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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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Performance analysis of the DS/SS communications receiver implementing a short time Fourier transform interference excision system 实现短时傅里叶变换干扰去除系统的DS/SS通信接收机性能分析
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.1998.721444
X. Ouyang, M. Amin
{"title":"Performance analysis of the DS/SS communications receiver implementing a short time Fourier transform interference excision system","authors":"X. Ouyang, M. Amin","doi":"10.1109/TFSA.1998.721444","DOIUrl":"https://doi.org/10.1109/TFSA.1998.721444","url":null,"abstract":"The short-time Fourier transform (STFT) is employed for nonstationary jammer excision in direct sequence spread spectrum (DS/SS) communication systems. The received signal is first analyzed by the STFT. The localized interferers in the time-frequency (t-f) domain are then removed by binary excisions. Finally, the synthesized signal is correlated with the PN sequence and passed to the detector. The selection of both the data window and the distribution of the binary excision values in the t-f domain are key to effective removal of the jammer with a minimum distortion of the DS/SS communication signal. Proper data windows localize the interference in as few t-f bins as possible, whereas good binary excision assigns zero values to only those t-f bins contaminated by the jammer t-f signature. The closed form expression of the receiver SNR is derived as a function of the binary excision values in the t-f domain. The specific cases of impulsive and sinusoidal jammers are analyzed.","PeriodicalId":395542,"journal":{"name":"Proceedings of the IEEE-SP International Symposium on Time-Frequency and Time-Scale Analysis (Cat. No.98TH8380)","volume":"249 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":"124734361","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: 6
Research of stationary partitions in nonstationary processes by measurement of spectral distance with the help of nondyadic Malvar's decomposition 利用非二进马尔瓦尔分解的光谱距离测量研究非平稳过程中的平稳分区
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.1998.721453
P. Carré, C. Fernandez-Maloigne
{"title":"Research of stationary partitions in nonstationary processes by measurement of spectral distance with the help of nondyadic Malvar's decomposition","authors":"P. Carré, C. Fernandez-Maloigne","doi":"10.1109/TFSA.1998.721453","DOIUrl":"https://doi.org/10.1109/TFSA.1998.721453","url":null,"abstract":"In this article, we propose a simple algorithm allowing the research of stationary partitions in locally stationary processes, by use of adapted local bases like the local DCT or the short-time Fourier transform. The algorithm aims at finding some windows of which width is adapted to the rate of change in the spectrum. A similar approach was proposed by Adak (1995), who detected changes over time in the spectra of the process to select a data-dependent window size. The same principle is used in our algorithm, with a more robust estimation of the difference in spectra than Adak. After denoising of the periodogram with the help of the undecimated wavelet transform, we consider the \"symmetrical case\" in the best partition selection method. A post-treatment permits us to deal with the nonuniform partitions.","PeriodicalId":395542,"journal":{"name":"Proceedings of the IEEE-SP International Symposium on Time-Frequency and Time-Scale Analysis (Cat. No.98TH8380)","volume":"49 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":"124908013","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
Perceptual normalized subband image restoration 感知归一化子带图像恢复
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.1998.721463
Zhuoer Shi, G. Wei, D. Kouri, D. Hoffman
{"title":"Perceptual normalized subband image restoration","authors":"Zhuoer Shi, G. Wei, D. Kouri, D. Hoffman","doi":"10.1109/TFSA.1998.721463","DOIUrl":"https://doi.org/10.1109/TFSA.1998.721463","url":null,"abstract":"A perceptual normalized image restoration method is proposed to account for the response sensitivity of the human vision system. A special weighting matrix is introduced to remove perceptual redundancy and achieve excellent visual performance. Our algorithm is based on a biorthogonal interpolating wavelet transform and corresponding filters are generated using Gaussian-Lagrange distributed approximating functionals (DAFs) via a lifting scheme.","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":"122116140","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 maximum likelihood subspectrum 最大似然子谱
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.1998.721447
J. Piper
{"title":"A maximum likelihood subspectrum","authors":"J. Piper","doi":"10.1109/TFSA.1998.721447","DOIUrl":"https://doi.org/10.1109/TFSA.1998.721447","url":null,"abstract":"This paper exploits the capabilities of the maximum likelihood method to detect an unknown number of low-level signals in the neighborhood of a high-power signal.","PeriodicalId":395542,"journal":{"name":"Proceedings of the IEEE-SP International Symposium on Time-Frequency and Time-Scale Analysis (Cat. No.98TH8380)","volume":"1 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":"122869219","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
Detecting periodic behaviour in nonstationary signals 检测非平稳信号的周期性行为
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.1998.721470
V. Venkatachalam, J. Aravena
{"title":"Detecting periodic behaviour in nonstationary signals","authors":"V. Venkatachalam, J. Aravena","doi":"10.1109/TFSA.1998.721470","DOIUrl":"https://doi.org/10.1109/TFSA.1998.721470","url":null,"abstract":"This paper presents results on the multiresolution analysis of nonstationary signals with the objective of detecting underlying periodic phenomena. Wavelet packet analysis with coefficient thresholding is the basis for the detection. The effectiveness of the method is illustrated by analyzing experimental data on sediment electrochemical redox potential in a tidal microcosm. The significance of the technique is that it can extract periodic phenomena from experimental data corrupted by catastrophic and random events, provide a signature of the basic periodic component, and give an estimate of the degree of deviation from periodic behaviour. Consequently, it has potential applications in the analysis of quasi-periodic signals such as electrocardiograms (ECGs), where the determination of the extent of quasi-periodicity is of critical importance.","PeriodicalId":395542,"journal":{"name":"Proceedings of the IEEE-SP International Symposium on Time-Frequency and Time-Scale Analysis (Cat. No.98TH8380)","volume":"292 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":"124275893","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 feature extraction algorithm based on wavelet packet decomposition for heart sound signals 基于小波包分解的心音信号特征提取算法
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.1998.721369
H. Liang, I. Nartimo
{"title":"A feature extraction algorithm based on wavelet packet decomposition for heart sound signals","authors":"H. Liang, I. Nartimo","doi":"10.1109/TFSA.1998.721369","DOIUrl":"https://doi.org/10.1109/TFSA.1998.721369","url":null,"abstract":"In this paper, a feature extraction algorithm based on the wavelet packet decomposition (WPD) method was developed for the heart sound signals. Feature vectors obtained were used to classify the heart sound signals into physiological and pathological murmurs. The classification using a neural network method indicated a 85 percent accuracy. This could be an effective assistance for medical doctors to make their final diagnoses.","PeriodicalId":395542,"journal":{"name":"Proceedings of the IEEE-SP International Symposium on Time-Frequency and Time-Scale Analysis (Cat. No.98TH8380)","volume":"63 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":"125756340","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: 67
Fractional autocorrelation and its application to detection and estimation of linear FM signals 分数阶自相关及其在线性调频信号检测和估计中的应用
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.1998.721399
O. Akay, G. Boudreaux-Bartels
{"title":"Fractional autocorrelation and its application to detection and estimation of linear FM signals","authors":"O. Akay, G. Boudreaux-Bartels","doi":"10.1109/TFSA.1998.721399","DOIUrl":"https://doi.org/10.1109/TFSA.1998.721399","url":null,"abstract":"We present an alternative, efficient implementation of fractional autocorrelation. The algorithm utilizes the fast discrete approximation of the fractional Fourier transform (FRFT) along with the FFT algorithm. We relate fractional autocorrelation with radial slices of the narrowband ambiguity function (AF) and demonstrate that relationship with simulation examples. We also show that fractional autocorrelation is related to a detection statistic previously proposed for detection of multicomponent linear FM signals. Since our fractional autocorrelation based detection algorithm does not require the calculation of either the AF or the Radon transform, we propose its use as a computationally fast alternative for detecting linear FM signals and estimating their chirp rates.","PeriodicalId":395542,"journal":{"name":"Proceedings of the IEEE-SP International Symposium on Time-Frequency and Time-Scale Analysis (Cat. No.98TH8380)","volume":"172 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":"121330009","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: 13
Interference excision in DSSS communication system using time-frequency adaptive block transform 时频自适应块变换在DSSS通信系统中的应用
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.1998.721442
J. Horng, R. Haddad
{"title":"Interference excision in DSSS communication system using time-frequency adaptive block transform","authors":"J. Horng, R. Haddad","doi":"10.1109/TFSA.1998.721442","DOIUrl":"https://doi.org/10.1109/TFSA.1998.721442","url":null,"abstract":"An adaptive time-frequency interference exciser based on block transform packets for a DSSS communication system is presented. In this technique, a succession of time-frequency distributions for each frame of data is calculated. From this distribution, the location and shape of the most energetic time-frequency tile is found along with its associated basis function. The projection of the signal onto this basis function is then subtracted from the original signal to form a residual. This process is repeated on the residual signal until the resulting time-frequency spectrum is flat. This scheme substantially reduces the interference power with minimum possible distortion of the desired spread spectrum signal. Our simulations demonstrate that the proposed adaptive time-frequency excision method dramatically outperforms the existing transform domain based excisers for narrowband and time-localized jamming signals.","PeriodicalId":395542,"journal":{"name":"Proceedings of the IEEE-SP International Symposium on Time-Frequency and Time-Scale Analysis (Cat. No.98TH8380)","volume":"24 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":"122297931","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: 3
Instantaneous frequency estimation of polynomial phase signals 多项式相位信号的瞬时频率估计
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.1998.721483
F. Çakrak, P. Loughlin
{"title":"Instantaneous frequency estimation of polynomial phase signals","authors":"F. Çakrak, P. Loughlin","doi":"10.1109/TFSA.1998.721483","DOIUrl":"https://doi.org/10.1109/TFSA.1998.721483","url":null,"abstract":"We develop a new multi-window time-frequency method for estimating the instantaneous frequency (IF) of constant amplitude polynomial FM signals in the presence of noise. The method is computationally simple, asymptotically unbiased for noise-free signals, and provides a signal to noise ratio (SNR) threshold improvement of about 3 dB over other estimators, including the cross-polynomial Wigner time-frequency method (X-PWVD), for quadratic and cubic FM signals.","PeriodicalId":395542,"journal":{"name":"Proceedings of the IEEE-SP International Symposium on Time-Frequency and Time-Scale Analysis (Cat. No.98TH8380)","volume":"164 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":"127423419","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
Optimal kernels of time-frequency representations for signal classification 信号分类时频表示的最优核
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.1998.721491
M. Davy, C. Doncarli
{"title":"Optimal kernels of time-frequency representations for signal classification","authors":"M. Davy, C. Doncarli","doi":"10.1109/TFSA.1998.721491","DOIUrl":"https://doi.org/10.1109/TFSA.1998.721491","url":null,"abstract":"The use of distances between time-frequency representations (TFRs) has led to a time-frequency formulation of the problem of non-stationary signals classification. We propose a new method based upon the optimization of the TFR, remaining in the Cohen's group. We show that a radially Gaussian kernel and a Fisher-like contrast criterion provide improved classification results.","PeriodicalId":395542,"journal":{"name":"Proceedings of the IEEE-SP International Symposium on Time-Frequency and Time-Scale Analysis (Cat. No.98TH8380)","volume":"47 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":"133791780","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: 37
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