基于小波变换的信号奇异性检测及去噪例程

说明：  GPS导航中抗差自适应Kalman滤波算法，Matlab源代码。(GPS navigation robust adaptive Kalman filtering algorithms, source code Matlab.)

用于折射波处理时的to、θ函数法求界面深度，浅层地震(Used for refraction wave in processing, θ function method to ask interface depth, shallow earthquake)

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.)

一维小波变换的MATLAB实现方法，包括一维连续小波变换和离散小波变换。(MATLAB in a one-dimensional wavelet transform methods, including the one-dimensional continuous wavelet transform and discrete wavelet transform.)

对雷达信号进行预处理。输入设定的LFM信号，进行数字正交解调以及匹配滤波最后是相参积累。从而得到LFM信号频谱图，解调后的频谱，想干积累输出等结果。 (The radar signal preprocessing. Input set of LFM signal, digital quadrature demodulation and matched filtering the last coherent integration. LFM signal spectrum, the demodulated spectrum accumulated wanted output results.)

说明：  压缩包中为小波变换的程序，可在MATLAB 中使用，可进行时频分析(The compression package is a wavelet transform program, which can be used in MATLAB and can be used for time-frequency analysis)

说明：  53小波提升的编解码代码，可用于图像的53小波变换(53)

说明：  利用此代码绘制声信号的功率谱，显示功率谱线。普通音频文件均可实现(Drawing power spectrum)

说明：  实现k-l变换，代码短，效率高，适合初学者进行上机练习，原理简单，比较容易懂和实现。(Achieve kl transformation, the code short, high efficiency, suitable for beginners to practice on the machine, simple in principle, relatively easy to understand and achieve.)

本程序是基于小波变换的图像去噪，运行过可以使用(This procedure is based on Wavelet Transform for Image Denoising, run-off can be used)