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主要讲述jeason反演软件的主要流程，对要学习反演的地震解释人员很有用，希望大家多看看(Main main about jeason inversion software process to study the inversion of the seismic interpretation staff was very useful, hope we see more)

一般控制系統應用於MATLAB之指令 一般控制系統應用於MATLAB之指令(General control system used in MATLAB' s command of the general control system used in MATLAB command)

独立分量分析算法（ICA）可以用于信号分解，数据处理等(Independent component analysis (ICA) can be used to decompose the signal, data processing)

基于BP神经网络的一种PID实现方法，将神经网络技术和常用的PID方法结合，实现更精准的控制。(A Realization Method of PID Based on BP Neural Network)

这是matlab编程基础课件，对初学者来说很好()

数据分析，其中包含了数据分析的基本源代码，是M文件的形式，并且还有PPT的相关教程(Data analysis, data analysis, which includes the basic source code, the M form of the document, and there' s tutorials PPT)

运用matlab来编写关于图像处理所需要处理的实验，熟悉matalab(Use matlab to prepare a report on the need to deal with image processing experiments, familiar matalab)

数字信号处理——基于计算机的方法，历程！！！！！(Digital Signal Processing- a computer-based method)

transfer function model

感知器感知器算法训练二元线性分类器。结构体数据使用感知器学习规则 找到给定的二分类标签数据超平面。 (PERCEPTRON Perceptron algorithm to train binary linear classifier. Synopsis: model = perceptron(data) model = perceptron(data,options) model = perceptron(data,options,init_model) Description: model = perceptron(data) uses the Perceptron learning rule to find separating hyperplane from given binary labeled data. model = perceptron(data,options) specifies stopping condition of the algorithm in structure options: .tmax [1x1]... maximal number of iterations. If tmax==-1 then it only returns index (model.last_update) of data vector which should be used by the algorithm for updating the linear rule in the next iteration. model = perceptron(data,options,init_model) specifies initial model which must contain: .W [dim x 1] ... normal vector. .b [1x1] ... bias of hyperplane. .t [1x1] (optional) ... iteration number. Input: data [struct] Labeled (binary) training data. .X [dim x num)