{"title":"Improved spread-spectrum communication with a wavelet packet based transceiver","authors":"A. Lindsey","doi":"10.1109/TFSA.1996.550081","DOIUrl":"https://doi.org/10.1109/TFSA.1996.550081","url":null,"abstract":"In a previous work by Lindsey (see PhD. Dissertation, Ohio University, 1994) wavelet packet modulation was introduced as a viable coding and M-ary orthogonal modulation strategy for improved communication performance, especially in scenarios where traditional quadrature amplitude modulation (QAM) is currently in use. A most important application of wavelet packet modulation is in direct sequence spread spectrum communications, where the chip symbols determined by the pseudo-noise sequence are constructed with both time and frequency dimensionality. In traditional DSPN, the wide bandwidth of the symbols causes problems in the presence of frequency-domain noise where all chip symbols are corrupted, but the time-frequency dimensionality of spread spectrum wavelet packet modulation (SSWPM) has immediate advantages in mitigating the effects of narrowband jammers and time impulses, where only a fraction of the chip symbols are corrupted.","PeriodicalId":415923,"journal":{"name":"Proceedings of Third International Symposium on Time-Frequency and Time-Scale Analysis (TFTS-96)","volume":"143 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1996-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131607674","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":"Ridges associated to continuous linear time-frequency representations of asymptotic and transient signals","authors":"R. Kronland-Martinet, P. Guillemain","doi":"10.1109/TFSA.1996.547210","DOIUrl":"https://doi.org/10.1109/TFSA.1996.547210","url":null,"abstract":"In most fields of experimental physics, signals to be considered possess evolutive spectral characteristics. This situation is encountered for instance when one deals with acoustic signals, from musical sounds to nondestructive evaluation (Guillemain and Kronland-Martinet, 1996). The characterization of such signals is improved if time-frequency techniques are used. The representations obtained this way lead to a qualitative description of the signals and suffer of internal constraints that can introduce a kind of missunderstanding. In this paper, we shall briefly present techniques allowing a quantitative description of signals being a sum of amplitude and frequency modulated components. We shall only consider here monocomponent signals, the generalization to multicomponent signals as well as the algorithmic aspects being given previously (Guillemain and Kronland-Martinet, 1996).","PeriodicalId":415923,"journal":{"name":"Proceedings of Third International Symposium on Time-Frequency and Time-Scale Analysis (TFTS-96)","volume":"79 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1996-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132230357","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":"An iterative technique to design 2D QMF banks under constraints by the method of Lagrange multipliers","authors":"M.M. Nafati, H. Vu-thien","doi":"10.1109/TFSA.1996.546688","DOIUrl":"https://doi.org/10.1109/TFSA.1996.546688","url":null,"abstract":"In order to design 2D FIR filters for near-perfect reconstruction, we study an iterative technique for designing 2D QMF banks without loosening the constraint of filter size. This technique allows one to solve the problem of the nonlinearity of the reconstruction equations and offers the possibility of introducing constraints derived from these equations by the method of Lagrange multipliers. We provide the algorithm and results of this technique in the case of orthogonal and staggered sampling structures. The proposed method is efficient and permits one to obtain near-perfect reconstruction filter banks. These produce good reconstructed images in color television images.","PeriodicalId":415923,"journal":{"name":"Proceedings of Third International Symposium on Time-Frequency and Time-Scale Analysis (TFTS-96)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1996-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115746034","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":"Continuously evolving classification using time-varying AR modeling","authors":"T. Robert, C. Mialhes","doi":"10.1109/TFSA.1996.547458","DOIUrl":"https://doi.org/10.1109/TFSA.1996.547458","url":null,"abstract":"Continuously evolving classification is an important problem in pattern recognition applications. This paper deals with continuously evolving classification of signals subjected to an abrupt, change. This can be considered as a two-category classification problem: before an instant N/sub r/ the signal under study belongs to one class, after N/sub r/, it belongs to another one. The aim of our study is to understand the continuously evolving classification behavior when applied to this kind of signals. In this paper, a time-varying autoregressive modeling using Walsh functions (TVARW) is presented and the model parameters are used to classify signals subjected to abrupt changes. This model is compared with other classical autoregressive ones. It is shown that this modeling gives better classifying results than the other ones.","PeriodicalId":415923,"journal":{"name":"Proceedings of Third International Symposium on Time-Frequency and Time-Scale Analysis (TFTS-96)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1996-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115310148","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":"Wigner-Ville distribution decomposition via wavelet packet transform","authors":"Minsheng Wang, A.I. Chan, C. Chui","doi":"10.1109/TFSA.1996.550080","DOIUrl":"https://doi.org/10.1109/TFSA.1996.550080","url":null,"abstract":"A new time-frequency distribution is proposed in this paper. It is based on a combination of the Wigner-Ville distribution (WVD) decomposition and the wavelet packet transform. First, the input signal is optimally decomposed into frequency bands by a best basis selection. Then, each subsignal within a frequency band is represented by the WVD decomposition. Finally, the proposed decomposition is obtained by incorporating with these WVD representations. The proposed distribution keeps the high resolution of WVD, while inducing low interferences which are decoupled by the involved wavelet packet transform.","PeriodicalId":415923,"journal":{"name":"Proceedings of Third International Symposium on Time-Frequency and Time-Scale Analysis (TFTS-96)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1996-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115424457","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 inherent limitations in localizing step-like singularities in a continuous signal","authors":"A. Bartov, H. Messer","doi":"10.1109/TFSA.1996.546676","DOIUrl":"https://doi.org/10.1109/TFSA.1996.546676","url":null,"abstract":"The Cramer-Rao lower bound (CRLB) on the estimation error of the time of arrival of a continuous waveform with step-like singularities cannot be evaluated directly. Other performance bounds result in expressions which ignore the effect of finite processing band on the achievable performance. This paper presents a close-form expression for a Cramer-Rao type bound which describes the achievable performance of a processor of finite bandwidth in localizing a continuous signal with a step-like singularity in noise. The bound is put in terms of a wavelet expansion of the signal. Employing results from the theory of the wavelet transform, this expression is used to study inherent limitation, of the estimation problem. The validity of the analysis is verified by comparing it to the performance of the optimal processor, using Monte-Carlo simulations.","PeriodicalId":415923,"journal":{"name":"Proceedings of Third International Symposium on Time-Frequency and Time-Scale Analysis (TFTS-96)","volume":"54 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1996-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124537516","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":"The discrete fractional Fourier transformation","authors":"O. Arikan, M. Kutay, H. Ozaktas, O.K. Akdemir","doi":"10.1109/TFSA.1996.547217","DOIUrl":"https://doi.org/10.1109/TFSA.1996.547217","url":null,"abstract":"Based on the fractional Fourier transformation of sampled periodic functions, the discrete form of the fractional Fourier transformation is obtained. It is found that for a certain dense set of fractional orders it is possible to define a discrete transformation. Also, for its efficient computation a fast algorithm, which has the same complexity as the FFT, is given.","PeriodicalId":415923,"journal":{"name":"Proceedings of Third International Symposium on Time-Frequency and Time-Scale Analysis (TFTS-96)","volume":"55 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1996-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125992413","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 1/f processes","authors":"E. Shusterman, M. Feder","doi":"10.1109/TFSA.1996.547216","DOIUrl":"https://doi.org/10.1109/TFSA.1996.547216","url":null,"abstract":"1/f processes can be very useful in modeling processes with long term correlation. We propose a simple yet efficient algorithm for analysis and synthesis of these processes. Unlike previous techniques, our analysis procedure generates uncorrelated decomposition coefficients for the 1/f process. This is done by taking into account, and then removing, the residual correlation between the wavelet components. The analysis procedure is the major contribution of this work. The proposed synthesis algorithm, which is a by-product of the proposed analysis algorithm, is competitive with other techniques. These procedures can be very useful in different fractal signal processing applications.","PeriodicalId":415923,"journal":{"name":"Proceedings of Third International Symposium on Time-Frequency and Time-Scale Analysis (TFTS-96)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1996-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125454129","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":"Hybrid linear/bilinear time-scale analysis","authors":"M. Pasquier, P. Gonçalves, Richard Baraniuk","doi":"10.1109/TFSA.1996.550105","DOIUrl":"https://doi.org/10.1109/TFSA.1996.550105","url":null,"abstract":"We introduce a new method for the time-scale analysis of nonstationary signals. Our work leverages the success of the \"time-frequency distribution series/cross-term deleted representations\" into the time-scale domain to match wide-band signals that are not well modeled in terms of time and frequency shifts. Using a wavelet decomposition and the Bertrand (see J. Math. Phys., vol.33, p.2515-27, 1992) time-scale distribution, we locally balance linearity and bilinearity in order to provide good resolution while suppressing troublesome interference components. The theory of frames provides a unifying perspective and leads us to insights into the cross-term deleted representations.","PeriodicalId":415923,"journal":{"name":"Proceedings of Third International Symposium on Time-Frequency and Time-Scale Analysis (TFTS-96)","volume":"89 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1996-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129181329","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}
H. Bolcskei, G. Feichtinger, K. Grōchenig, F. Hlawatsch
{"title":"Discrete-time Wilson expansions","authors":"H. Bolcskei, G. Feichtinger, K. Grōchenig, F. Hlawatsch","doi":"10.1109/TFSA.1996.550108","DOIUrl":"https://doi.org/10.1109/TFSA.1996.550108","url":null,"abstract":"It has been shown that continuous-time orthonormal Wilson bases with good time-frequency localization can be constructed. We introduce and discuss discrete-time Wilson function sets and frames, and we show that Wilson sets and frames (potentially oversampled) can be derived from Weyl-Heisenberg sets and frames. We also show that discrete-time Wilson expansions correspond to a new class of cosine-modulated filter banks.","PeriodicalId":415923,"journal":{"name":"Proceedings of Third International Symposium on Time-Frequency and Time-Scale Analysis (TFTS-96)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1996-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114906698","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}