root_music

觉得很好的一个Matlab程序想和大家一起分享，互相学习。(A Matlab program feel good and you want to share, learn from each other.)

这是一本关于小波分析的书籍，可以直接使用的，提供给需要的朋友们(this is study on wavelet)

说明：  DPCM压缩编码算法的子函数，需要在另外编写程序才可用(DPCM compression algorithm of the subroutine, you need to be used in other programming)

风电690V网侧变流器谐波电流抑制模型，SVPWM调制，采用重复控制器应对电网电压谐波。(Wind power 690V grid side converter harmonic current suppression model, SVPWM modulation, using repetitive controller for grid voltage harmonics.)

用以计算离散信号的均值，均方根值，方差，峭度和歪度(The mean value of discrete signal to the RMS value, variance, kurtosis and skewness.)

超宽带通信的仿真源程序，应该比较好使，请试一试(Simulation of ultra-wideband communications source, should be more so, please try)

基于L型线阵的信号频率，方位角，俯仰角联合估计，采用MUSIC(Based on the L-linear array of signal frequency, azimuth, pitch angle joint estimation using MUSIC)

摘要 该文主要考虑利用图像噪声再生技术来提取图像细节 其思想是利用被滤除的噪声信号进行回收再利用 通过对噪声信号和初步去噪信号进行小波变换 比较它们的小波系数 当噪声信号的小波系数达到一定的阈值时 将噪声信号的小波系数保留叠加至初步去噪信号的小波系数 然后利用传统的软阈值去噪的方法来进行图像的去噪 从而达到既能够去除噪声 又能保留图像细节的目的 实验证明 该方法较传统的方法在去噪和细节保持上有改进(Abstract In this paper, consider using images to extract the noise regeneration of its ideological image detail is the use of the noise signal was filtered to recycle through the noise signal and the initial wavelet transform de-noising signal comparison of their wavelet coefficients of the wavelet signal when the noise coefficient reaches a certain threshold will be the noise signal superimposed to the wavelet coefficients to retain the initial de-noising signal wavelet coefficients and then using the traditional soft-threshold denoising approach to image denoising in order to achieve the removal of noise can not only be able to retain The purpose of image detail that the methods of the experiment a more traditional approach to denoising and detail in there to keep improving)

cognitive radio model as in an efficient Discovery of Spectrum Opportunities with MAC-Layer Sensing in Cognitive Radio Networks

龙格库塔算法,微分方程组求解，用matlab语言编写。(Runge-Kutta algorithm, the differential equations solved using matlab language.)