buck-boost

MATLAB7.0/simulink实现的全套的自抗扰控制器资料，包括mdl文件和S-function。(Auto-Disturbance Rejection Controller implement by MATLAB7.0/simulink。)

matlab编写，能够实现局部子空间鉴别分析，含主方法和测试代码，能直接运行(matlab prepared, can achieve local subspace discriminant analysis, including the main methods and test code that can be run directly)

完成复杂网络基本操作，基于网络图模型，可与图论算法及其matla实现配套使用(Complete complex network basic operation, based on network graph model)

本文详细的介绍了在QAM解调系统中的相位估计的方法，该方法是基于4阶的盲估计(This paper describes in detail the system in the QAM demodulator phase estimation method is based on the blind estimation of order 4)

超声波信号自适应消噪和滤波程序，可用于除噪，用于去除背景环境影响(Adaptive noise cancellation and filtering procedures can be used for noise removal)

OFDM信道估计的几种方法的仿真，包括最小二乘(LS)法、最小均方误差(MMSE)法、线性最小均方误差(LMMSE)法以及奇异值（SVD）分解法等，毕设资料，非常珍贵(several OFDM channel estimation methods,which contains the least-squares (LS), the minimum mean square error (MMSE), the linear minimum mean square error (LMMSE) and the singular value decomposition (SVD))

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

PSO算法的系统辨识，辨识一个锅炉蒸汽水位的传递函数。依据现有的数据，将传递函数辨识为2阶。(PSO algorithm to identify a boiler steam water level transfer function. Based on the existing data, the transfer function is identified as order 2.)

图像变化检测算法，由t检验得到差分图像的变化掩膜。左后成功检测到图像中运动的物体。(Image change detection algorithms have been tested by the t change difference image mask. Left a successful campaign to detect objects in images.)

带死区的PID算法，在MATLAB语言编写，仿真效果不错。(Dead-zone of the PID algorithm, the MATLAB language, simulation results are good.)