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Proceedings of the IEEE-SP International Symposium on Time-Frequency and Time-Scale Analysis (Cat. No.98TH8380)最新文献

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Fitting quantization scheme to multiresolution detail preserving compression algorithm 量化方案与多分辨率细节保留压缩算法的拟合
Proceedings of the IEEE-SP International Symposium on Time-Frequency and Time-Scale Analysis (Cat. No.98TH8380) Pub Date : 1998-10-06 DOI: 10.1109/TFSA.1998.721467
A. Przelaskowski
{"title":"Fitting quantization scheme to multiresolution detail preserving compression algorithm","authors":"A. Przelaskowski","doi":"10.1109/TFSA.1998.721467","DOIUrl":"https://doi.org/10.1109/TFSA.1998.721467","url":null,"abstract":"An adaptive space-frequency quantization scheme in a scalar fashion applied to wavelet-based compression is presented. Because of strong demands due to detail preservation in lossy image archiving and transmission, as in for example medical applications, different modifications of uniform threshold quantization are considered. The main features of the elaborated procedure are as follows: fitting the threshold value to the local data characteristics in a backward way and quantization step size estimation for each subband as a forward and backward framework in the optimization procedure. Many tests conducted with a real wavelet compression scheme confirm the significant efficiency of the presented quantization procedures. The achieved total compression effectiveness is promising in spite of the simple coding algorithm.","PeriodicalId":395542,"journal":{"name":"Proceedings of the IEEE-SP International Symposium on Time-Frequency and Time-Scale Analysis (Cat. No.98TH8380)","volume":"105 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":"114825104","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}
引用次数: 7
Scaling and wavelet functions generating from complementary filter banks 由互补滤波器组生成的尺度函数和小波函数
Proceedings of the IEEE-SP International Symposium on Time-Frequency and Time-Scale Analysis (Cat. No.98TH8380) Pub Date : 1998-10-06 DOI: 10.1109/TFSA.1998.721433
M. G. Almeida
{"title":"Scaling and wavelet functions generating from complementary filter banks","authors":"M. G. Almeida","doi":"10.1109/TFSA.1998.721433","DOIUrl":"https://doi.org/10.1109/TFSA.1998.721433","url":null,"abstract":"We present two-dimensional (2D) complementary filter (CF) banks and a signal processing technique for image processing that can be used to generate scaling and wavelet functions. The 2D multirate signal processing theory and complementary filters properties are the base of CF banks design. Procedures to design quincunx, rectangular and circular complementary filters for alias free decimation are shown. The CF banks and wavelet representation are related and a consistent set of wavelet and scaling functions are developed. The region of support of scaling and wavelet functions can be found in each resolution level for different types of sampling. We show that quincunx sampling has two mother wavelets, since the region of support changes shape with the resolution levels. Examples of scaling and wavelet functions are shown.","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":"114411268","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}
引用次数: 5
A real-time simulated QRS detection system constructed using wavelet filtering technique 利用小波滤波技术构建了实时仿真QRS检测系统
Proceedings of the IEEE-SP International Symposium on Time-Frequency and Time-Scale Analysis (Cat. No.98TH8380) Pub Date : 1998-10-06 DOI: 10.1109/TFSA.1998.721416
G. Kokturk
{"title":"A real-time simulated QRS detection system constructed using wavelet filtering technique","authors":"G. Kokturk","doi":"10.1109/TFSA.1998.721416","DOIUrl":"https://doi.org/10.1109/TFSA.1998.721416","url":null,"abstract":"Electrocardiography (ECG) signals analysis is a very important step in the detection of some of the electrophysiological abnormalities that distinguish patients with and without sustained late potential problems. Unfortunately, approaches developed so far, both in time and frequency domain of the QRS complex suffer from a relatively low positive-predictive accuracy. This underscores the requirement to improve methods. In this study, we investigated the applications of wavelet filter banks. These are then applied to the problem of distinguishing patients with and without late potential. In the course of the work, we studied various accuracy scenarios using basic filtering and wavelet filtering techniques. We developed a new approach called subframe approximation and applied this approach to the wavelet filters. The real improvement is achieved in the wavelet filtering method and discrete wavelet analysis.","PeriodicalId":395542,"journal":{"name":"Proceedings of the IEEE-SP International Symposium on Time-Frequency and Time-Scale Analysis (Cat. No.98TH8380)","volume":"161 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":"114732304","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}
引用次数: 7
Ridge extraction from the scalogram of the uterine electromyogram 子宫肌电图尺度图的脊线提取
Proceedings of the IEEE-SP International Symposium on Time-Frequency and Time-Scale Analysis (Cat. No.98TH8380) Pub Date : 1998-10-06 DOI: 10.1109/TFSA.1998.721407
L. Helene, M. Catherine
{"title":"Ridge extraction from the scalogram of the uterine electromyogram","authors":"L. Helene, M. Catherine","doi":"10.1109/TFSA.1998.721407","DOIUrl":"https://doi.org/10.1109/TFSA.1998.721407","url":null,"abstract":"We propose a ridge extraction method, based on the local maxima of the scalogram, in order to follow the spectral components during time. The method is applied on a monkey's uterine electromyogram signal, which represents the electrical uterine activity during pregnancy. This signal possesses two spectral components, identified as FW/sub L/ and FW/sub H/ in the literature. Their extraction and characterization could be of great value to understand the woman's uterine activity, particularly for the medical diagnosis of preterm delivery.","PeriodicalId":395542,"journal":{"name":"Proceedings of the IEEE-SP International Symposium on Time-Frequency and Time-Scale Analysis (Cat. No.98TH8380)","volume":" 362","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1998-10-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120826659","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}
引用次数: 12
Nonstationary parametric system identification using higher-order statistics 非平稳参数系统的高阶统计辨识
Proceedings of the IEEE-SP International Symposium on Time-Frequency and Time-Scale Analysis (Cat. No.98TH8380) Pub Date : 1998-10-06 DOI: 10.1109/TFSA.1998.721460
Donghae Kim, P. White
{"title":"Nonstationary parametric system identification using higher-order statistics","authors":"Donghae Kim, P. White","doi":"10.1109/TFSA.1998.721460","DOIUrl":"https://doi.org/10.1109/TFSA.1998.721460","url":null,"abstract":"In this paper, consideration is given to the estimation of the parameters of a time-varying linear model. It is shown that the time-varying ARMA model of single-input single-output (SISO) system is equivalent to the time-invariant ARMA model of multi-input multi-output (MIMO) system. Novel methods for the parameter estimation task are developed based on the concepts of higher order statistics (HOS). The proposed algorithms are compared with a range of existing (second order) algorithms via simulation studies which cover several systems at various signal to noise ratios (SNRs). Through these studies, the robustness of the HOS based algorithms to additive Gaussian noise is demonstrated.","PeriodicalId":395542,"journal":{"name":"Proceedings of the IEEE-SP International Symposium on Time-Frequency and Time-Scale Analysis (Cat. No.98TH8380)","volume":"46 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":"125960978","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}
引用次数: 0
Wavelet transform-based strain estimator for medical imaging 基于小波变换的医学成像应变估计
Proceedings of the IEEE-SP International Symposium on Time-Frequency and Time-Scale Analysis (Cat. No.98TH8380) Pub Date : 1998-10-06 DOI: 10.1109/TFSA.1998.721362
Mehmet Bilgen, Michael F. Insana, Larry T. Cook
{"title":"Wavelet transform-based strain estimator for medical imaging","authors":"Mehmet Bilgen, Michael F. Insana, Larry T. Cook","doi":"10.1109/TFSA.1998.721362","DOIUrl":"https://doi.org/10.1109/TFSA.1998.721362","url":null,"abstract":"A new signal processing algorithm based on a wavelet transform (WT) is proposed for instantaneous strain estimation in acoustic elastography, where the interior elasticity distribution of a biological tissue is imaged. The proposed estimator weights ultrasonic echo signals acquired before tissue compression by a Gaussian window function and uses the resulting waveform as a mother wavelet to calculate the WT of the postcompression signal. Strain is estimated from the location of the WT peak in the time-frequency domain. To analyze the performance of the proposed estimator, strain errors are investigated. Estimates are shown to be unbiased while variances depend on the echo signal-to-noise ratio, bandwidth, time-bandwidth product, and the applied strain. The results are compared with those obtained from the current strain estimator based on time-delay estimates. The proposed estimator has the advantage of producing unbiased strain estimates with greater precision and potentially higher spatial resolution, dynamic range and sensitivity at the expense of increased computation time.","PeriodicalId":395542,"journal":{"name":"Proceedings of the IEEE-SP International Symposium on Time-Frequency and Time-Scale Analysis (Cat. No.98TH8380)","volume":"107 3 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":"129918647","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}
引用次数: 0
Trained wavelets used to detect epileptic spikes 经过训练的小波，用于检测癫痫的尖峰
Proceedings of the IEEE-SP International Symposium on Time-Frequency and Time-Scale Analysis (Cat. No.98TH8380) Pub Date : 1998-10-06 DOI: 10.1109/TFSA.1998.721417
Stefan Popescu Ph.
{"title":"Trained wavelets used to detect epileptic spikes","authors":"Stefan Popescu Ph.","doi":"10.1109/TFSA.1998.721417","DOIUrl":"https://doi.org/10.1109/TFSA.1998.721417","url":null,"abstract":"Although many authors developed different methods for automatic detection of epileptic spikes, so far a method for clinical routine has not yet evolved. Moreover the ambiguous definition of these waves makes the detection more difficult. This paper presents a new procedure to automatically detect and localise the interictal epileptic spikes based on their shape and duration. We used the discrete wavelet transform based on many trained children of a mother wavelet function to build a two-dimensional discrete wavelet spectrum. We suggest thereafter to use this spectrum in order to localise the spikes and to measure their duration. By filtering the spectrum one can easily achieve the automatic spike selection based on a duration criterion. To train the wavelets we used the conjugate gradient method commonly used until now in the field of artificial neural networks.","PeriodicalId":395542,"journal":{"name":"Proceedings of the IEEE-SP International Symposium on Time-Frequency and Time-Scale Analysis (Cat. No.98TH8380)","volume":"60 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":"132442569","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}
引用次数: 7
A Gauss-Markov model formulation for the estimation of ARMA model of time-varying signals and systems 时变信号和系统ARMA模型估计的高斯-马尔可夫模型
Proceedings of the IEEE-SP International Symposium on Time-Frequency and Time-Scale Analysis (Cat. No.98TH8380) Pub Date : 1998-10-06 DOI: 10.1109/TFSA.1998.721510
K. M. Malladi, R.V.R. kumar, K. V. Rao
{"title":"A Gauss-Markov model formulation for the estimation of ARMA model of time-varying signals and systems","authors":"K. M. Malladi, R.V.R. kumar, K. V. Rao","doi":"10.1109/TFSA.1998.721510","DOIUrl":"https://doi.org/10.1109/TFSA.1998.721510","url":null,"abstract":"A Gauss-Markov model is formulated to estimate the model of a non-stationary signal. The time-varying parameters of the model are modelled as stochastic processes. A time-varying ARMA model is considered to represent the non-stationary process. Furthermore, in this work, a unified method for the optimal estimation of both the time-varying parameters and their corresponding stochastic model parameters is presented. This method utilises the proposed Gauss-Markov model for the estimation process through the extended Kalman filter (EKF).","PeriodicalId":395542,"journal":{"name":"Proceedings of the IEEE-SP International Symposium on Time-Frequency and Time-Scale Analysis (Cat. No.98TH8380)","volume":"28 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":"131652864","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}
引用次数: 4
Automatic classification of the temporomandibular joint sounds using scale and time-shift invariant representation of their time-frequency distributions 使用时频分布的标度和时移不变表示的颞下颌关节声音自动分类
Proceedings of the IEEE-SP International Symposium on Time-Frequency and Time-Scale Analysis (Cat. No.98TH8380) Pub Date : 1998-10-06 DOI: 10.1109/TFSA.1998.721412
Kok Pin Yang, D. Djurdjanović, K. H. Koh, W. J. Williams, S. Widmalm
{"title":"Automatic classification of the temporomandibular joint sounds using scale and time-shift invariant representation of their time-frequency distributions","authors":"Kok Pin Yang, D. Djurdjanović, K. H. Koh, W. J. Williams, S. Widmalm","doi":"10.1109/TFSA.1998.721412","DOIUrl":"https://doi.org/10.1109/TFSA.1998.721412","url":null,"abstract":"Stethoscope auscultation can ascertain the presence of abnormal temporomandibular joint (TMJ) sounds, but auscultatory findings are inherently subjective and difficult to document for accurate comparison of diagnoses among different clinicians, or within the same patient over time. Time-frequency analysis of the TMJ sounds using reduced interference distributions (RIDs) indicate that several types of sounds can be correlated to TMJ pathology. The nearest neighbor (NN) and a previously introduced nearest linear combination (NLC) and nearest constrained linear combination (NCLC) pattern recognition methods are tested and mutually compared. Scale and time-shift invariant representations (STIRs) of the TMJ sound RIDs were used in order to perform their automatic classification. Results imply that linear combinations improved classification of the RIDs of TMJ sound.","PeriodicalId":395542,"journal":{"name":"Proceedings of the IEEE-SP International Symposium on Time-Frequency and Time-Scale Analysis (Cat. No.98TH8380)","volume":"94 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":"126410060","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}
引用次数: 5
Weighted least-squares implementation of Cohen-Posch time frequency distributions with specified conditional and joint moment constraints 具有特定条件和联合矩约束的Cohen-Posch时频分布的加权最小二乘实现
Proceedings of the IEEE-SP International Symposium on Time-Frequency and Time-Scale Analysis (Cat. No.98TH8380) Pub Date : 1998-10-06 DOI: 10.1109/TFSA.1998.721421
M.K. Emresoy, P. Loughlin
{"title":"Weighted least-squares implementation of Cohen-Posch time frequency distributions with specified conditional and joint moment constraints","authors":"M.K. Emresoy, P. Loughlin","doi":"10.1109/TFSA.1998.721421","DOIUrl":"https://doi.org/10.1109/TFSA.1998.721421","url":null,"abstract":"A positivity constrained iterative weighted least-squares (WLS) method for constructing nonnegative joint time-frequency distributions (i.e., Cohen-Posch TFDs) satisfying marginal, joint moment, conditional moment and generalized marginal constraints is developed. The new algorithm solves the \"leakage\" problem of the least-squares approach and is computationally faster. It is also more computationally efficient than the MCE implementation of these constraints, developed by Loughlin, Pitton and Atlas (1994).","PeriodicalId":395542,"journal":{"name":"Proceedings of the IEEE-SP International Symposium on Time-Frequency and Time-Scale Analysis (Cat. No.98TH8380)","volume":"259 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":"116144256","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}
引用次数: 1
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