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wavlet
图像小波变换，可以求图像小波分解系数图，阶数可以自己设定(tuxiangxiaobobianhuan)
- 2010-05-30 22:19:25下载
- 积分：1
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image fusion
用MATLAB编写的利用小波变换对多聚焦图像的融合。(The fusion of multi focus images with wavelet transform is written in MATLAB.)
- 2017-12-09 19:51:50下载
- 积分：1
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fft
复倒谱分析及最小相位法实验，用MATLAB编程实现求取复倒谱，在求取复倒谱的过程中采用最小相位法避免相位卷绕。
(err)
- 2020-12-25 22:19:05下载
- 积分：1
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DWT.m
离散小波变换的简单程序，适合初学者学习，附有通用函数。(Simple procedures discrete wavelet transform, suitable for beginners to learn, with common functions.)
- 2014-11-01 10:59:44下载
- 积分：1
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AAA_Wavelet-Tutorial
一篇很好的小波变换英文入门资料，附有注释，对想了解小波变换的初学者十分有益。(A good wavelet transform introductory information in English, annotated, very useful for beginners want to learn wavelet transform.)
- 2012-09-21 10:51:11下载
- 积分：1
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DWT_1D
本程序用Mallat算法实现小波变换,方法简答以实现(This program uses the mallat algorithe to implement wavelet transform)
- 2017-11-21 11:42:10下载
- 积分：1
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wavelet-pudn-3
wavelet transforms in advanced forms
- 2014-01-12 06:02:24下载
- 积分：1
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Daubechies-wavelet
实现构造小波基，求解小波尺度函数离散整数点的值以及实现尺度函数经伸缩后的离散值等功能。(Implement the constructor wavelet basis functions to solve the discrete wavelet scale and the realization of the value of an integer point scale after scaling function by a discrete value functions.)
- 2011-11-04 22:29:58下载
- 积分：1
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zsb
用于折射波处理时的to、θ函数法求界面深度，浅层地震(Used for refraction wave in processing, θ function method to ask interface depth, shallow earthquake)
- 2020-12-20 10:59:10下载
- 积分：1
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Wavelet-dec--rec
在理解了离散小波变换的基本原理和算法的基础上，通过设计VC程序对简单的一维信 号在加上了高斯白噪声之后进行Daubechies小波、Morlet小波和Haar小波变换，从而得到小波分解系数；再通过改变分解得到的各层高频系数进行信号的小波重构达到消噪的目的。在这一程序实现的过程中能直观地理解信号小波分解重构的过程和在信号消噪中的重要作用，以及在对各层高频系数进行权重处理时系数的选取对信号消噪效果的影响。(In understanding the basis of discrete wavelet transform basic principles and algorithms, through the design VC program Daubechies wavelet, Morlet wavelet and Haar wavelet transform after a simple one-dimensional signal plus a Gaussian white noise, resulting wavelet coefficients wavelet reconstruction signal again by changing the layers to achieve high-frequency coefficients decomposed noise cancellation purposes. Can intuitively understand wavelet decomposition and reconstruction process and an important role in signal de-noising in the process of implementation of this program, and in the high-frequency coefficients when the weight of the layers selected for signal processing coefficients denoising affected.)
- 2014-07-10 18:16:49下载
- 积分：1
