show that this method performs better than the short-time Fourier transform and the reduced interference distribution in representing the TMJ signals.","PeriodicalId":395542,"journal":{"name":"Proceedings of the IEEE-SP International Symposium on Time-Frequency and Time-Scale Analysis (Cat. No.98TH8380)","volume":"67 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1998-10-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115837996","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":"Spatio-temporal continuous wavelets for the analysis of motion on manifolds","authors":"J. Leduc, J. R. Corbett","doi":"10.1109/TFSA.1998.721360","DOIUrl":"https://doi.org/10.1109/TFSA.1998.721360","url":null,"abstract":"This paper presents kinematical Lie algebras and Lie groups that describe motion on differentiable spatiotemporal manifolds. Motion is assumed to be translational and rotational with position, velocity and acceleration. The general kinematical groups that are derived have action that depends up the local chart and the local curvature. Squared integrable representations of these Lie groups define continuous wavelet transforms. General conditions of admissibility are presented with an example on space of constant curvature. The wavelet construction matches perfectly to differential geometry \"a la Cartan\" and mechanics on manifolds. Applications concern optimum control, general relativity and quantum mechanics.","PeriodicalId":395542,"journal":{"name":"Proceedings of the IEEE-SP International Symposium on Time-Frequency and Time-Scale Analysis (Cat. No.98TH8380)","volume":"52 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1998-10-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115130326","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}