Dpcm

《MATLAB及其在理工课程中的应用指南》书上的程序集(" MATLAB and its Application of Science and Technology curriculum guide" book on the assembly)

衍射的matlab程序实现，通过对单缝，多缝，矩孔等形状的仿真。实现的光线的仿真，验证的理论的正确性！(Matlab program realization of diffraction through a single slit, multiple joints, holes and other shapes of the simulated moments. Realize the simulation of light to verify the correctness of the theory!)

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)

image read & write file in matlab

Markov chain, 4 states, calculate antocorrelation

说明：  基于clarke模型的瑞利多径衰落产生器，由移动台速度确定的瑞利衰落随机过程(A Rayleigh fading simulator based on Clarke s Model. Creates a Rayleigh random process with PSD determined by the vehicle s speed)

基于Matlab的移动通信中多径衰落信道的仿真(Matlab-based mobile communications in the multipath fading channel simulation)

EM算法，是一种无监督的聚类算法，可以实现对数据的处理，对不同数据进行聚类，生成类内相似度最大(EM algorithm is an unsupervised clustering algorithm, the data processing can be achieved on different data clustering, to generate the maximum within-class similarity)

压缩感知，各种重构算法，心电信号，编程实例(Compression sensing, various reconstruction algorithms, ecg signals,)

说明：  使用ELMAN进行负荷预测，并通过仿真的到误差，隐含层数值(Load Forecasting Using ELMAN)