FIR

地震资料中反褶积MATLAB数据处理包。包括了预测反褶积，脉冲反褶积，稀疏反褶积等。对于地震资料处理有极大实用价值。(Seismic data deconvolution MATLAB data processing package. Including predictive deconvolution, pulse deconvolution, such as sparse deconvolution. For the seismic data processing has great practical value.)

Welch法：Welch法对Bartlett法进行了两方面的修正：一是选择适当的窗函数w(n)，并在周期图计算前直接加进去，加窗的优点是无论什么样的窗函数均可使谱估计非负。二是在分段时,可使各段之间有重叠，这样会使方差减小。(Welch method: Welch method of Bartlett method amendments in two respects: First, select the appropriate window function w (n), and in the cycle before CALPHAD directly incorporated, plus the advantage of the window, no matter what kind of window function can be so spectral estimation of non-negative. Second, when in subparagraph can overlap between paragraphs, this would reduce the variance.)

用matlab对图像进行处理的几个源码，傅立叶变换，重建图像，灰度扩展，多种图像增强，滤波。(using Matlab, the image of several source, Fourier transform, image reconstruction, Gray expansion a variety of image enhancement, filtering.)

使用Matlab编程工具对单纯形法的基本算法的实现，不包括二阶段修正部分(Simplex algorithm)

直流双闭环调速系统的搭建模型，采用PID控制器控制。(Double closed loop DC speed control system to build the model, using the PID controller.)

本程序是用粒子群算法优化神经网络算法的MATLAB源程序(This MATLAB procedure is to use particle swarm algorithm to optimize neural network algorithm )

A_Star算法路径规划演示 包括完整的程序和仿真结果，可以运行(A_Star path planning algorithm demo includes a complete program and simulation results, you can run crorrect)

DVR with PI compensation

GPS mode for modeling and mode for modelingmode for modelingmode for modelingmode for modelingmode for modeling

该资料是汇总了大部分的MATLAB的命令语句，涵盖的面很广，包括常用命令，运算符和逻辑函数，语言结构和调试命令，矩阵和矩阵操作基础，数学函数与坐标变换，数据分析，多项式，双重函数，声音处理，字符串函数，低层文件输入输出函数，位操作结构和对象函数，数组函数，图像可视化函数这些模块。希望对大家学习MATLAB有所帮助。(This information is a summary of most of the MATLAB command statement, surface covers a wide range, including the commonly used commands, operators, and logical functions, language structure and debug commands, matrices and matrix operations based on a mathematical function and coordinate transformation, data analysis, polynomials, dual function, sound processing, string functions, low-level file input and output functions, function-bit operating structures and objects, arrays, functions, image visualization functions for these modules. We hope to learn MATLAB help.)