Wavelet-packet-process

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.)

说明：  主要针对道路提取程序，使用二值法和形态法(Road extraction procedures, using binary and morphological methods)

小波包分解与重构使用，最佳树使用方法。小波分析理论与MATLAB实现实例。很好的程序，希望对大家有用。(Wavelet packet decomposition and reconstruction using the best tree to use. MATLAB implementation of wavelet analysis theory and examples. Very good program, I hope all of us. )

基于DB4 的小波变换，实现了小波的分解与重构，可根据实际需要修改阈值的选取方法(Based DB4 wavelet transform to achieve wavelet decomposition and reconstruction, according to the actual need to modify the threshold selection method)

雷达系统设计部分信号处理程序，包括部分目标和干扰模型、匹配滤波、波形设计、多普勒处理、门限检测及恒虚警率等方面信号处理的程序(Signal processing program for radar system design)

本文实现基于贝叶斯(BAYES)阈值的小波(WAVELET)图像去噪算法，相比较其它的小波去噪算法而言，效果非常好(This realization based on Bayesian (BAYES) Threshold the wavelet (WAVELET) image denoising algorithm, compared with other wavelet denoising algorithm, the effect was very good)

本程序是在labview中利用小波变换理论检测回波(This procedure is in the use of wavelet transform theory labview echo detection)

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：  论文主要包括基于小波变换语音增强的各种算法的介绍。(Articles include speech enhancement based on wavelet transform introduces a variety of algorithms.)

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.)