Description: 基于多分辨分析的数值积分算法
介绍一种积分算法-multiresolution analysis based on the numerical integration algorithm introduces a integral algorithm Platform: |
Size: 96696 |
Author:客户 |
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Description: 用于多分辨率分析中的重建，使用 A trous 算法-for multiresolution analysis of the reconstruction algorithm used A trous Platform: |
Size: 883 |
Author:李坤 |
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Description: 用于多分辨率分析中的重建，使用 A trous 算法-for multiresolution analysis of the reconstruction algorithm used A trous Platform: |
Size: 1024 |
Author:李坤 |
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Description: 小波十讲主要讲述小波变换的原理和应用，包括一维连续小波变化，离散小波变换，多分辨率分析和二维小波变换等内容。-Ten Lectures on Wavelets focuses on the principle of wavelet transform and applications, including changes in one-dimensional continuous wavelet, discrete wavelet transform, multiresolution analysis and two-dimensional wavelet transform and so on. Platform: |
Size: 6028288 |
Author:dianlian |
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Description: 基于多分辨分析的递阶逼近思想,采用正交小波网络研究了输入样本空间分布非均匀时非线性系统的
辨识问题. 重点讨论了样本非均匀时网格系的设计问题,并给出了基于该网格系的在线递阶辨识算法. 最后利用正
交小波网络分别对非线性静态和动态系统进行了仿真辨识.-Multiresolution analysis based on Hierarchical Approximation thinking, the use of orthogonal wavelet network to study the spatial distribution of input samples of non-uniform when the identification of nonlinear systems. Focused on the sample of non-uniform grid lines when the design problems, and gives based on the grid line-line hierarchical identification algorithm. Finally the use of orthogonal wavelet network respectively, the nonlinear static and dynamic system simulation identification. Platform: |
Size: 340992 |
Author:guole |
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Description: This paper identifies a novel feature space to
address the problem of human face recognition from
still images. This based on the PCA space of the
features extracted by a new multiresolution analysis
tool called Fast Discrete Curvelet Transform. Curvelet
Transform has better directional and edge
representation abilities than widely used wavelet
transform. Inspired by these attractive attributes of
curvelets, we introduce the idea of decomposing
images into its curvelet subbands and applying PCA
(Principal Component Analysis) on the selected
subbands in order to create a representative feature
set. Experiments have been designed for both single
and multiple training images per subject. A
comparative study with wavelet-based and traditional
PCA techniques is also presented. High accuracy rate
achieved by the proposed method for two well-known
databases indicates the potential of this curvelet based
feature extraction method.-This paper identifies a novel feature space to
address the problem of human face recognition from
still images. This is based on the PCA space of the
features extracted by a new multiresolution analysis
tool called Fast Discrete Curvelet Transform. Curvelet
Transform has better directional and edge
representation abilities than widely used wavelet
transform. Inspired by these attractive attributes of
curvelets, we introduce the idea of decomposing
images into its curvelet subbands and applying PCA
(Principal Component Analysis) on the selected
subbands in order to create a representative feature
set. Experiments have been designed for both single
and multiple training images per subject. A
comparative study with wavelet-based and traditional
PCA techniques is also presented. High accuracy rate
achieved by the proposed method for two well-known
databases indicates the potential of this curvelet based
feature extraction method. Platform: |
Size: 432128 |
Author:Swati |
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Description: 这是比较新的方向多分辨率分析技术--surfacelets,提供理论文章和源码-This is the new multiresolution analysis scheme--surfacelets,giving you the papers and matlab code Platform: |
Size: 10013696 |
Author:沈郑燕 |
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Description: The Hilbert–Huang method is presented with modifications,
for time-frequency analysis of distorted power quality signals.
The empirical mode decomposition (EMD) is enhanced with
masking signals based on fast Fourier transform (FFT), for separating
frequencies that lie within an octave. Further, the instantaneous
frequency and amplitude of the constituent modes obtained
by Hilbert spectral analysis are improved by demodulation. The
method shows promising time-frequency-magnitude localization
capabilities for distorted power quality signals. The performance
of the new technique is compared with that of another multiresolution
analysis tool, the S-transform—a phase corrected wavelet
transform. Analysis on actual measurements of transformer inrush
current from an existing laboratory setup is used to demonstrate
this technique. Platform: |
Size: 835584 |
Author:imed |
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Search - multiresolution analysis