{"title":"Use of shift variance of the wavelet transform for signal detection","authors":"N. Erdol, F. Bao","doi":"10.1109/DSP.1994.379843","DOIUrl":"https://doi.org/10.1109/DSP.1994.379843","url":null,"abstract":"Characterizes signals according to the degree with which a time shift affects their wavelet series coefficients and develops a measure called the \"shift index\" to quantify that effect. The authors argue that the shift index can be used to locate, separate and cluster and/or detect pulse like signals with random arrival times. Examples are given to verify the established theory.<<ETX>>","PeriodicalId":189083,"journal":{"name":"Proceedings of IEEE 6th Digital Signal Processing Workshop","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1994-10-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125436352","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":"Model order estimation from covariance matrix eigenvectors","authors":"C. Davila, Chiang Hsia-Ling","doi":"10.1109/DSP.1994.379850","DOIUrl":"https://doi.org/10.1109/DSP.1994.379850","url":null,"abstract":"An algorithm for estimating pole-zero system model orders is described which looks at covariance matrix eigenvectors. When model orders are overestimated, zeros appear in the noise subspace eigenvectors. The number of zeros present can be used to estimate model orders.<<ETX>>","PeriodicalId":189083,"journal":{"name":"Proceedings of IEEE 6th Digital Signal Processing Workshop","volume":"56 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1994-10-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117303503","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":"Experimental results of a modified architecture for oversampled, subband acoustic echo cancellers","authors":"P. de Leon, D. Etter","doi":"10.1109/DSP.1994.379819","DOIUrl":"https://doi.org/10.1109/DSP.1994.379819","url":null,"abstract":"The motivation for adaptive filtering in subbands stems from two well-known problems in LMS-based fullband adaptive filtering. First, the convergence and tracking can be very slow if the input correlation matrix is ill conditioned such as that found in speech. Second, very high order adaptive filters are computationally expensive. Adaptive filtering in subbands has been proposed to overcome these problems which are commonly encountered in acoustic echo cancellation applications. One problem with this technique is the slow, asymptotic convergence associated with oversampled architectures. A modification of the analysis bank is proposed to reduce the slow asymptotic convergence. The paper presents experimental results illustrating the benefits of this modified architecture.<<ETX>>","PeriodicalId":189083,"journal":{"name":"Proceedings of IEEE 6th Digital Signal Processing Workshop","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1994-10-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126876164","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":"Tracking multiple chaotic systems from a single observed sequence","authors":"D. F. Drake, D. Williams","doi":"10.1109/DSP.1994.379872","DOIUrl":"https://doi.org/10.1109/DSP.1994.379872","url":null,"abstract":"Sequences generated by by chaotic systems have been proposed as replacements for the traditional pseudo-noise sequences used in direct-sequence spread spectrum systems. Such systems often require that the receiver maintain synchronization by tracking the sequence generated by the transmitter. A method previously introduced to track the state of a chaotic system from an observed sequence is extended to track the states of multiple, independent chaotic systems, again based on a single observed sequence. One possible use of this scheme might be in a modified code-division multiplexing arrangement where the \"codes\" are actually the outputs of chaotic systems.<<ETX>>","PeriodicalId":189083,"journal":{"name":"Proceedings of IEEE 6th Digital Signal Processing Workshop","volume":"186 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1994-10-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131637408","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":"Polyphase signals in additive and multiplicative noise: CRLB and HOS","authors":"A. Swami","doi":"10.1109/DSP.1994.379862","DOIUrl":"https://doi.org/10.1109/DSP.1994.379862","url":null,"abstract":"We derive closed-form expressions for the large sample CRLB for the estimates of the parameters of a multi-component polyphase signal observed in additive and multiplicative white Gaussian noise. In the absence of additive noise, perfect estimation may be possible (i.e., CRLB is 0) under some conditions. Extensions to the non-Gaussian and complex-valued cases are also given. The performance of some HOS-based estimators is analyzed.<<ETX>>","PeriodicalId":189083,"journal":{"name":"Proceedings of IEEE 6th Digital Signal Processing Workshop","volume":"361 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1994-10-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132677015","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":"Speech enhancement via adaptive eigenfiltering","authors":"C. Davila, M. Azmoodeh","doi":"10.1109/DSP.1994.379823","DOIUrl":"https://doi.org/10.1109/DSP.1994.379823","url":null,"abstract":"The eigenfilter is an FIR filter that maximizes the SNR of its output. An algorithm for adaptive eigenfiltering is described and is applied to sinusoidal signals and speech signals.<<ETX>>","PeriodicalId":189083,"journal":{"name":"Proceedings of IEEE 6th Digital Signal Processing Workshop","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1994-10-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128907933","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":"Filter design to guarantee convergence of the pseudolinear regression IIR adaptive algorithm","authors":"F. Perez-Gonzallez, C. Abdallah","doi":"10.1109/DSP.1994.379883","DOIUrl":"https://doi.org/10.1109/DSP.1994.379883","url":null,"abstract":"In this paper we design a finite impulse response (FIR) filter to enforce the so-called strictly positive realness (SPR) condition in an adaptive infinite impulse response (IIR) filtering context. The paper results may then be used to guarantee the convergence of pseudolinear regression IIR adaptive algorithms.<<ETX>>","PeriodicalId":189083,"journal":{"name":"Proceedings of IEEE 6th Digital Signal Processing Workshop","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1994-10-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114307276","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":"Tone behavior of the double loop /spl Sigma//spl Delta/ modulator with unstable filter dynamics","authors":"M. Motamed, S. Sanders, A. Zakhor","doi":"10.1109/DSP.1994.379879","DOIUrl":"https://doi.org/10.1109/DSP.1994.379879","url":null,"abstract":"In this paper we analyze the tone behavior of the double loop /spl Sigma//spl Delta/ modulator with unstable filter dynamics. We show that some unstable limit cycles have an attractor region in their neighborhood which results in tones in the spectrum corresponding to the fundamental or harmonics of these limit cycles. We develop the tools to determine whether or not an unstable limit cycle has an attractor in its neighborhood and obtain a method to approximate the boundaries of these attractors. We then propose a novel /spl Sigma//spl Delta/ structure for tone removal.<<ETX>>","PeriodicalId":189083,"journal":{"name":"Proceedings of IEEE 6th Digital Signal Processing Workshop","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1994-10-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129664552","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":"A universal methodology for signal classification in non-Gaussian environments","authors":"N. Warke, G. Orsak","doi":"10.1109/DSP.1994.379864","DOIUrl":"https://doi.org/10.1109/DSP.1994.379864","url":null,"abstract":"The signal classification problem is posed as an M-ary hypothesis testing problem. We develop an asymptotically optimal universal classifier which does not depend on the true statistical model of the environment. We show that the relevant error probabilities decay at least exponentially in the length of the data vector. To support these results we present simulation results comparing the performance of the proposed universal detector with that of a matched filter receiver for finite test sequences.<<ETX>>","PeriodicalId":189083,"journal":{"name":"Proceedings of IEEE 6th Digital Signal Processing Workshop","volume":"99 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1994-10-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129737806","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":"Processing signals from surface electrode arrays for noninvasive 3D mapping of muscle activity","authors":"R. Jesinger, V. Stonick","doi":"10.1109/DSP.1994.379868","DOIUrl":"https://doi.org/10.1109/DSP.1994.379868","url":null,"abstract":"This paper presents a new technique for reconstruction and imaging of volumetric neuromuscular activity using digital signal processing of multichannel surface potential recordings. We use magnetic resonance images to model anatomical structures with finite element analysis and to quantify material properties within the inhomogeneous volume. Time-frequency distributions of the multichannel EMG array data decompose the broadband source localization problem into a narrowband framework. Poisson's equation is then solved using finite element methods coupled with signal processing estimation techniques to localize neuromuscular activity. This new imaging tool can be used to enhance clinical diagnosis of neuromuscular disorders and to improve understanding of human locomotion for biomechanics and robotics.<<ETX>>","PeriodicalId":189083,"journal":{"name":"Proceedings of IEEE 6th Digital Signal Processing Workshop","volume":"54 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1994-10-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123320545","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}