Description:
此函数用于研究Mallet算法及滤波器设计
此函数用于消噪处理
分解的高频系数采用db9较好,即它的消失矩较大
分解的有用信号小波高频系数基本趋于零
对于噪声信号高频分解系数很大,便于阈值消噪处理-this function for research Mallet filter algorithm design and function for Denoising decomposition of high-frequency coefficients Terminal better that it's vanishing moments larger decomposition of useful signal, high-frequency coefficients tends to zero for high-frequency signal noise decomposition coefficient great ease threshold Denoising Platform: |
Size: 1024 |
Author:wangli |
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Description: 立方B样条小波均值插值实现,适用于一维信号,此外还有消失矩的一些应用实例-Cubic B-spline wavelet interpolation realize average for one-dimensional signal, in addition to a number of vanishing moments Application Platform: |
Size: 1024 |
Author:xiaowu |
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Description: 2代小波示意程序
2维小波变换经典程序
Daubechies小波基的构造
采用多孔trous算法(undecimated wavelet transform)实现小波变换
平移变换平移法(cycle_spinning)消除gibbs效应
提升法97经典程序
消失矩作用的程序
小波插值与小波构造
小波滤波器构造和消噪程序
小波谱分析mallat算法经典程序-2 Generation Wavelet indicated procedures classic 2-D wavelet transform procedures for Daubechies wavelet bases constructed using porous trous algorithm (undecimated wavelet transform) the realization of wavelet transform translational translational transform method (cycle_spinning) to eliminate Gibbs effect of lifting 97 vanishing moments the role of the classic procedure of wavelet interpolation procedure value structure of wavelet and wavelet de-noising filter structure and procedures of small Mallat algorithm for spectral analysis of the classical procedures Platform: |
Size: 9216 |
Author:马成 |
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Description: MATLAB Code for Optimal Quincunx Filter
Bank Design
Yi Chen
July 17, 2006
This file introduces the MATLAB code that implements the two algorithms (i.e., Algorithms
1 and 2 in [1], or Algorithms 4.1 and 4.2 in [2]) used for the construction of
quincunx filter banks with perfect reconstruction, linear phase, high coding gain, certain
vanishing moments properties, and good frequency selectivity. The code can be
used to design quincunx filter banks with two, three, or four lifting steps. The SeDuMi
Matlab toolbox [3] is used to solve the second-order cone programming subproblems
in the two algorithms, and must be installed in order for this code to work. Platform: |
Size: 54272 |
Author:lzn |
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Description: 在本实验中,小波函数采用Daubechies小波,取10阶消失矩的Daubechies滤波器。对图像数据进行一级小波变换并利用变换得到的数据进行图像重建。-In this experiment, the wavelet function using Daubechies wavelet, taking 10 first-order vanishing moments of the Daubechies filter. The image data, a wavelet transform to the data obtained and used for image reconstruction. Platform: |
Size: 2048 |
Author:wangming |
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Description: A new approach to vanishing point detection in architectural environments一种寻找消失点的新算法-A new approach to vanishing point detection in architectural environments Platform: |
Size: 356352 |
Author:liuhao |
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Description: 这个代码能够比较精确地实现图像中道路区域的分割与提取。-This code addresses this question by
decomposing the road detection process into two steps: the estimation
of the vanishing point associated with the main (straight) part
of the road, followed by the segmentation of the corresponding
road area based upon the detected vanishing point. The main
technical contributions of the proposed approach are a novel
adaptive soft voting scheme based upon a local voting region using
high-confidence voters, whose texture orientations are computed
using Gabor filters, and a new vanishing-point-constrained edge
detection technique for detecting road boundaries. Platform: |
Size: 4096 |
Author:邵文 |
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Description: 电压跌落是最严重的动态电能质量问题之一,
精确定位电压跌落起止时间是应对电压跌落问题的
重要前提和基础。由于电压采样信号往往有噪声分
量,现有的方法在定位电压跌落的起止时间时存在
局限性。本文提出利用多小波变换及相邻系数去噪
的电压跌落定位方法。多小波兼有对称性、正交性、
有限支撑性和二阶消失矩等优异的信号处理性能,
利用GHM多小波可以准确定位电压跌落起止时间。
多小波变换系数在每层之间具有对应关系,多小波
相邻系数将紧相邻的若干个系数作为一个整体来确
定阈值,考虑了系数之间的相关性,能获得更好的
去噪效果。通过 Matlab 进行仿真验证,仿真结果表
明,所提出的方法的正确性。
-Voltage sag is one of the most serious
dynamic power quality problems. Critical start-time
and end-time are important indices for voltage sags.
But the sampling signals often have noisy component,
the locations of start-time and end-time are hard to get.
Wavelet is an effective tool for those non-stationary
signal processing and has been used in this field. Local
feature in the signal can be enlarged after the
transformation using the scalar wavelet. But scalar
wavelets cannot contain orthogonality, symmetry,
compact support and higher order of vanishing
moments simultaneously. In this thesis, multi-wavelets
GHM is used to detect and locate power quality
disturbances. Multi-wavelets offer many excellent
properties such as the same approximation order but
more compact support. The dependence of the
multi-wavelets coefficients varies with the level, so
neighboring coefficien Platform: |
Size: 1363968 |
Author:李荣 |
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