mfiles

对于通信原理中的调制解调进行说明，并且用MATLAB给出了仿真。(For modem communication theory is described in, and the simulation with MATLAB.)

experiments for multimedia lab

模板匹配法，与梯度和Laplacian算子相比较，除了能增强图像边缘外，还具有平滑噪声的优点。(Template matching method, gradient and Laplacian operator with the comparison, in addition to enhance the image edge, but also has the advantages of smoothing the noise.)

用matlab和VC实现图像匹配拼接的sift算法(VC implementation using matlab and the image matching algorithm sift Splicing)

建立包含直驱型风力发电机、单级式光伏发电系统和储能蓄电池的风能与光伏混合微电网模型。混合微电网在并网运行时，通过储能蓄电池平滑风能和光伏电源的输出功率波动，维持公共连接点电压。(A wind power and photovoltaic hybrid microgrid model including direct drive wind turbine, single-stage photovoltaic power generation system and energy storage battery is established. When the hybrid microgrid is connected to the grid, it can maintain the voltage of the common connection point by fluctuating the output power of the energy storage battery smoothing wind energy and the photovoltaic power.)

matlab code for adaptive median filter for image

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.

插值与拟合的matlab实现，基于多相结构的信道化接收机，包括 MUSIC算法，ESPRIT算法 ROOT-MUSIC算法。( Interpolation and fitting matlab implementation, Channelized receiver based on multi-phase structure, Including the MUSIC algorithm, ESPRIT algorithm ROOT-MUSIC algorithm.)

5层3跨弹性框架结构21变量复杂ANN网络建模，同时蒙特卡洛模拟可靠度指标(5 layer 3 inter-elastic frame structure 21 variable complex the ANN network modeling, Monte Carlo simulation reliability index)

压缩文件中有两个文件，其中一个是基于BP、RBF人工神经网络解决变压器故障诊断的问题。另外一个文件是用进退法、黄金分割法、DFP、Powell的方法解决函数最小值。( There are two archive files, one of which is based BP, RBF artificial neural network to solve the problem of transformer fault diagnosis. Another document is the solution to function with the minimum of advance and retreat method, golden section method, DFP, Powell method.)