Digital-Signal-Processing-Using-Matlab-and-Wavele

基于改进滑模频率偏移法的光伏孤岛检测研究(PV islanding detection based on improved sliding mode frequency offset)

《MATLAB图像处理实例详解》源代码 第14 章 ( MATLAB image processing example explanation Source Code Chapter)

Astrodynamics library file crack

说明：  包括LFM和HFM的雷达回波信号的仿真，及其匹配滤波。(LFM and HFM radar echo signal simulation, and its matched filtering.)

基于Matlab，针对不同采样点数做的频谱分析对比(Based on Matlab, spectrum analysis and comparison of different sampling points)

This Matlab script file explainns the qpsk scheme in awgn channel.

comments and thoughts

特征矩阵的联合对角化法（JADE），独立分量分析（ICA）的一种方法，用matlab编写(Characteristic matrix of the joint diagonalization method (JADE), independent component analysis (ICA) is a means to prepare with matlab)

程序代码说明 P0301：数字图像矩阵数据的显示及其傅立叶变换 P0302：二维离散余弦变换的图像压缩 P0303：采用灰度变换的方法增强图像的对比度 P0304：直方图均匀化 P0305：模拟图像受高斯白噪声和椒盐噪声的影响 P0306：采用二维中值滤波函数medfilt2对受椒盐噪声干扰的图像滤波 P0307：采用MATLAB中的函数filter2对受噪声干扰的图像进行均值滤波 P0308：图像的自适应魏纳滤波 P0309：运用5种不同的梯度增强法进行图像锐化 P0310：图像的高通滤波和掩模处理 P0311：利用巴特沃斯（Butterworth）低通滤波器对受噪声干扰的图像进行平滑处理 P0312：利用巴特沃斯（Butterworth）高通滤波器对图像进行锐化处理(Code Description P0301: digital image data display matrix and Fourier transform P0302: Two-dimensional discrete cosine transform image compression P0303: gray-scale transformation method using the contrast enhanced image P0304: Histogram of homogenization P0305: simulated images by Gaussian white noise and salt and pepper noise of P0306: two-dimensional median filter function medfilt2 on the image noise by filtering salt and pepper P0307: using MATLAB in the function filter2 noise on the image by mean filter P0308: Image Adaptive Weiner Filter P0309: the use of 5 different gradient enhanced image sharpening method P0310: the image of the high-pass filter and mask treatment P0311: Using Butterworth (Butterworth) low pass filter the image noise by smoothing P0312: Using Butterworth (Butterworth) high pass filter sharpening the image)

matlab编写的zernike波前重建的几个程序，求解zernike系数，帮助理解。(several programs on zernike wave front reconstructed in Matlab, solving zernike coefficient, to help understand.)