3

将图像按位平面分解，然后在最低有效为嵌入一定的信息，达到数字隐藏的作用，是最原始的数字水印技术(image caput plane decomposition, and then embedded in the lowest effective for certain information, to hide the figures, is the most primitive digital watermarking technology)

说明：  基于PCA的遥感图像融合，效果不错。可以作为遥感图像融合方面入门学习使用。(PCA-based remote sensing image fusion, good results. Integration of remote sensing images can be used as an introduction to use.)

一篇不错的智能算法结合小波的论文，非常不错的论文(goodpapersaboutwaveletandintelligencealgorithm)

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.)

说明：  关于小波变换的一些常用函数，有关多尺度变换，希望可以帮助您(Wavelet commonly used functions, on multi-scale transformation, I hope to help you)

小波变换(wavelet transform，WT)是一种新的变换分析方法，它继承和发展了短时傅立叶变换局部化的思想，同时又克服了窗口大小不随频率变化等缺点，能够提供一个随频率改变的"时间-频率"窗口，是进行信号时频分析和处理的理想工具。它的主要特点是通过变换能够充分突出问题某些方面的特征，能对时间(空间)频率的局部化分析，通过伸缩平移运算对信号(函数)逐步进行多尺度细化，最终达到高频处时间细分，低频处频率细分，能自动适应时频信号分析的要求，从而可聚焦到信号的任意细节，解决了Fourier变换的困难问题，成为继Fourier变换以来在科学方法上的重大突破。(Wavelet transform (WT) is a new transform analysis method. It inherits and develops the idea of localization of short-time Fourier transform and overcomes the shortcomings that window size does not vary with frequency. It can provide a frequency-dependent The Time-Frequency window is ideal for time-frequency analysis and processing of signals. Its main feature is that by transforming some features that can fully highlight some aspects of the problem, the localization of the time (space) frequency can be analyzed, and the signal (function) can be gradually and multi-scale refined by the scaling operation, finally reaching the high frequency Time subdivision, frequency subdivision at low frequencies, can automatically adapt to the requirements of time-frequency signal analysis, which can focus on any details of the signal to solve the difficulties of Fourier transform has become a major breakthrough in the scientific method since Fourier transform.)

采用小波变换的方法实现心电信号的滤波，分别使用了硬阈值、软阈值和改进阈值方法，并实现了滤波效果的评价（均方差和信噪比）(Wavelet transform of ECG signal filtering method, respectively, using a hard threshold and soft threshold and improve the threshold method, and to achieve the filtering effect of the evaluation (both variance and signal to noise ratio))

降水小波分析 用于分析降水序列的周期变化规律(Wavelet analysis of rainfall series for the analysis of the cycle variation of precipitation)

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)

小波阈值法去噪的程序，其中有关于信噪比和均方根误差的公式(wavelet denoising)