{"title":"Canonical time-frequency processing for broadband signaling over dispersive channels","authors":"A. Sayeed","doi":"10.1109/TFSA.1998.721438","DOIUrl":"https://doi.org/10.1109/TFSA.1998.721438","url":null,"abstract":"Even though broadband signaling and reception is often employed in practice for communication over time- and frequency-dispersive channels, existing receiver designs do not fully exploit the advantage of broadband signaling. We introduce a framework for time-frequency processing that is dictated by a canonical characterization of linear dispersive channels and fully utilizes the advantage of broadband signaling. The framework is based on processing in a natural time-frequency subspace defined by orthogonal time-frequency shifted copies of the transmitted broadband waveform. It generalizes existing receivers and suggests new designs that promise substantially improved performance compared to existing systems.","PeriodicalId":395542,"journal":{"name":"Proceedings of the IEEE-SP International Symposium on Time-Frequency and Time-Scale Analysis (Cat. No.98TH8380)","volume":"77 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":"132829135","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":"Invertible time-frequency surfaces","authors":"D. Nelson","doi":"10.1109/TFSA.1998.721349","DOIUrl":"https://doi.org/10.1109/TFSA.1998.721349","url":null,"abstract":"A classical problem in time-frequency (TF) analysis is the inversion of a TF surface to recover a signal whose TF representation is that surface. A class of invertible surfaces is presented. In this class, simple processes may be used to recover the signal and \"spectrum\" directly from the surface. These surfaces are linear generalizations of one-dimensional linear transforms, and may be complex valued. It is shown that several of the paradoxes associated with nonlinear surfaces may be resolved in invertible surfaces.","PeriodicalId":395542,"journal":{"name":"Proceedings of the IEEE-SP International Symposium on Time-Frequency and Time-Scale Analysis (Cat. No.98TH8380)","volume":"21 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":"132898063","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":"Block transform packets-an efficient approach to time-frequency decomposition","authors":"J. Horng, R. Haddad","doi":"10.1109/TFSA.1998.721508","DOIUrl":"https://doi.org/10.1109/TFSA.1998.721508","url":null,"abstract":"A block transform packet (BTP) is an orthonormal block transform which represents an arbitrary tiling of the time-frequency plane. This paper describes procedures for synthesizing BTPs with desirable time-frequency localization from conventional block transforms while maintaining the computational progenitor transforms. Time localizable block transform packets (TLBT) are constructed from the DCT while the dual frequency localizable block transform packets are synthesized starting with the time-localized Kronecker delta basis sequences. The BTP can represent a time-varying decomposition tree but requires no transition or boundary filters. This decomposition is an efficient alternative to wavelet packet decomposition. Three examples are developed to illustrate the procedure and demonstrate the enhanced compression properties of the TLBT.","PeriodicalId":395542,"journal":{"name":"Proceedings of the IEEE-SP International Symposium on Time-Frequency and Time-Scale Analysis (Cat. No.98TH8380)","volume":"89 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":"134060667","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":"Instantaneous frequency of mono and multicomponent signals","authors":"P. M. Oliveira, V. Barroso","doi":"10.1109/TFSA.1998.721372","DOIUrl":"https://doi.org/10.1109/TFSA.1998.721372","url":null,"abstract":"It has often been reported and is now well established that the traditional definition of instantaneous frequency (IF/sub t/) fails in the presence of multicomponent signals. New definitions of IF/sub t/ have been proposed, in an attempt to cope with the difficulties of the traditional one. We address the reasons for failure of the traditional definition, show that it can also fail with monocomponent signals, and show how its behaviour can be predicted for any type of signal, thus generalizing previous results. We also analyse the performance in noise of one of the previously proposed definitions of IF/sub t/.","PeriodicalId":395542,"journal":{"name":"Proceedings of the IEEE-SP International Symposium on Time-Frequency and Time-Scale Analysis (Cat. No.98TH8380)","volume":"29 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":"122656704","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":"Blind source separation using the spatial ambiguity functions","authors":"M. Amin, A. Belouchrani","doi":"10.1109/TFSA.1998.721449","DOIUrl":"https://doi.org/10.1109/TFSA.1998.721449","url":null,"abstract":"Blind source separation consists of recovering a set of signals of which only instantaneous linear mixtures are observed. This problem has been typically solved using statistical information available on source signals. Previously, we have introduced spatial time-frequency (t-f) distributions as a new and effective alternative to separate sources whose signatures are different in the t-f domain. This paper presents a new blind source separation method, exploiting difference in the ambiguity-domain signatures of the sources. The approach is based on the diagonalization of a combined set of spatial ambiguity functions. In contrast to existing techniques, the proposed approach allows the separation of Gaussian sources with identical spectral shape but with different ambiguity domain localization properties.","PeriodicalId":395542,"journal":{"name":"Proceedings of the IEEE-SP International Symposium on Time-Frequency and Time-Scale Analysis (Cat. No.98TH8380)","volume":"169 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":"115538754","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 and time-scale representation of wireless communication channels","authors":"A. Bircan, S. Tekinay, A. Akansu","doi":"10.1109/TFSA.1998.721439","DOIUrl":"https://doi.org/10.1109/TFSA.1998.721439","url":null,"abstract":"Time-frequency and time-scale representation techniques play an important role for wireless communication applications where the channel is a time-varying system. It is shown in this paper that those variations can be tracked by a dynamic spectral multiresolution analysis. We also quantify the effects of channel parameters on bandwidth efficiency of wireless channel this paper.","PeriodicalId":395542,"journal":{"name":"Proceedings of the IEEE-SP International Symposium on Time-Frequency and Time-Scale Analysis (Cat. No.98TH8380)","volume":"39 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":"114164485","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":"Application of the momentary Fourier transform to SIFFT SAR processing","authors":"S. Albrecht, I. Cumming","doi":"10.1109/TFSA.1998.721475","DOIUrl":"https://doi.org/10.1109/TFSA.1998.721475","url":null,"abstract":"This paper considers a case of radar processing which requires highly-overlapped inverse DFTs. This case arises in burst-mode synthetic aperture radar (SAR), where the time-varying spectral properties of the received data requires that IDFTs be located at specific points in the spectral domain. The inverse moving Fourier transform is introduced, and it is shown how it can be more efficient than the FFT in this radar application.","PeriodicalId":395542,"journal":{"name":"Proceedings of the IEEE-SP International Symposium on Time-Frequency and Time-Scale Analysis (Cat. No.98TH8380)","volume":"97 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":"115222755","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":"Design of optimal lifting wavelet filters for data compression","authors":"K. Kuzume, K. Niijima","doi":"10.1109/TFSA.1998.721429","DOIUrl":"https://doi.org/10.1109/TFSA.1998.721429","url":null,"abstract":"This paper presents a new method to design wavelet filters optimized for time-series data compression. The features of these filters, called signal adapting lifting wavelet filters, are to vanish the wavelet coefficients, adapting to the input signals by tuning free parameters contained in the lifting scheme. Newly constructed filters are almost compactly supported and are perfect reconstruction filters. By using the adaptive filters, we demonstrate an application to electrocardiogram (ECG) data compression and confirm the performance of the proposed method.","PeriodicalId":395542,"journal":{"name":"Proceedings of the IEEE-SP International Symposium on Time-Frequency and Time-Scale Analysis (Cat. No.98TH8380)","volume":"16 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":"115327060","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":"Performance analysis of generalized modified order statistics CFAR detectors","authors":"Kyung-Tae Jung, Hyung-Myung Kim","doi":"10.1109/TFSA.1998.721476","DOIUrl":"https://doi.org/10.1109/TFSA.1998.721476","url":null,"abstract":"Generalized order statistic cell averaging (GOSCA), generalized order statistic greatest of (GOSGO), and generalized order statistic smallest of (GOSSO) CFAR detectors are proposed. Each of them has its own advantages according to radar environment situations so that most effective radar detector can be chosen at any unpredictive situation. Their performance formulas in terms of the false alarm probability and detection probability are derived. From the performance analysis, the GOSCA CFAR detector is the best in a homogeneous situation, the GOSGO CFAR detector in clutter region near the clutter edges, and the GOSSO in the clear region close to the clutter boundary and interfering targets situation. A new window structure to eliminate the fatal problem in GOSSO CFAR detector in clutter regions is also proposed. The false alarm probability of the proposed window structure performance is compared with conventional window structure.","PeriodicalId":395542,"journal":{"name":"Proceedings of the IEEE-SP International Symposium on Time-Frequency and Time-Scale Analysis (Cat. No.98TH8380)","volume":"38 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":"115710229","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 multiresolution image denoising schemes using generalized-Gaussian priors","authors":"P. Moulin, Juan Liu","doi":"10.1109/TFSA.1998.721504","DOIUrl":"https://doi.org/10.1109/TFSA.1998.721504","url":null,"abstract":"We investigate various connections between wavelet shrinkage methods in image processing and Bayesian estimation using generalized-Gaussian priors. We present fundamental properties of the shrinkage rules implied by the generalized-Gaussian and other heavy-tailed priors. This allows us to show a simple relationship between differentiability of the log prior at zero and the sparsity of the estimates, as well as an equivalence between universal thresholding schemes and Bayesian estimation using a certain generalized-Gaussian prior.","PeriodicalId":395542,"journal":{"name":"Proceedings of the IEEE-SP International Symposium on Time-Frequency and Time-Scale Analysis (Cat. No.98TH8380)","volume":"759 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":"126942836","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}