matlab-cwt

matlab编的瑞利面波的正演模拟，用于浅层地震勘探研究(Matlab compiled Rayleigh wave in the forward modeling of, used in the shallow seismic exploration and research )

小波变换在图像处理中应用于图像分析，图像压缩，图像去噪等。本文就小波变换理论和matlab语言的小波分析工具箱做了简单阐述。(Wavelet transform in image processing applied to image analysis, image compression, image denoising, etc.. In this paper, wavelet transform theory and wavelet analysis matlab language to do the simple toolbox on.)

整数小波变换，可以直接运行，对图像小波分解(Integer wavelet transform)

　　　作为一种新型的有效的版权保护手段，数字水印技术倍受人们的关注。数字水印主要是通过在原始资料中嵌入秘密信息——水印,来证实资料的所有权。本文介绍了数字水印技术的基本原理及其分类，然后对数字水印讨论了一种基于LSB的数字图像水印算法,最后利用MATLAB7.6对这一算法进行了实现。(As a new effective means of copyright protection, digital watermarking technology much attention. The digital watermark secret information- the watermark embedded in the raw data, to prove ownership of the data. This article describes the basic principles of their classification of digital watermarking technology and digital watermarking digital image watermarking algorithm based LSB, and finally the use of this algorithm matlab7.6 achieve.)

波的合成及拍频现象实例，输入两正弦波的振幅、初相位及频率观察波的合成及拍频现象(Synthesis and beat frequency wave phenomena instance, enter the two sine wave amplitude, initial phase and frequency of observation of waves synthesis and beat frequency phenomenon)

说明：  该函数用于读取ecg信号，找到小波变换模极大序列(function to read the ECG signal, find wavelet transform modulus maxima sequence)

离散小波变换与离散小波反变换 快速小波变换（Mallat小波分解算法）：对一幅图像做2级小波分解（离散小波变换）与合成（离散小波反变换）(Discrete wavelet transform and discrete wavelet inverse transform fast wavelet transform (Mallat wavelet decomposition): For an image to do 2 wavelet transform (DWT) and synthesis (discrete wavelet inverse transform))

curvelet lab,其中包括curvelets的matlab工具箱以及C语言开发(curvelet lab, including the matlab toolbox curvelets as well as the C language development)

用于进行小波变换，对原始的光谱图像数据进行预处理(Used wavelet transform, the original spectral image data preprocessing)

谐波小波包分解程序，并且将其应用于声发射信号特征提取(Harmonic wavelet packet decomposition procedure, and will be applied to acoustic emission signal feature extraction)