BackProjectionbyrao

这是本人的图像处理作业 包括利用各种基于小波的去噪过程，如硬阈值 软阈值等。。内容很丰富哦！相信一定对你有帮助的！(This is my image processing operations including the use of wavelet-based de-noising process, such as a hard threshold, such as soft-thresholding. . Oh, the content is very rich! I am sure will help you!)

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)

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)

小波变换、EMD以及EMD结合小波变换几种常用的时频去噪方法的对比分析(Wavelet transform, EMD and the EMD of several commonly used wavelet transform time-frequency denoising Comparative Analysis)

一个基于小波变换的数据聚类样例 Matlab实现(A sample Matlab based on wavelet transform data clustering)

FMCW调频连续波雷达的测距测角，可以得到很精确的幅值、频率、相位估计，有小波分析的盲信号处理。( FMCW frequency modulated continuous wave radar range and angular measurements, You can get a very accurate amplitude, frequency, phase estimation, There Wavelet Analysis Blind Signal Processing.)

说明：  利用Gabor滤波器提取图像纹理特征，用于图像分类模式识别(Extract the texture feature using Gabor filter/wavelet. You should first generate cell array G, which is a set of kernels in freq domain, then pass G and the image to the function GABORCONV.)

自己编写的αβγ滤波器工具函数，能够实现其滤波和平滑功能(Αβγ filter tool to write your own functions to achieve its filtering and smoothing function)

离散小波变换在图像处理去噪中的应用 经典文献 IEEE的(ECG signal compression using 2-D DWT Hermite coefficients)

信号处理小波分析 1)计算信号的小波变换。 2)求出模极大曲线。 3)计算其中两个奇异点的Lipschitz指数。 (Signal processing wavelet analysis 1) the calculation of wavelet transform signals. 2) calculated curve of modulus maxima. 3) the calculation of which two singular points of Lipschitz index.)