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Continuous wavelet transforms

Continuous wavelet transforms

引用

international conference on Signal processing Proceedings (ICSP)

作者： Shi Yunhui Ruan Qiuqi College of Computer Science Beijing University of Technology Beijing China Institute of Information Science Beijing Jiaotong University Beijing China

In this paper, we propose a new type of continuous wavelet transform. However we discretize the variables of integral a and b, any numerical integral has a high resolution and a does not appear in the denominator of the integrand. Furthermore, we give two discretization methods of the new wavelet transform. For the one-dimensional situation, we give quadrature formula of the discretized inverse wavelet transform. For the multidimensional situation, we develop the commonly wavelet network based on the discretized inverse wavelet transform of the new wavelet transform. Finally, the numerical examples show that the continuous wavelet transform constructed in this paper has higher computing accuracy compared with the classical continuous wavelet transform.

关键词： Continuous wavelet transforms Wavelet transforms Discrete wavelet transforms Wavelet analysis Educational institutions

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Adaptive equalizers based on two weighted neural networks

Adaptive equalizers based on two weighted neural networks

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international conference on Signal processing Proceedings (ICSP)

作者： Wenming Cao Wanfang Chai Fei Lu Hong Peng Shoujue Wang College of Information Engineering Zhejiang University of Technology Hangzhou Zhejiang China Institute of Semiconductors Chinese Academy and Sciences Beijing China

this paper examines a method to apply to channel equalization problem by model selection. the selection process is based on finding a subset model to approximate the response of the full two weighted neural network model for the current input vector, and not for the entire input space. When the channel equalization problem is nonstationary, the requirement to update all the kernel weight locations is removed, and its complexity is reduced. Using computer simulations, we show that the number of kernel weights can be greatly reduced without compromising classification performance.

关键词： Adaptive equalizers Neural networks Neurons Semiconductor device noise Control systems Finite impulse response filter Feeds Delay Art Decision feedback equalizers

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Time series prediction based on non-parametric regression and wavelet-fractal

Time series prediction based on non-parametric regression an...

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international conference on Signal processing Proceedings (ICSP)

作者： Hao Xuefeng Xu De School of Computer Science & Information Technology Beijing Jiaotong University Beijing China

In this paper, a short-term time series prediction method is proposed. the method is based on the fundamental character of chaotic time series. By introducing the concept of series fractal time-varying dimension, a new standard of distance between two series is presented. With the wavelet transform, we search for the top k most nearest series in the history data set at different resolution ratio and use their neighbor series for prediction. the final result of prediction is obtained by summing up the individual results on each scale. Finally, we validate the approach on the prediction of real-time traffic data.

关键词： Fractals Chaos History Discrete wavelet transforms Wavelet analysis Kinetic theory Time series analysis Feathers Shape Statistics

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Automatic key-frames extraction to represent a video

Automatic key-frames extraction to represent a video

引用

international conference on Signal processing Proceedings (ICSP)

作者： Lang Congyan Xu De Cheng Wengang Feng Songhe School of Computer Science & Information Technology Beijing Jiaotong University Beijing China

An efficient video content representation using automatic key-frames extraction is presented in this paper. the proposed video-content representation provides the capability of the more efficient browsing digital video sequences. Firstly, each video sequence is partitioned into shots by applying a shot-cut detection algorithm. We construct multidimensional shot-level feature vector by fusing audio and visual information to describe the average frame properties of the shot. Secondly, shot selection is accomplished by clustering similar shots so that shots of similar content are gathered together. While for a given shot, key frames are extracted based on maximizing Kullback-Leibler divergence criterion for locating a key-frames set. An experimental system has been built up. Experiments verify the effectiveness of the proposed approach.

关键词： Data mining Entropy Video sequences Feature extraction Clustering algorithms Partitioning algorithms Algorithm design and analysis Detection algorithms information theory Random variables

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Gait analysis using LLE

Gait analysis using LLE

引用

international conference on Signal processing Proceedings (ICSP)

作者： Li Honggui Li Xingguo Electronic Department Physics College Yangzhou University Yangzhou China Department of Electronic Engineering Nanjing University of Science and Technology of PLA Nanjing China

In motion based gait recognition method, it is very important to detect gait cycle and extract dynamic features in a gait cycle. Gait has the property of cycle and there are similarities within adjacent frames of gait sequence. LLE is a nonlinear dimension reduction method which can preserve local geometry, so LLE is a suitable tool for analyzing gait cycle and dynamic features in a gait cycle. Experiments results show, 1-d LLE embedding of gait sequence has almost the same information as that of 2-d LLE embedding and is sufficient for gait analysis. Zero crossing of 1-d or 2-d LLE embedding shows gait cycle and the shape of 1-d or 2-d LLE embedding shows the dynamic features of gait.

关键词： Image analysis Videos Image sequence analysis Feature extraction Cost function Image databases Shape Humans Application software computer interfaces

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Frequency and time domain auditory masking threshold constrained Kalman filter for speech enhancement

Frequency and time domain auditory masking threshold constra...

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international conference on Signal processing Proceedings (ICSP)

作者： Ning Ma M. Bonchard R.A. Goubran School of Information Technology and Engineering University of Ottawa Ottawa Ontario Canada Ottawa University Ottawa KS US Sch. of Inf. Technol. & Eng. Ottawa Univ. Ont. Canada Department of Systems and Computer Engineering Carleton University Ottawa Ontario Canada

A constrained Kalman filtering algorithm based on auditory masking threshold is proposed for enhancing speech degraded by colored noise. the auditory masking threshold is used as a constraint to obtain a Kalman gain, which minimizes the estimate error variance under the constraint that the error power is smaller than the masking threshold. From the characteristics of the correlation vector, the power spectrum density and the masking threshold, a nonlinear constrained optimization problem is formed to calculate the Kalman gain. Simulation results show that the algorithm can improve subjective PESQ scores over both classic algorithms and recently published algorithms.

关键词： Masking threshold Speech enhancement Colored noise Kalman filters Degradation Speech processing Signal processing Covariance matrix Filtering algorithms Speech coding

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Unsupervised segmentation of the POL-SAR image using similarity parameters in sequential projection pursuit model

Unsupervised segmentation of the POL-SAR image using similar...

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international conference on Signal processing Proceedings (ICSP)

作者： Wei Lin Zheng Tian Xian-bin Wen Fan He Northwestern Polytechnical University Xi'an Shaanxi CN Dept. of Math. & Inf. Sci. Northwestern Polytech. Univ. Xi'an China Department of Computer Science and Technology Northwestern Polytechnical University Xi'an China Department of Mathematics and Information Science Northwestern Polytechnical University Xi'an China

A sequential projection pursuit model (SPPM) for unsupervised segmentation of the polarimetric synthetic aperture radar (POL-SAR) image is proposed in this paper. the features of the high dimension data are extracted out via orthogonal projection and the classification is accomplished by the Bayesian decision rule. Also the similarity parameters of POL-data are expressed as the characters of a target and form new target data. the SPPM utilizes new target data to classify the target into various subclasses. Good-segmented results have been obtained for the POL-SAR image processing. the segmented results using the SPPM are better than that of using entropy-alpha plane.

关键词： Image segmentation Radar scattering Scattering parameters Mathematical model Remote sensing Radar imaging Statistical distributions Reflection Entropy Vectors

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Notice of Violation of IEEE Publication Principles: Secure audit logs with forward integrity message authentication codes

Notice of Violation of IEEE Publication Principles: Secure a...

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international conference on Signal processing Proceedings (ICSP)

作者： Jiang Tao Liu Ji-qiang Han Zhen School of Computer and Information Technology Beijing Jiaotong University Beijing China

Notice of Violation of IEEE Publication Principles "Secure Audit Logs with Forward Integrity Message Authentication Codes" by Tao Jiang, Ji-qiang Liu, Zhen Han in the Proceedings of the international conference on Signal processing, September 2004, pp. 2655-2658 After careful and considered review of the content and authorship of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE's Publication Principles. this paper contains portions of original text from the paper cited below. the original text was copied with insufficient attribution (including appropriate references to the original author(s) and/or paper title) and without permission. "Forward Integrity for Secure Audit Logs" by Mihir Bellare and Bennet S. Yee in Technical Report CS98-580, Department of computer Science and Engineering, University of California at San Diego, November 1997 "Cryptographic Support for Secure Logs on Untrusted Machines" by Bruce Schneier, John Kelsey in the Seventh USENIX Security Symposium Proceedings, USENIX Press, January 1998, pp. 53-62 We propose a forward integrity message authentication codes (MACs) method making all log entries generated prior to the logging machine's compromise impossible for the attacker to modify or destroy undetectably. As a good solution to keep the log data from being tempered with, the method is used in a system called secure log server in which we collect the log information for further system monitoring and auditing in our own way. A prototype was developed and the impact of its deployment in a real environment was measured.

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A multiview face recognition based on combined feature with clonal selection

A multiview face recognition based on combined feature with ...

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international conference on Signal processing Proceedings (ICSP)

作者： Liu Fang Li Chaoyang School of Computer Science and Technology Xidian University Xi'an China

the profile view of a face provides a complementary information, it is very important to face recognition. this paper construct novel the classification system combining both frontal mid profile views of faces can improve the classification accuracy and decrease cost tune. In this paper, we apply self-organizing map (SOM) and minor component (MC) to extract face feature from multiview and combine these features vector to a new combined feature set. Immune Clonal Selection Algorithm is applied to search for better feature sets trough rotation transformations, thus, one is help to reduce classifier cost. then, support vector machine (SVM) is used as classifier, which have demonstrated high generalization capabilities. Simulation experiments were made on two different face test databases, achieving very high recognition result than PCA and Fisher methods with relative low classification cost.

关键词： Face recognition Costs Support vector machines Support vector machine classification Testing Principal component analysis Fingerprint recognition Speech recognition Neural networks Feature extraction

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Curved surface orientation from shading and surface style indication

Curved surface orientation from shading and surface style in...

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international conference on Signal processing Proceedings (ICSP)

作者： Xu Ming Zhao Rongchun P. Maria Department of Computer Science and Engineering Northwest Polytechnical University Xi'an China School of Electronic Engineering Information Technology & Mathematics University of Surrey Guildford Surrey U.K

this paper develops a new algorithm for extracting 3D surface normal from 2D intensity image, specified for integration of stereo vision and shape from shading. Every curved surface patch is classified into one of four types: dome, cup. horizontal saddle and vertical saddle, according to its signs of surface horizontal and vertical curvatures. And the surface patch style could be derived from the sparse depth set of stereo vision. Four basic operators are designed individually to extract the surface orientation corresponding to each kind of surface patch style. the algorithm is based on Lambertian brightness equation and the orthogonality between surface normal and its tangent vectors. A local optimal method is used to ensure the brightness consistency. It is shown that the new algorithm performs well at the patches where their surface style matches the type of the applied operator.

关键词： Surface topography Stereo vision Brightness Equations Shape Sparks Robustness

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