卷积

matlab中解决一般线性方程组 微分方程组等各种方程类型的解决方法 入门级的好帮手(matlab help in solving various types of equations of general solutions of differential equations of linear equations, such as the entry-level)

Matlab code with GUI for identification of VGC signals (FAX, Voice, VFT etc.)

基于分形维数与小波变换的区域匹配方法，通过MATLAB实施。(Based on fractal dimension and wavelet transform regional matching)

在此pdf文件里论诉了MATLAB图像合成的相关知识，并给出了其具体实现。我自己已经实现过，代码很全没有问题。(In this pdf document on the MATLAB Image Synthesis v. knowledge, and gives the concrete realization. I myself have been achieved, the code is no problem with the whole.)

The files are contained fuzzy bang bang controller of a satellite attitude control along with paper

活塞式压缩机排气管道压力脉动计算matlab程序(Matlab program to calculate the pressure pulsation of piston compressor outlet pipe)

Smooths a matrix (with/without NaN s) via recursive moving average method and eliminates data gaps. (MOVING_AVERAGE(X,F) smooths the vector data X with a boxcar window of size 2F+1, i.e., by means of averaging each element with the F elements at his right and the F elements at his left. The extreme elements are also averaged but with less data, obviously. Leaving the edges intact. The method is really fast. MOVING_AVERAGE2(X,M,N) smooths the matrix X with a boxcar window of size (2M+1)x(2N+1), i.e., by means of averaging each element with its surrounding elements that fits in the mentioned box centered on it. This one is also really fast. The elements at the edges are averaged too, but the corners are left intact. NANMOVING_AVERAGE(X,F) or NANMOVING_AVERAGE(X,F,1) accept NaN s elements in the vector X the latter interpolates also those NaN s elements surrounded by numeric elements. NANMOVING_AVERAGE2(X,M,N) or NANMOVING_AVERAGE2(X,M,N,1) accept elements NaN s in the matrix X the latter interpolates also those NaN elements surrounded by numeric elements.)

说明：  小波神经网络 基于交通流量的预测 具有很强的模型转换能力(Wavelet neural network traffic prediction based on model transformation has a strong ability to)

用户操作源码：MATLAB＿MANUAL，英文权威专著。(user source : MATLAB_MANUAL, English authoritative monographs.)

this code is very helpfulful in understanding the basic sterps to create panorama