▍1. CurveLab-2.1.3
可用于曲波变换的工具箱,用于含噪声的图像的去噪过程,图像分解,有例子可直接运行。只可用于学术研究目的。(the Latest curvelet transform lab tool ,Non-commercial research use for Academics. Image decomposition, there are examples can be run directly.)
可用于曲波变换的工具箱,用于含噪声的图像的去噪过程,图像分解,有例子可直接运行。只可用于学术研究目的。(the Latest curvelet transform lab tool ,Non-commercial research use for Academics. Image decomposition, there are examples can be run directly.)
小波方法进行降噪,阈值函数来完成不同设计,核心程序如下面的所示,使用的小波基有coif5,db3,sym4,bior2.4,haar,rbio(Wavelet method for noise reduction, design to complete different threshold function, the core program as shown below, using the wavelet base coif5, db3, sym4, bior2.4, haar, rbio )
小波方法进行降噪,阈值函数来完成不同设计,核心程序如下面的所示,使用的小波基有coif5,db3,sym4,bior2.4,haar,rbio(Wavelet method for noise reduction, design to complete different threshold function, the core program as shown below, using the wavelet base coif5, db3, sym4, bior2.4, haar, rbio )
说明: 2.1 傅里叶变换 2.1.1 经典傅里叶变换 2.1.2 傅里叶变换的基本性质 2.1.3 快速傅里叶变换 2.1.4 短时傅里叶变换 2.2 小波分析与多分辨率分析的历史 2.3 小波分析与傅里叶变换的对比 2.4 小波变换 2.4.1 连续小波变换 2.4.2 离散小波变换 2.4.3 高维小波连续变换 2.5 常用小波基函数 2.5.1 小波函数 2.5.2 小波函数系 2.5.3 复数小波 2.6 构造紧支撑正常小波基 2.7 多分辨率分析与小波构造 2.8 分析小波包 2.8.1 小波包的定义及性质 2.8.2 分解小波包的空间 2.8.3 小波包算法(2.1 Fourier transform 2.1.1 classical Fourier transform 2.1.2 The basic properties of the Fourier transform 2.1.3 Fast Fourier Transform 2.1.4 short time Fourier transform 2.2 wavelet analysis and multi-resolution analysis of the history of 2.3 Wavelet Analysis and comparison of the Fourier transform 2.4 Wavelet Transform 2.4.1 Continuous Wavelet Transform 2.4.2 Discrete Wavelet Transform 2.4.3 Continuous high-dimensional wavelet transform 2.5 Common wavelet basis function 2.5.1 wavelet function 2.5.2 Department of wavelet function 2.5.3 Complex Wavelet 2.6 Construction of compactly supported wavelets normal More than 2.7 resolution analysis and wavelet construction 2.8 Analysis of Wavelet Packet 2.8.1 Definition and properties of wavelet packet 2.8.2 wavelet packet decomposition space 2.8.3 Wavelet Packet Algorithm)
2.1 傅里叶变换 2.1.1 经典傅里叶变换 2.1.2 傅里叶变换的基本性质 2.1.3 快速傅里叶变换 2.1.4 短时傅里叶变换 2.2 小波分析与多分辨率分析的历史 2.3 小波分析与傅里叶变换的对比 2.4 小波变换 2.4.1 连续小波变换 2.4.2 离散小波变换 2.4.3 高维小波连续变换 2.5 常用小波基函数 2.5.1 小波函数 2.5.2 小波函数系 2.5.3 复数小波 2.6 构造紧支撑正常小波基 2.7 多分辨率分析与小波构造 2.8 分析小波包 2.8.1 小波包的定义及性质 2.8.2 分解小波包的空间 2.8.3 小波包算法(2.1 Fourier transform 2.1.1 classical Fourier transform 2.1.2 The basic properties of the Fourier transform 2.1.3 Fast Fourier Transform 2.1.4 short time Fourier transform 2.2 wavelet analysis and multi-resolution analysis of the history of 2.3 Wavelet Analysis and comparison of the Fourier transform 2.4 Wavelet Transform 2.4.1 Continuous Wavelet Transform 2.4.2 Discrete Wavelet Transform 2.4.3 Continuous high-dimensional wavelet transform 2.5 Common wavelet basis function 2.5.1 wavelet function 2.5.2 Department of wavelet function 2.5.3 Complex Wavelet 2.6 Construction of compactly supported wavelets normal More than 2.7 resolution analysis and wavelet construction 2.8 Analysis of Wavelet Packet 2.8.1 Definition and properties of wavelet packet 2.8.2 wavelet packet decomposition space 2.8.3 Wavelet Packet Algorithm)
对含噪声信号进行小波变换;对变换得到的小波系数进行某种处理,以去除其中包含的噪声;对处理后的小波系数进行小波逆变换,得到去噪后的信号(Containing noise signal wavelet transform the wavelet transform coefficients to a treatment to remove the noise contained therein the treated wavelet inverse wavelet transform coefficients to obtain a denoised signal)
利用连续小波变换,交叉小波变换研究ENSO对长江流域径流的影响。(Using the continuous wavelet transform, ENSO cross wavelet transform research on the influence of the Yangtze river basin runoff.)
希尔伯特变换和小波包结合的齿轮箱故障诊断方法,里面有具体的介绍小波包的分层方法,非常详细,可以下下来看看(Hilbert transform and wavelet packet of gearbox fault diagnosis method, there is detailed introduction inside the layered method of wavelet packet is very detailed, can down and have a look )
希尔伯特变换和小波包结合的齿轮箱故障诊断方法,里面有具体的介绍小波包的分层方法,非常详细,可以下下来看看(Hilbert transform and wavelet packet of gearbox fault diagnosis method, there is detailed introduction inside the layered method of wavelet packet is very detailed, can down and have a look )
一种基于EMD分解后对imf分量利用小波分解进行去噪的方法,给出了相应的例子,有注释(Based on the EMD decomposition after the imf component by using the method of wavelet decomposition denoising, corresponding examples are given, with comments)
一种基于EMD分解后对imf分量利用小波分解进行去噪的方法,给出了相应的例子,有注释(Based on the EMD decomposition after the imf component by using the method of wavelet decomposition denoising, corresponding examples are given, with comments)
小波变换,小波去噪,包含多种去噪方法,模极大值,自适应,阈值去噪(Wavelet transform, wavelet denoising, including multiple Denoising, modulus maxima, adaptive thresholding)
小波变换,小波去噪,包含多种去噪方法,模极大值,自适应,阈值去噪(Wavelet transform, wavelet denoising, including multiple Denoising, modulus maxima, adaptive thresholding)
本书简明扼要地介绍了时间序列及其相关领域的基本概念和基本理论,对ARMA序列预测、时间序列的统计分析、时间序列的时频分析和时间序列的小波变换等给出了有关分析计算方法,结合MATLAB编程应用,介绍了MATLAB时间序列分析有关函数的功能和用法,阐述了如何利用这些函数解决工程应用中的问题。(This book succinctly describes the time sequence and its related fields of basic concepts and theories of the ARMA series forecasting, time series statistical analysis, time series analysis and time-frequency wavelet transform of time series analysis and calculation are given about methods, combined with MATLAB programming applications, the introduction of time series analysis MATLAB functions about functions and usage, explains how to use these functions to solve engineering problems in the application.)
使用DCT和小波变换的数字音频水印生成/解码程序,可存活于方差0.05的高斯白噪声及不同程度的剪切。内含程序/测试文件介绍。(Digital wartermarking encoding/decoding program with DCT and wavelet transform. nice robustness against Gaussian noise with variance less than 0.05 and any type of cropping attack. functions/test files introduction included)
使用DCT和小波变换的数字音频水印生成/解码程序,可存活于方差0.05的高斯白噪声及不同程度的剪切。内含程序/测试文件介绍。(Digital wartermarking encoding/decoding program with DCT and wavelet transform. nice robustness against Gaussian noise with variance less than 0.05 and any type of cropping attack. functions/test files introduction included)