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1996 IEEE Digital Signal Processing Workshop Proceedings最新文献

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2D shape analysis base on perceptual hierarchy 基于感知层次的二维形状分析
1996 IEEE Digital Signal Processing Workshop Proceedings Pub Date : 1996-09-01 DOI: 10.1109/DSPWS.1996.555501
QiGang Guo
{"title":"2D shape analysis base on perceptual hierarchy","authors":"QiGang Guo","doi":"10.1109/DSPWS.1996.555501","DOIUrl":"https://doi.org/10.1109/DSPWS.1996.555501","url":null,"abstract":"A novel approach for the recognition of 2D shapes is presented based on the perceptual organization of descriptive-boundary primitives of objects. The system has three components: (1) a set of partition and grouping rules for extracting and manipulating the primitives, (2) a control structure of the processes and (3) a representation scheme based on a perceptual hierarchy.","PeriodicalId":131323,"journal":{"name":"1996 IEEE Digital Signal Processing Workshop Proceedings","volume":"251 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":"132974563","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
Combined two nonlinear image processings for speckle-free imaging with the optical array imaging system 结合两种非线性图像处理与光学阵列成像系统的无散斑成像
1996 IEEE Digital Signal Processing Workshop Proceedings Pub Date : 1996-09-01 DOI: 10.1109/DSPWS.1996.555452
O. Ikeda
{"title":"Combined two nonlinear image processings for speckle-free imaging with the optical array imaging system","authors":"O. Ikeda","doi":"10.1109/DSPWS.1996.555452","DOIUrl":"https://doi.org/10.1109/DSPWS.1996.555452","url":null,"abstract":"In previous articles an optical array imaging system has been presented, where after collecting the array data the eigenvector with the largest eigenvalue is derived and it is computationally beamsteared to get images of the object. Images obtainable with this system have serious speckle noise. Two nonlinear processing methods are applied to reduce the speckle noise. One method is to average the intensity images over the parameter of the array elements used for laser light transmission. The other is to apply a Gaussian low-pass filter to the averaged image after taking its logarithm. Their usefulness was examined by computer simulation and it was shown that almost speckle-free imaging is achievable with little effects on image resolution.","PeriodicalId":131323,"journal":{"name":"1996 IEEE Digital Signal Processing Workshop Proceedings","volume":"2 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":"122285148","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 wavelets with Java on the information superhighway 在信息高速公路上用Java教小波
1996 IEEE Digital Signal Processing Workshop Proceedings Pub Date : 1996-09-01 DOI: 10.1109/DSPWS.1996.555470
H. Guo, J. E. Odegard, C. Burrus
{"title":"Teaching wavelets with Java on the information superhighway","authors":"H. Guo, J. E. Odegard, C. Burrus","doi":"10.1109/DSPWS.1996.555470","DOIUrl":"https://doi.org/10.1109/DSPWS.1996.555470","url":null,"abstract":"One of the most exciting new developments on the information superhighway is the Java language of the Sun Microsystem. Java is portable, powerful, and network-aware. This paper presents some ideas and experiments on teaching wavelets and signal processing using Java.","PeriodicalId":131323,"journal":{"name":"1996 IEEE Digital Signal Processing Workshop Proceedings","volume":"29 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":"125563380","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
New insights in the analysis of polynomial adaptive filters 多项式自适应滤波器分析的新见解
1996 IEEE Digital Signal Processing Workshop Proceedings Pub Date : 1996-09-01 DOI: 10.1109/DSPWS.1996.555541
Charles W. Therrien, W. K. Jenkins
{"title":"New insights in the analysis of polynomial adaptive filters","authors":"Charles W. Therrien, W. K. Jenkins","doi":"10.1109/DSPWS.1996.555541","DOIUrl":"https://doi.org/10.1109/DSPWS.1996.555541","url":null,"abstract":"New results are reported on the structure of the correlation matrix for the data vector in Volterra second order adaptive filters for a general colored Gaussian input process. The structure becomes apparent when the input to the quadratic part of the filter is represented as a Kronecker product of the vector of terms to the linear part, and the redundant terms in the product are not removed. This approach leads to bounds on the eigenvalues of the correlation matrix which characterize the performance of LMS algorithms, and suggestions for possibly improved nonlinear adaptive filtering algorithms.","PeriodicalId":131323,"journal":{"name":"1996 IEEE Digital Signal Processing Workshop Proceedings","volume":"52 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":"129072019","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: 8
Fast estimation of higher-order moments using sign bit and reference signals 使用符号位和参考信号快速估计高阶矩
1996 IEEE Digital Signal Processing Workshop Proceedings Pub Date : 1996-09-01 DOI: 10.1109/DSPWS.1996.555524
A. Swami, Brian M. Sadler
{"title":"Fast estimation of higher-order moments using sign bit and reference signals","authors":"A. Swami, Brian M. Sadler","doi":"10.1109/DSPWS.1996.555524","DOIUrl":"https://doi.org/10.1109/DSPWS.1996.555524","url":null,"abstract":"High data-rate signals pose challenging problems, e.g., in efficient computation of their autocorrelation and spectra. One popular technique exploits dithering and sign bit processing: here the band-limited analog signal is dithered by the addition of a discrete-time reference signal, which is then clipped to 1 bit; the resulting antipodal binary sequence is then used to obtain an estimate of the autocorrelation and spectra of the signal. We extend the notion to cross-moments of arbitrary orders and signals; this problem arises in several applications, such as radio astronomy and laser spectroscopy. We show that if the reference signal is stochastic, it must be uniformly distributed, and if it is non-random, it must again be uniformly distributed in a sense described. Closed form expressions are obtained for the variance of the cross-moments estimated from the resulting sign bit sequence. We also consider the M-level quantization scheme. The theory is corroborated by simulations.","PeriodicalId":131323,"journal":{"name":"1996 IEEE Digital Signal Processing Workshop Proceedings","volume":"67 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":"129181579","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
Recognition of three dimensional objects using a directional coupled neural network 三维物体的定向耦合神经网络识别
1996 IEEE Digital Signal Processing Workshop Proceedings Pub Date : 1996-09-01 DOI: 10.1109/DSPWS.1996.555510
Y. Miyanaga, K. Motoyoshi, K. Tochinai
{"title":"Recognition of three dimensional objects using a directional coupled neural network","authors":"Y. Miyanaga, K. Motoyoshi, K. Tochinai","doi":"10.1109/DSPWS.1996.555510","DOIUrl":"https://doi.org/10.1109/DSPWS.1996.555510","url":null,"abstract":"This report introduces a new approach on a recognition system of three dimensional, i.e., 3-D, objects. The proposed system is based on a restricted multi-layered neural network. In order to greatly reduce the total calculation cost of preprocessing for the recognition, directional coupled nodes in a network are introduced. This report also shows that the system can recognize some 3-D objects correctly in experiments.","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":"128615722","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
Discrete orthogonal transforms based on Fibonacci-type recursions 基于斐波那契递归的离散正交变换
1996 IEEE Digital Signal Processing Workshop Proceedings Pub Date : 1996-09-01 DOI: 10.1109/DSPWS.1996.555547
K. Egiazarian, J. Astola
{"title":"Discrete orthogonal transforms based on Fibonacci-type recursions","authors":"K. Egiazarian, J. Astola","doi":"10.1109/DSPWS.1996.555547","DOIUrl":"https://doi.org/10.1109/DSPWS.1996.555547","url":null,"abstract":"The idea of unified Fibonacci-type topology is used for construction of wide classes of discrete orthogonal transforms, including Rademacher-Fibonacci, Walsh-Fibonacci, Haar-Fibonacci-type transforms, etc. Efficient algorithms for proposed transforms directly related with the generalized Fibonacci topology are derived. The generation of discrete wavelets and wavelet packets based on Fibonacci-type recursions is established.","PeriodicalId":131323,"journal":{"name":"1996 IEEE Digital Signal Processing Workshop Proceedings","volume":"90 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":"124640898","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: 8
Efficient codebook design in vector quantization by parallel simulated annealing and evolutionary selection 基于并行模拟退火和进化选择的矢量量化高效码本设计
1996 IEEE Digital Signal Processing Workshop Proceedings Pub Date : 1996-09-01 DOI: 10.1109/DSPWS.1996.555500
V. Delport
{"title":"Efficient codebook design in vector quantization by parallel simulated annealing and evolutionary selection","authors":"V. Delport","doi":"10.1109/DSPWS.1996.555500","DOIUrl":"https://doi.org/10.1109/DSPWS.1996.555500","url":null,"abstract":"Vector quantization is a technique that has been investigated and used in speech and image coding for data compression. A hybrid system of parallel simulated annealing and evolutionary selection (PSAES) is introduced to codebook design in vector quantization. It is examined for the vector space of low-order DCT coefficients and compared with local and near global optimization techniques. In addition an improved version of a fuzzy codebook design called fuzzy-to-hard-c-mean algorithm is proposed.","PeriodicalId":131323,"journal":{"name":"1996 IEEE Digital Signal Processing Workshop Proceedings","volume":"34 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":"116057814","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
Using statistical parameters for chaos detection 利用统计参数进行混沌检测
1996 IEEE Digital Signal Processing Workshop Proceedings Pub Date : 1996-09-01 DOI: 10.1109/DSPWS.1996.555574
K. Vibe-Rheymer, J. Vesin
{"title":"Using statistical parameters for chaos detection","authors":"K. Vibe-Rheymer, J. Vesin","doi":"10.1109/DSPWS.1996.555574","DOIUrl":"https://doi.org/10.1109/DSPWS.1996.555574","url":null,"abstract":"Detecting chaos in experimental data is a nontrivial problem. Nowadays, most techniques require long data sets and a low amount of noise in the data, which is not always possible. Besides, the results often leave much room to interpretation. The paper proposes an alternative to classical methods, using statistical techniques. The chaos detection test is decomposed into two sub-tests, detecting respectively the presence of fractality and nonlinearity in the signal. Several possible tests for each feature are presented and analyzed; the best combination test is then proposed.","PeriodicalId":131323,"journal":{"name":"1996 IEEE Digital Signal Processing Workshop Proceedings","volume":"10 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":"116884896","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
Energy spreading and data compression using the Prometheus Orthonormal Set 基于普罗米修斯标准正交集的能量扩展与数据压缩
1996 IEEE Digital Signal Processing Workshop Proceedings Pub Date : 1996-09-01 DOI: 10.1109/DSPWS.1996.555447
J. Byrnes, B. Saffari, H. Shapiro
{"title":"Energy spreading and data compression using the Prometheus Orthonormal Set","authors":"J. Byrnes, B. Saffari, H. Shapiro","doi":"10.1109/DSPWS.1996.555447","DOIUrl":"https://doi.org/10.1109/DSPWS.1996.555447","url":null,"abstract":"The Prometheus Orthonormal Set (PONS/sup TM/) can be effectively used to compress all common digital audio signals. This compression method is effective because of two fundamental properties, computational simplicity and energy spreading. Although there exist other transform coding methods, such as Walsh-Hadamard, which give compression while limiting the computational burden, we believe that the energy spreading feature of PONS is unique. We express this feature in precise mathematical terms and indicate how it is helpful for compression.","PeriodicalId":131323,"journal":{"name":"1996 IEEE Digital Signal Processing Workshop Proceedings","volume":"30 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":"123471824","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: 9
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