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A new cable fault location method based on
wavelet reconstruction is proposed. In this method the
difference between the currents of faulty phase and sound
phase under the high voltage pulse excitation is used as the
measured signal and is de
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基于小波变换的图像压缩感知 并且进行OMP重建
对压缩感知的性能与采样点数进行性能分析与比较-Image compression based on wavelet transform perception and the OMP reconstruction performance of compressed sensing and sample analysis and comparison of performance points
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通过matlab实现二维离散小波变换的Mallat快速算法源程序和对二维图像进行多级分解与重建-Matlab achieved by two-dimensional discrete wavelet transform Mallat fast algorithm and multi-dimensional image decomposition and reconstruction
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VC++编写的小波变换源码，可以实现小波分解与重构算法-VC++ Prepared wavelet transform source code, you can achieve the wavelet decomposition and reconstruction algorithm
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小波去噪程序原码。包括小波分解、重建、阈值门限设置等-Source wavelet denoising procedures. Including wavelet decomposition, reconstruction, threshold settings, such as threshold
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基于小波分析的图像压缩以其重建，代码很好的实现了这一功能。-Wavelet-based image compression for its reconstruction, to achieve a good code of this function.
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基于MFC对话框的哈尔小波重构分解，以及在小波域的拼接，代码有详细注释-MFC dialog-based reconstruction of Haar wavelet decomposition, as well as in the wavelet domain of splicing, a detailed code Notes
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Image denoising with wavelet
We first load an image, and add some noise to it
The orthogonal wavelet transform is not very efficient for image denoising because it lacks translation invariance. This is why there is so many reconstruction artifact
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用小波对语音信号进行分解与重构（matlab）-Voice signals using wavelet decomposition and reconstruction (matlab)
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c语言编写的db4小波变换程序，包含滤波器函数，小波分析和小波重构，可以直接使用，对写其它小波程序有参考价值。-written in c db4 wavelet transform procedures, including filter functions, wavelet analysis and wavelet reconstruction, can be used directly on to write other wavelet process a valuable referenc
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小波谱分析mallat算法经典程序，对原始信号进行低高频的信号分解以及重构，并且进行对比分析。-Algorithm for spectral analysis mallat small classic procedure, the original signal with low frequency signal decomposition and reconstruction, and compared.
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A new approach for fingerprint verification, based on wavelets and pseudo Zernike moments (PZMs), is
discussed. PZMs are robust to noisy images, invariant to rotation and have a good image reconstruction
capability [4]. PZMs have been used for
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很好的小波应用实例文档，介总结内容有小波用于去噪、图像压缩、边界扭曲、图像融合、小波包的分解和重构等等，附详细的MAMTLAB代码-Application of wavelet good document, refer to summarize the contents of wavelet denoising, image compression, border distortions, image fusion, wavelet packet decomposition and recons
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integer wavelet reconstruction
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main executing reference usage: observeWaveletDecompositionBenchmark_N_levels.m
The objective is to illustrate wavelet decomposition, and to describe how operations may be done in the wavelet domain before the reconstruction. The demo decouples
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用matlab编写的基于Haar小波变换的图像增强处理，同时可实现小波正变换，小波逆变换，实现小波分解与重构源代码。-Written by matlab Haar wavelet-based image enhancement processing, and can achieve positive wavelet transform, inverse wavelet transform, wavelet decomposition and reconstruction to achieve t
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分为三个函数，第一个函数的功能是用于读取ecg信号，找到小波变换模极大序列；第二个函数是子程序，用于多分辨率分解，使用 A trous 算法在分解的过程中，同时给出各级的细节和概貌，它们和原数据有着同样的长度；第三个函数是函数子程序，用于多分辨率分析中的重建。-Divided into three functions, the function of the first function is used to read the ecg signal, find the wavelet trans
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对信号进行小波分析，小波分解，小波重构,小波分析法滤波的步骤程序。-The signal analysis, wavelet decomposition, wavelet reconstruction, wavelet analysis filtering step process.
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几个有关小波滤波器设计，小波重构，小波去噪和算法的程序。-Several relevant wavelet filter design, wavelet reconstruction, wavelet denoising and arithmetics.
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信号去噪的基本步骤：
（1）信号的小波分解；
（2）小波分解高频系数的阈值量化；
（3）信号的小波重构。使用分解的低频系数以及阈值量化后的高频系数进行小波重构。
-The basic steps of signal denoising:( 1) of the wavelet decomposition of signals ( 2) the high frequency coefficients of wavelet decomposition threshold quan
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