{"title":"Bounding the frequency response for digital transfer functions: results and applications","authors":"F. Pérez-González, D. Docampo, C. Abdallah","doi":"10.1109/DSP.1994.379884","DOIUrl":"https://doi.org/10.1109/DSP.1994.379884","url":null,"abstract":"This paper introduces robust stability techniques for the computation of exact bounds for the frequency response of FIR and IIR digital filters in which the l/sup /spl infin// norm of the coefficients is bounded.<<ETX>>","PeriodicalId":189083,"journal":{"name":"Proceedings of IEEE 6th Digital Signal Processing Workshop","volume":"58 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":"121460508","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":"Teaching DSP using Matlab","authors":"C. Burrus","doi":"10.1109/DSP.1994.379858","DOIUrl":"https://doi.org/10.1109/DSP.1994.379858","url":null,"abstract":"This paper presents an approach to teaching discrete-time (or digital) signal processing (DSP) using specially designed exercises to be done on modern workstations. The interactive programming, high speed calculations, and versatile graphics of the software system, Matlab, has proven particularly effective and an exercise book has been published to be used in a variety of DSP courses. While discussed here in terms of the FFT and filter design, the ideas should be applicable to all of applied mathematical science, and engineering. It should make the transition from class room learning to self learning more natural and comfortable. Example exercises are given and discussed.<<ETX>>","PeriodicalId":189083,"journal":{"name":"Proceedings of IEEE 6th Digital Signal Processing Workshop","volume":"40 5","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1994-10-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114040858","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":"Teaching signal processing on the Information Superhighway","authors":"G.C. Orsak","doi":"10.1109/DSP.1994.379857","DOIUrl":"https://doi.org/10.1109/DSP.1994.379857","url":null,"abstract":"It is becoming increasingly more common today for companies to team together when undertaking large and detailed projects. This activity, which is vital in terms of competitiveness, will no doubt increase substantially with the advent of the \"Information Superhighway\". From an pedagogical point of view, this modern reality requires that we as educators develop new skills in our graduates which are relevant for these activities. These skills include: (1) learning to identify technical expertise and interest within the larger distributed group, (2) segmenting tasks in a meaningful fashion, (3) integrating results across a high speed network, (4) verifying system level performance, and (5) compiling and writing a comprehensive final report. An ongoing NSF funded project based at George Mason University is described for teaching and developing the above mentioned skills in the context of junior and senior level courses in signal processing and system analysis. Methods of team learning based on current notions of distance learning are detailed. Extensions to this program which integrate in a constructive manner a number of Universities via \"connected laboratories\" and a common instruction base are discussed.<<ETX>>","PeriodicalId":189083,"journal":{"name":"Proceedings of IEEE 6th Digital Signal Processing Workshop","volume":"15 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":"132116102","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":"Frequency estimation in the presence of nonrandom interference","authors":"B. Porat, B. Friedlander","doi":"10.1109/DSP.1994.379851","DOIUrl":"https://doi.org/10.1109/DSP.1994.379851","url":null,"abstract":"The paper develops a method of error analysis for sinusoidal frequency estimation in the presence of nonrandom interference (either additive or multiplicative). Closed form approximations are derived for the case of additive polynomial phase interference. Possible application to error analysis in estimating the parameters of multiple polynomial phase signals is briefly discussed.<<ETX>>","PeriodicalId":189083,"journal":{"name":"Proceedings of IEEE 6th Digital Signal Processing Workshop","volume":"2 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":"115711030","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":"Simplified stochastic gradient adaptive filters using partial updating","authors":"S. Douglas","doi":"10.1109/DSP.1994.379826","DOIUrl":"https://doi.org/10.1109/DSP.1994.379826","url":null,"abstract":"In some adaptive filtering applications, the least-mean-square (LMS) algorithm may be too computationally- and memory-intensive to implement. The authors present two adaptive algorithms that update only a portion of the coefficients of the adaptive system on average. These algorithms use a decimated version of the regressor vector signal and thus are particularly suited to filtered-regressor algorithms used in infinite-impulse-response (IIR) filtering and active noise control applications. The authors provide statistical analyses and simulations of these algorithms that indicate that their behavior with stationary random input signals is similar to that of a periodic update version of the LMS adaptive algorithm. The robustness of the proposed algorithms for periodic inputs is also discussed.<<ETX>>","PeriodicalId":189083,"journal":{"name":"Proceedings of IEEE 6th Digital Signal Processing Workshop","volume":"77 7 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":"129617490","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":"Efficient implementation of image recovery algorithms","authors":"S. Dharanipragada, K. Arun","doi":"10.1109/DSP.1994.379846","DOIUrl":"https://doi.org/10.1109/DSP.1994.379846","url":null,"abstract":"Presents an efficient implementation scheme for the Newton algorithm for convex set constrained signal recovery [Dharanipragada and Arun, 1993). The implementation avoids matrix creation, inversion and even storage by exploiting the structure of the operators involved and by using conjugate-gradient iterations within each Newton iteration. The resulting algorithm is thus computation and memory efficient and is well-suited for large scale problems typically arising in image recovery applications. The same implementation scheme can also be effectively used for the POCS algorithm.<<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":"130835415","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":"Efficient low delay filter banks","authors":"G. Schuller, M.J.T. Smith","doi":"10.1109/DSP.1994.379834","DOIUrl":"https://doi.org/10.1109/DSP.1994.379834","url":null,"abstract":"The paper treats the problem of designing efficient FIR analysis-synthesis filter banks with system delays that can be pre-specified. A framework is introduced that is comprised of the cascade of several distinctive matrices with invertibility properties. The explicit form of the matrices guarantees computational efficiency and exact reconstruction, and allows for control over the system delay.<<ETX>>","PeriodicalId":189083,"journal":{"name":"Proceedings of IEEE 6th Digital Signal Processing Workshop","volume":"21 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":"121350892","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":"Adaptive modular Laguerre non-linear model","authors":"Z. Fejzo, H. Lev-Ari","doi":"10.1109/DSP.1994.379830","DOIUrl":"https://doi.org/10.1109/DSP.1994.379830","url":null,"abstract":"Presents an adaptive nonlinear estimation technique (polynomial model-based) that has guaranteed stability and makes parsimonious use of coefficients, thereby achieving optimal, or close to optimal, performance with reduced computational complexity when compared to the adaptive Volterra filters. Additionally the suggested structure exhibits a high degree of parallelism which makes it suitable for VSLI implementation.<<ETX>>","PeriodicalId":189083,"journal":{"name":"Proceedings of IEEE 6th Digital Signal Processing Workshop","volume":"17 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":"133779764","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":"New approach to strip-map SAR autofocus","authors":"D. Wahl, C. V. Jakowatz, P. Thompson, D. Ghiglia","doi":"10.1109/DSP.1994.379875","DOIUrl":"https://doi.org/10.1109/DSP.1994.379875","url":null,"abstract":"This paper demonstrates how certain concepts from the Phase Gradient Autofocus (PGA) algorithm for automated refocus of spotlight mode SAR imagery may be used to design a similar algorithm that applies to SAR imagery formed in the conventional strip-mapping mode. The algorithm derivation begins with the traditional view of strip-map image formation as convolution (compression) using a linear FM chirp sequence. The appropriate analogies and modifications to the spotlight mode case are used to describe a working algorithm for strip-map autofocus.<<ETX>>","PeriodicalId":189083,"journal":{"name":"Proceedings of IEEE 6th Digital Signal Processing Workshop","volume":"24 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":"134520826","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":"Constrained FIR filter design for 2-band filter banks and orthonormal wavelets","authors":"M. Lang, I. Selesnick, J. E. Odegard, C. Burrus","doi":"10.1109/DSP.1994.379839","DOIUrl":"https://doi.org/10.1109/DSP.1994.379839","url":null,"abstract":"2-band paraunitary FIR filter banks can be used to generate a multiresolution analysis with compactly supported orthonormal (ON) wavelets. The filter design problem is formulated and solved (a) as a constrained L/sub /spl infin// optimization problem and (b) as a constrained L/sub 2/ optimization problem which allows arbitrary compromises between an L/sub 2/ and an L/sub /spl infin// approach with both of them as special cases. Additional flatness constraints can also be easily included. The L/sub 2/ and the L/sub /spl infin// design are based on the Kuhn-Tucker (KT) conditions and the alternation theorem, respectively. Therefore, optimality of the solution is guaranteed. The method (a) is a simpler alternative to a known method. The method (b) solves a more general problem than the approaches known in the literature including all of them as special cases.<<ETX>>","PeriodicalId":189083,"journal":{"name":"Proceedings of IEEE 6th Digital Signal Processing Workshop","volume":"408 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":"133178850","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}