KYRSa4-Miwenko

说明：  source codes available in pudn site

This can be used to describe convolution in time domain is equivalent to multiplication in frequency domain.This also consist of generating the cazac sequences.

说明：  本书旨在介绍小波变换，福利叶变换基本理论。小波变换在工程应用中很广泛，比如信号处理，图像处理等。(This book aims to introduce the wavelet transform, the basic theory of Fourier transform welfare. Wavelet transform in a very wide range of engineering applications, such as signal processing, image processing.)

粒子群算法源代码,属于进化算法的一种，和遗传算法相似，它也是从随机解出发，通过迭代寻找最优解。(Particle swarm algorithm source code, is a kind of evolutionary algorithm, and genetic algorithm are similar, it is also starting from the random solutions, through the iterative search for the optimal solution.)

实现emd的分解并利用svm预测，最终得到太阳能的预测结果(Realize the decomposition of EMD and use SVM prediction, and finally get the prediction result of solar energy.)

一个可以运行的小波GCV阈值去噪的程序，matlab平台(GCV wavelet denoising，matlab)

说明：  DCT变换的matlab实现，对图片处理，其中包含论文(DCT transformation of Matlab implementation, image processing, including papers)

关于turbo编解码的源程序 matlab仿真程序 运行成功(the program about the turbo coding and decoding and it can run succefully)

1. 给一段原始的语音信号（可以是自己录制的一段语音），加上一频率为3.8kHz的高频余弦噪声和频率为3.6kHz的高频正弦噪声（幅度自己可以选择），用窗函数设计一滤波器（要求最小阻带衰减为50dB）对加噪后的语音信号进行滤波，画出滤波器的频率响应曲线，画出滤波前后的时域图和频谱图。 需要用到的函数： fir1 用窗函数设计FIR滤波器的函数 2. 用GUI设计一界面（如图1所示）完成如下功能： 1） 输入一语音信号，画出语音信号的时域图和频谱图； 2） 对语音信号加噪处理，画出加噪后的时域图和频谱图； 3） 给定滤波器的性能指标，采用几种不同的方法设计滤波器对加噪信后进行滤波，画出各滤波器的频率响应曲线，画出滤波后的时域图和频谱图。 (1. to some of the original speech signal (which can be a voice you record yourself), plus a cosine frequency of 3.8kHz frequency noise and frequency of 3.6kHz frequency sinusoidal noise (in the range that they can choose), with a window function to design a filter (requires a minimum stop band attenuation is 50dB) after adding noise to the speech signal is filtered, the filter frequency response curve to draw, draw diagrams and time-domain spectrum before and after filtering. Need to use the function: function fir1 with window function design FIR filter design 2. Using a GUI interface (Figure 1) complete the following functions: 1) an input speech signal, the speech signal in the time domain to draw graphs and spectrum 2) adding noise to the speech signal processing, draw diagrams and time-domain plus noise spectrum after 3) to set the filter performance, using several different methods designed to filter letter after adding noise filtering, draw the frequency response curve of each )

利用rt实现快速动目标检测参考程序，使用DPCA实现杂波抑制(Implementation of reference program for fast moving target detection by RT)