Hellen-MOM

说明：  一个很有用的函数，功能是产生规定字长以及规定汉明重量的码字，常用于channel coding开发(A useful function, function is to have the provisions of word length and weight of the provisions of Hamming code word, commonly used in the development of channel coding)

amplitude and fm modulation good for you

创建一个n维的稀疏数组对象，n是任意值。 定义N可能是大于2的一类n维稀疏阵列。然而，它应该被认为是一种起动方式与普通的MATLAB稀疏矩阵和重塑它有N维度。换句话说，稀疏的数据，首先必须能够作为一个普通的2D MATLAB稀疏矩阵被前n维。事实上，如果目标数组的尺寸mxnxp……yxz，然后将它存储在内部类是一个普通的二维稀疏阵列的尺寸（M×N×P×……×Y）XZ。这导致了某些内存株时使用大量的尺寸。我发现有用的类主要用于中等尺寸像三维图像边缘检测，你经常要举行一个稀疏的3D的边缘地图。(Creates an N-dimensional sparse array object, for arbitrary N.This submission defines a class of N-dimensional sparse arrays for N possibly greater than 2. However, it should really be thought of as a way of starting with an ordinary MATLAB sparse matrix and reshaping it to have N dimensions. In other words, the sparse data must first be able to exist as an ordinary 2D MATLAB sparse matrix before being made N-dimensional. In fact, if the intended array has dimensions MxNxP...YxZ, then the class will store it internally as an ordinary 2D sparse array of dimensions (M*N*P*...*Y)xZ. This leads to certain memory strains when using large numbers of dimensions. I find the class useful mainly for moderate dimensional things like edge detection in 3D imaging, where you often want to hold a sparse 3D edge map. )

This is the simulation of Economic Load - With Loss Consideration.

说明：  典型的实验函数,可以用来测试算法的性能!(Typical experimental function, can be used to test algorithm performance!)

本matlab程序的功能是利用人工神经网进行故障模式识别(Fault recognition using ANN)

说明：  matlab实现视频中动态目标跟踪，试验过，可以用，帧插法实现(matlab dynamic target tracking in video, tested, you can use, frame interpolation to achieve)

数字信号处理清华大学出版社第二版 课本matlab源码(Digital Signal Processing, Tsinghua University Press, second edition of the textbook matlab source)

For using this code need to use signal toolbox and general toolbox in your matlab Inpainting using sparse regularization. Consider the pepper image with many missing pixels. Assume that the image is noisy-free. (a) Inpaint the image by using orthogonal wavelet sparsity. (b) Inpaint the image by using a different sparsity prior. Based on the outputs, it is clear that the inpainting result obtain by Sobolev is much better than other methods (i.e. Orthogonal wavelet sparsity and Invariant wavelet sparsity).

绘制分钟级自动站气象战数据与能见度数据的对比图(Draw-the-minute weather warfare automatic station data comparison chart data and visibility)