发布求助
文献互助 智能选刊 最新文献

Proceedings of IEEE 6th Digital Signal Processing Workshop最新文献

筛选
英文 中文
Eigen design of quadrature mirror filters 正交反射滤波器的本征设计
Proceedings of IEEE 6th Digital Signal Processing Workshop Pub Date : 1994-10-02 DOI: 10.1109/DSP.1994.379833
V. T. Franques, H.D. Li, V. Jain
{"title":"Eigen design of quadrature mirror filters","authors":"V. T. Franques, H.D. Li, V. Jain","doi":"10.1109/DSP.1994.379833","DOIUrl":"https://doi.org/10.1109/DSP.1994.379833","url":null,"abstract":"The paper presents a method for the design of quadrature mirror filters. A new frequency weighted stopband energy function is introduced, which leads to considerable flexibility in the design process. Unlike other techniques which involve searches and nonlinear optimization, the formulation reduces the design equations to an eigenvector problem. The resulting filters are regular and have additional desirable properties as discussed in the paper. Also considered is application to pyramidal coding of images, which together with DPCM and PCM, leads to high compression ratios.<<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":"128479975","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
Comparison of parametric and nonparametric spectral estimation of continuous Doppler ultrasound shift waveforms 连续多普勒超声频移波形的参数与非参数谱估计比较
Proceedings of IEEE 6th Digital Signal Processing Workshop Pub Date : 1994-10-02 DOI: 10.1109/DSP.1994.379854
T. Kadado, D. Maulik, S. Chakrabarti
{"title":"Comparison of parametric and nonparametric spectral estimation of continuous Doppler ultrasound shift waveforms","authors":"T. Kadado, D. Maulik, S. Chakrabarti","doi":"10.1109/DSP.1994.379854","DOIUrl":"https://doi.org/10.1109/DSP.1994.379854","url":null,"abstract":"As an alternative to the fast Fourier transform (FFT) spectral analysis approach, an autoregressive (AR), a moving average (MA) and an autoregressive moving average (ARMA) model based spectral estimators were used to process the continuous wave Doppler ultrasonic aortic flow signal. The spectrogram of each method was subsequently plotted. This study was undertaken to compare the maximum frequency shift envelope of each of the spectrograms and to find the best parametric model suitable for this investigation. The Doppler signal was subdivided into overlapping windowed data sets. The FFT estimate was performed after applying a Hamming window to each data record. The AR model was constructed and solved using Yule-Walker (Y-W) equations. The MA model was estimated from a truncated higher order AR model and solved likewise using Y-W equations. The ARMA estimate was obtained by evaluating the AR parameters first, using the extended Y-W equations. The AR parameters were then used to obtain a filtered MA sequence of the data and subsequently estimate the MA part as described previously. Overall, the use of parametric model based approach provided cleaner spectrographs.<<ETX>>","PeriodicalId":189083,"journal":{"name":"Proceedings of IEEE 6th Digital Signal Processing Workshop","volume":"4 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":"117015996","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: 1
Hyperbolic updating of LDU decompositions LDU分解的双曲更新
Proceedings of IEEE 6th Digital Signal Processing Workshop Pub Date : 1994-10-02 DOI: 10.1109/DSP.1994.379822
E.J. Baranoski
{"title":"Hyperbolic updating of LDU decompositions","authors":"E.J. Baranoski","doi":"10.1109/DSP.1994.379822","DOIUrl":"https://doi.org/10.1109/DSP.1994.379822","url":null,"abstract":"Presents a new hyperbolic householder algorithm to efficiently update and downdate the LDU decomposition of covariance matrices. While useful in its own right, this is a powerful tool when combined with Sylvester's law of inertia, which equates the number of positive (negative) eigenvalues of a matrix with the number of positive (negative) numbers in the diagonal matrix of the LDU decomposition. This allows the hyperbolic LDU updating procedure to be used to track the eigenvalue structure of a set of data vectors. An example application is presented which tracks the number of sources present in a set of array data vectors using a block averaging technique.<<ETX>>","PeriodicalId":189083,"journal":{"name":"Proceedings of IEEE 6th Digital Signal Processing Workshop","volume":"39 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":"126567154","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
On the design of the state digital filters 状态数字滤波器的设计
Proceedings of IEEE 6th Digital Signal Processing Workshop Pub Date : 1994-10-02 DOI: 10.1109/DSP.1994.379876
F. G. Ugalde, B. Psenicka
{"title":"On the design of the state digital filters","authors":"F. G. Ugalde, B. Psenicka","doi":"10.1109/DSP.1994.379876","DOIUrl":"https://doi.org/10.1109/DSP.1994.379876","url":null,"abstract":"Describes a general programmable algorithm for the analysis of discrete circuits. A method is proposed, by means of examples, which establishes the state matrices A, B, C, D and the transfer function H(z) of a digital network. A new algorithm for the design of second order state-space digital filters is developed on the basis of the prior coefficient sensitivity analysis.<<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":"117199045","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: 1
Recursive time-frequency methods for dynamic systems 动态系统的递归时频方法
Proceedings of IEEE 6th Digital Signal Processing Workshop Pub Date : 1994-10-02 DOI: 10.1109/DSP.1994.379842
S.A. Dalianis, J. Hammond, G. Cambourakis
{"title":"Recursive time-frequency methods for dynamic systems","authors":"S.A. Dalianis, J. Hammond, G. Cambourakis","doi":"10.1109/DSP.1994.379842","DOIUrl":"https://doi.org/10.1109/DSP.1994.379842","url":null,"abstract":"Conventional methods using the time or frequency domain individually have limitations in many applications. The present study investigates methods of analysing the two domains jointly and applies this in system modelling. Time frequency distributions are investigated considering applications in time variant environments. A method has been developed using recursive filters in bands, providing easy to interpret information about time localisation of spectral events. Stationary and nonstationary cases can be represented. Processing in the joint domains enables detailed modifications of the original signal.<<ETX>>","PeriodicalId":189083,"journal":{"name":"Proceedings of IEEE 6th Digital Signal Processing Workshop","volume":"50 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":"131214748","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
Teaching signal processing concepts using the SPC toolbox 使用SPC工具箱教授信号处理概念
Proceedings of IEEE 6th Digital Signal Processing Workshop Pub Date : 1994-10-02 DOI: 10.1109/DSP.1994.379860
M. Fargues, D.W. Brown
{"title":"Teaching signal processing concepts using the SPC toolbox","authors":"M. Fargues, D.W. Brown","doi":"10.1109/DSP.1994.379860","DOIUrl":"https://doi.org/10.1109/DSP.1994.379860","url":null,"abstract":"We discuss an interactive software developed to complement the teaching of digital signal processing (DSP) concepts in various courses taught by the Electrical and Computer Engineering Department at the Naval Postgraduate School. While DSP is quite important to electrical engineering education, the mathematical concepts used in DSP can be rather difficult when presented in a classical classroom setting. These concepts become more meaningful when they are actually applied to specific problems. The Signal Processing and Communications (SPC) software we developed was designed to assist in the application of the signal processing concepts learned in the classroom and to illustrate their advantages and drawbacks. The MATLAB Version 4 environment is used to take advantage of the graphical user interface. SPC is a window-based, user-friendly tool that allows the user to develop digital filters, analyze signals, and easily design basic signal modeling tools.<<ETX>>","PeriodicalId":189083,"journal":{"name":"Proceedings of IEEE 6th Digital Signal Processing Workshop","volume":"46 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":"126796322","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: 1
Contraction mapping: an important property in adaptive filters 收缩映射:自适应滤波器的一个重要属性
Proceedings of IEEE 6th Digital Signal Processing Workshop Pub Date : 1994-10-02 DOI: 10.1109/DSP.1994.379824
Markus Rupp
{"title":"Contraction mapping: an important property in adaptive filters","authors":"Markus Rupp","doi":"10.1109/DSP.1994.379824","DOIUrl":"https://doi.org/10.1109/DSP.1994.379824","url":null,"abstract":"Shows that many adaptive filters used for system identification are contraction mappings. Applying deterministic methods the authors give conditions under which algorithms, like least mean square, normalized least mean square, modified least mean square with delayed update, modified filtered-X least mean square, affine projection, and recursive least square are a contraction mapping contracting. Based on this result, the authors investigate the algorithms' convergence rate for initialization phase and tracking.<<ETX>>","PeriodicalId":189083,"journal":{"name":"Proceedings of IEEE 6th Digital Signal Processing Workshop","volume":"16 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":"115427273","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
Regularization by multiscale models 多尺度模型正则化
Proceedings of IEEE 6th Digital Signal Processing Workshop Pub Date : 1994-10-02 DOI: 10.1109/DSP.1994.379869
É. Fabre, A. Benveniste
{"title":"Regularization by multiscale models","authors":"É. Fabre, A. Benveniste","doi":"10.1109/DSP.1994.379869","DOIUrl":"https://doi.org/10.1109/DSP.1994.379869","url":null,"abstract":"We describe multiscale stochastic models, tightly linked to the wavelet transform, and the associated estimation algorithms. This framework can be used to model stochastic fractals or more generally to handle signals that \"live\" at different interacting resolutions. We then show how these models can be used as prior information to regularize geological data stemming from a nuclear sensor that is itself multiresolution.<<ETX>>","PeriodicalId":189083,"journal":{"name":"Proceedings of IEEE 6th Digital Signal Processing Workshop","volume":"4 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":"134105741","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: 1
Lie group parametrization for dynamics based prior in ATR 基于先验的ATR动力学李群参数化
Proceedings of IEEE 6th Digital Signal Processing Workshop Pub Date : 1994-10-02 DOI: 10.1109/DSP.1994.379865
Anuj Srivastava, M. Miller, U. Grenander
{"title":"Lie group parametrization for dynamics based prior in ATR","authors":"Anuj Srivastava, M. Miller, U. Grenander","doi":"10.1109/DSP.1994.379865","DOIUrl":"https://doi.org/10.1109/DSP.1994.379865","url":null,"abstract":"In recent automated target recognition (ATR) literature, there is increasing utilization of motion dynamics for tracking and recognizing moving targets. The dynamics along with the sensor models provide a Bayesian framework for conditional mean estimation of scene parameters. Previously, the authors have presented a random sampling algorithm for empirical generation of estimates based on jump-diffusion processes. Here we describe a different parameterization for simplifying the derivation of a more informative prior, from Newtonian mechanics, on the target configurations.<<ETX>>","PeriodicalId":189083,"journal":{"name":"Proceedings of IEEE 6th Digital Signal Processing Workshop","volume":"55 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":"131561831","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
Short-time instabilities in the LMS algorithm LMS算法的短时不稳定性
Proceedings of IEEE 6th Digital Signal Processing Workshop Pub Date : 1994-10-02 DOI: 10.1109/DSP.1994.379825
M. Rupp
{"title":"Short-time instabilities in the LMS algorithm","authors":"M. Rupp","doi":"10.1109/DSP.1994.379825","DOIUrl":"https://doi.org/10.1109/DSP.1994.379825","url":null,"abstract":"The least mean square (LMS) algorithm is known to converge in the mean and in the mean square. This does not imply that the algorithm converges strictly at every time step k. In short-time periods the algorithm's convergence can burst up and cause severe disturbances in speech applications. As long as Gaussian processes are used to drive the filter input and the order of the filter is relatively large, the occurrence of these instabilities is very rare. However, for other statistics this does not need to be true. The paper closes this gap in the literature by discussing potential short-time unstable behavior of the LMS algorithm. For spherically invariant random processes (SIRP), like Gaussian, Laplacian, and K/sub 0/, the probabilities for the occurrence of instability at a single time instant k are investigated.<<ETX>>","PeriodicalId":189083,"journal":{"name":"Proceedings of IEEE 6th Digital Signal Processing Workshop","volume":"45 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":"125136019","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: 1
首页 上一页 下一页 尾页
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整，为了账户安全，请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
请完成安全验证×
相关产品
×
本文献相关产品
联系我们：info@booksci.cn Book学术提供免费学术资源搜索服务，方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号：604180095
Book学术官方微信