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1996 IEEE Digital Signal Processing Workshop Proceedings最新文献

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Nonlinear-phase maximally-flat lowpass FIR filter design 非线性相位最大平坦低通FIR滤波器设计
1996 IEEE Digital Signal Processing Workshop Proceedings Pub Date : 1996-09-01 DOI: 10.1109/DSPWS.1996.555539
I. Selesnick, C. Burrus
{"title":"Nonlinear-phase maximally-flat lowpass FIR filter design","authors":"I. Selesnick, C. Burrus","doi":"10.1109/DSPWS.1996.555539","DOIUrl":"https://doi.org/10.1109/DSPWS.1996.555539","url":null,"abstract":"This paper reports a new analytic technique for the design of nonlinear-phase maximally-flat lowpass FIR filters. By subjecting the response magnitude and the group delay (individually) to differing numbers of flatness constraints, a new family of filters is obtained. With these filters, the delay can be reduced while maintaining relatively constant group delay in the passband, without significantly altering the response magnitude.","PeriodicalId":131323,"journal":{"name":"1996 IEEE Digital Signal Processing Workshop Proceedings","volume":"53 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1996-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122652487","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: 2
A delayed error least mean squares adaptive filtering algorithm and its performance analysis 一种延迟误差最小均方自适应滤波算法及其性能分析
1996 IEEE Digital Signal Processing Workshop Proceedings Pub Date : 1996-09-01 DOI: 10.1109/DSPWS.1996.555542
J. Thomas
{"title":"A delayed error least mean squares adaptive filtering algorithm and its performance analysis","authors":"J. Thomas","doi":"10.1109/DSPWS.1996.555542","DOIUrl":"https://doi.org/10.1109/DSPWS.1996.555542","url":null,"abstract":"High sampling rate realizations of the least mean squares (LMS) adaptive filtering algorithm require that the inherent recursive computational bottleneck in the impulse response updating be broken by introducing algorithmic delays into the error feedback path. The well known delayed LMS (DLMS) technique achieves this by convolving delayed error samples with delayed input samples. This paper proposes a possible realization that convolves delayed error samples with undelayed input samples, motivated by systolization and pipelining requirements that use only the delays introduced in the error feedback path. We provide a convergence analysis of this delayed error LMS (DELMS) algorithm along with experimental simulations that prove the stability of this adaptation technique under desired operating conditions and improved tracking performance in nonstationary environments, compared with the DLMS algorithm.","PeriodicalId":131323,"journal":{"name":"1996 IEEE Digital Signal Processing Workshop Proceedings","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1996-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124478902","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: 3
Best basis algorithm for orthonormal shift-invariant trigonometric decomposition 正交移不变三角函数分解的最佳基算法
1996 IEEE Digital Signal Processing Workshop Proceedings Pub Date : 1996-09-01 DOI: 10.1109/DSPWS.1996.555546
I. Cohen, S. Raz, D. Malah, I. Schnitzer
{"title":"Best basis algorithm for orthonormal shift-invariant trigonometric decomposition","authors":"I. Cohen, S. Raz, D. Malah, I. Schnitzer","doi":"10.1109/DSPWS.1996.555546","DOIUrl":"https://doi.org/10.1109/DSPWS.1996.555546","url":null,"abstract":"Adaptive signal representations in overcomplete libraries of waveforms have been widely used. The local cosine decomposition of Coifman and Wickerhauser (see IEEE Trans. Inf. Th., vol.38, no.3, p.713-18, 1992) is modified by incorporating two degrees of freedom that increase the adaptability of the best basis. These are relative shifts between resolution levels and adaptive polarity foldings. The resultant expansion is shift-invariant, and yields adaptive time-frequency distributions which are characterized by high resolution, high concentration and suppressed cross-terms associated with the Wigner distribution.","PeriodicalId":131323,"journal":{"name":"1996 IEEE Digital Signal Processing Workshop Proceedings","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1996-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125345032","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
Optimal vector pyramidal and subband decompositions for the coding of multichannel signals 多通道信号编码的最优矢量锥体和子带分解
1996 IEEE Digital Signal Processing Workshop Proceedings Pub Date : 1996-09-01 DOI: 10.1109/DSPWS.1996.555466
D. Tzovaras, M. Strintzis
{"title":"Optimal vector pyramidal and subband decompositions for the coding of multichannel signals","authors":"D. Tzovaras, M. Strintzis","doi":"10.1109/DSPWS.1996.555466","DOIUrl":"https://doi.org/10.1109/DSPWS.1996.555466","url":null,"abstract":"Filters are determined which achieve optimal construction of multiresolution vector sequences by minimizing the variance of the error signals between successive pyramid levels. A measure of the entropy reduction achieved by the pyramid is in this way maximized. Further, the filters are also determined which minimize the error committed when only the low resolution vector signal is retained from a multi-channel perfect reconstruction vector filter bank. The effect of this is to ensure that the lower-resolution image produced by the primary subband bears maximum resemblance to the input image. In both settings, it is assumed that additive transmission noise corrupts the downsampled signal prior to the synthesis stage. It is seen that under noiseless or lossless transmission conditions, the two above families of optimal analysis and synthesis filters coincide. The results are evaluated experimentally for the vector coding of the DCT coefficients.","PeriodicalId":131323,"journal":{"name":"1996 IEEE Digital Signal Processing Workshop Proceedings","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1996-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128037139","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
Noniterative reconstruction of band limited signals and coding techniques 带限信号的非迭代重构与编码技术
1996 IEEE Digital Signal Processing Workshop Proceedings Pub Date : 1996-09-01 DOI: 10.1109/DSPWS.1996.555482
J. Vieira, P. Ferreira
{"title":"Noniterative reconstruction of band limited signals and coding techniques","authors":"J. Vieira, P. Ferreira","doi":"10.1109/DSPWS.1996.555482","DOIUrl":"https://doi.org/10.1109/DSPWS.1996.555482","url":null,"abstract":"In this paper we propose linear iterative and noniterative algorithms which can efficiently correct a subset of t samples of a signal, whose values might have been corrupted, possibly due to noise, clipping, or any other reasons. We discuss the applicability of techniques used in error correcting codes to this problem, and the possibility of determining the location of the erroneous samples in oversampled band limited signals. The method borrows ideas from error-correcting codes such as BCH codes, but works in the complex field rather than in a Galois field. This work complements works in reconstruction theory which usually assume that the positions of lost samples or pixels are known, and improves on previously reported nonlinear iterative algorithms.","PeriodicalId":131323,"journal":{"name":"1996 IEEE Digital Signal Processing Workshop Proceedings","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1996-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123141786","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
Image compression using pyramidal distance order statistic filtering 使用金字塔距离阶统计滤波的图像压缩
1996 IEEE Digital Signal Processing Workshop Proceedings Pub Date : 1996-09-01 DOI: 10.1109/DSPWS.1996.555453
Rusen Oktem, P. Kuosmanen, K. Egiazarian
{"title":"Image compression using pyramidal distance order statistic filtering","authors":"Rusen Oktem, P. Kuosmanen, K. Egiazarian","doi":"10.1109/DSPWS.1996.555453","DOIUrl":"https://doi.org/10.1109/DSPWS.1996.555453","url":null,"abstract":"Pyramidal data structure has proven useful in efficient progressive image transmission coding algorithms. A novel image coding algorithm is presented. This algorithm uses distance order statistic filters to form the pyramidal structure. It is applied to real images and found to perform efficiently in terms of image quality at a low bit rate. In noisy conditions the algorithm is adapted to remove noise by using DOS filtering.","PeriodicalId":131323,"journal":{"name":"1996 IEEE Digital Signal Processing Workshop Proceedings","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1996-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126398627","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: 3
Recognition of facial expressions using associative memory 利用联想记忆识别面部表情
1996 IEEE Digital Signal Processing Workshop Proceedings Pub Date : 1996-09-01 DOI: 10.1109/DSPWS.1996.555506
Yuri Iwanot, Masahide YoneyamaS, Katsuhiko Shirait
{"title":"Recognition of facial expressions using associative memory","authors":"Yuri Iwanot, Masahide YoneyamaS, Katsuhiko Shirait","doi":"10.1109/DSPWS.1996.555506","DOIUrl":"https://doi.org/10.1109/DSPWS.1996.555506","url":null,"abstract":"We extract the movements of 8/spl times/10 regions of the face by using optical flow and simplify the information by considering whether a particular region of the face moved or not. By applying this information in a Hopfield neural network based on a discrete model, we try to absorb the differences between individuals and the degree of feelings effectively. We carried out an experiment with 144 examples of image data. The results of before and after applying the data in the Hopfield neural network were 61.8% and 71.5% respectively.","PeriodicalId":131323,"journal":{"name":"1996 IEEE Digital Signal Processing Workshop Proceedings","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1996-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127015215","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: 7
Multirate modeling of human ear frequency resolution for hearing aids 助听器用人耳频率分辨率的多速率建模
1996 IEEE Digital Signal Processing Workshop Proceedings Pub Date : 1996-09-01 DOI: 10.1109/DSPWS.1996.555484
M. Li, H. McAllister, N. Black
{"title":"Multirate modeling of human ear frequency resolution for hearing aids","authors":"M. Li, H. McAllister, N. Black","doi":"10.1109/DSPWS.1996.555484","DOIUrl":"https://doi.org/10.1109/DSPWS.1996.555484","url":null,"abstract":"A real-time multirate filtering design project, as an application in digital hearing aids, has been developed. The motivation is that it allows nonuniform frequency resolution which automatically leads us to use different decimators for different frequency bandwidths. Therefore, a variation of the tree structured multirate multistage filter bank is exploited with six pairs of polyphase filters for decimation and six pairs for interpolation to achieve seven different frequency bandwidths, each for an octave. Such nonuniform systems are well-suited for the processing of sound signals, because of the decreasing resolution of the human ear at higher frequencies. For audiogram match, the frequency response of the decimation filter bank can be individually adjustable in each octave band. The other advantages of multirate processing provide for less computational and storage requirements as well as lower order filter design. Texas Instruments Evaluation Module (EVM), based on the fifth generation TI TMS320C50 digital signal processor, is used for implementation.","PeriodicalId":131323,"journal":{"name":"1996 IEEE Digital Signal Processing Workshop Proceedings","volume":"32 4","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1996-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114042256","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
Features of a discrete Wigner distribution 离散维格纳分布的特征
1996 IEEE Digital Signal Processing Workshop Proceedings Pub Date : 1996-09-01 DOI: 10.1109/DSPWS.1996.555553
M. Richman, T. Parks, R. Shenoy
{"title":"Features of a discrete Wigner distribution","authors":"M. Richman, T. Parks, R. Shenoy","doi":"10.1109/DSPWS.1996.555553","DOIUrl":"https://doi.org/10.1109/DSPWS.1996.555553","url":null,"abstract":"We discuss important attributes of a discrete Wigner distribution derived using a group-theoretic approach. The nature of this approach enables this distribution to satisfy numerous mathematical properties, including marginals and the Weyl (1964) correspondence. A few issues concerning the relationship of this distribution with group theory are explored in detail. In particular, the discrete distribution depends on the parity of the signal length, i.e. odd distributions are computed differently than even ones. This dependence is explained and a surprising consequence is demonstrated. We also describe how this distribution satisfies covariance properties. The three fundamental types of symplectic transformations (dilation/compression, shearing, and rotation) are are given and interpreted for this discrete case.","PeriodicalId":131323,"journal":{"name":"1996 IEEE Digital Signal Processing Workshop Proceedings","volume":"76 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1996-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122570790","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: 4
Performance analysis of direct sequence spread spectrum communications system employing interference excision 采用干扰剔除的直接序列扩频通信系统性能分析
1996 IEEE Digital Signal Processing Workshop Proceedings Pub Date : 1996-09-01 DOI: 10.1109/DSPWS.1996.555476
M.V. Tazebay, A. Akansu
{"title":"Performance analysis of direct sequence spread spectrum communications system employing interference excision","authors":"M.V. Tazebay, A. Akansu","doi":"10.1109/DSPWS.1996.555476","DOIUrl":"https://doi.org/10.1109/DSPWS.1996.555476","url":null,"abstract":"It is well known that a proper interference exciser enhances the performance of a spread spectrum communications system. There have been several competing excision techniques reported in the literature. This paper presents a performance evaluation of those excision techniques via the analytical and computer simulation tools. It is found that the analytical performance tools presented are in match with the computer simulation results. It is also shown that a previously proposed adaptive time-frequency exciser consistently outperforms the existing interference excision techniques in the literature.","PeriodicalId":131323,"journal":{"name":"1996 IEEE Digital Signal Processing Workshop Proceedings","volume":"56 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1996-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127875327","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: 2
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