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在MATLAB系统下的BP程序预测GDP(MATLAB system in BP procedures under the GDP forecast)

program in matlab code to do a equalization of a signal DSP Applications

基于峭度的盲源分离，使用最速下降法，适合初学者(BSS based on kurtosis by gradient)

太阳能电池仿真模型,可根据不同的温度和日照仿真电池的I－V，P－V曲线(solar cell simulate model)

系统系统辨识文件夹内是产生高斯白噪声，m序列和最小二乘法的一次完成算法，递推算法，限定记忆法的程序。系统仿真文件夹内是对系统线性和非线性的建模和仿真程序。(System folder on system identification is to generate Gaussian white noise, m sequence and a complete least-squares method algorithm, recursive algorithm, limited memory method procedures. System Simulation System folder is a linear and nonlinear modeling and simulation program.)

his first control design case study implements the Stewart platform control system with the standard preoptimized proportional-integral-derivative (PID) controller. It introduces you to the overall model and the uncontrolled Stewart platform motion. It then shows how the PID controller works, how to make it more realistic with a filtered derivative, and how to exploit classical control techniques to analyze the PID response.

基于紧格式线性化方法与偏格式线性化方法，可将非线性系统线性化，后用PID控制，设计控制器(Based on tight format linearization method and partial format linearization method, nonlinear system can be linear, with PID control, to design the controller )

matlab简单教程.rar(Matlab simple tutorial. Rar)

HOPFIELDNETWORK M-file for HopfieldNetwork.fig . HOPFIELDNETWORK, by itself, creates a new HOPFIELDNETWORK or raises the existing singleton*. H = HOPFIELDNETWORK returns the handle to a new HOPFIELDNETWORK or the handle to the existing singleton*. HOPFIELDNETWORK( CALLBACK ,hObject,eventData,handles,...) calls the local function named CALLBACK in HOPFIELDNETWORK.M with the given input arguments. HOPFIELDNETWORK( Property , Value ,...) creates a new HOPFIELDNETWORK or raises the existing singleton*. Starting from the left, property value pairs are applied to the GUI before hopfieldNetwork_OpeningFunction gets called. An unrecognized property name or invalid value makes property application stop. All inputs are passed to hopfieldNetwork_OpeningFcn via varargin.

压缩感知理论及其研究进展,文综述了cs理论框架及关键技术问题，并着重介绍了信号稀疏变换、观测矩阵设计和重构算法三个方面的最新进展，是一篇综述。(Compression perception theory and research progress, cs paper reviews the theoretical framework and key technical issues and focuses on the latest developments signal sparse transform observation matrix design and reconstruction algorithms in three aspects, is a review.)