Accurate-Simulink

局部放电试验所采集的信号中往往混有白噪声、周期干扰信号去除。此处采用常用db系列小波中的db6小波进行9尺度的多分辨分解后，根据白噪声能量特性，估算各尺度的阈值大小，采用硬值进行处理，后进行重构。(Partial discharge test of the signal collected is often mixed with white noise, periodic interference signal removal. Here the use of commonly used wavelet db Series DB6 wavelet carried out in the 9-scale multiresolution decomposition, based on the energy characteristics of white noise to estimate the scale threshold size, the use of hard-value deal, after the remodeling.)

在matlab中实现心10s电数据动态显示(In the heart of the matlab realize 10s electricity dynamic data display)

uwb信道的matlab仿真源程序，在ofdm的仿真中可以作为信道源代码使用(matlab simulation of uwb channel source, in ofdm simulation in the source code can be used as a channel)

经典的边缘检测算法Sobel matlab源码(classic edge detection algorithm Sobel Matlab FOSS)

几何体重构的区域生长方法研究，在无法观察到几何体时，采用区域生长算法，可以重构出几何体。(Geometry reconstruction region growing method, the geometry can not be observed when using region growing algorithm can reconstruct the geometry.)

盲均衡中的常模算法用于抽样判决后的多径效应均衡，显著降低误码率(Multipath equalization Blind equalization algorithm norm for post-judgment sampling, significantly reduce the error rate)

是一个用MATLAB编的一个系统，是关于各个神经我网络模型和支持向量机的软件包(using MATLAB is a part of a system of various neural network model and I support vector machine packages)

Instrumental Variable Estimation Of A Threshold Model-matlab code

An Improved Heuristic Ant-Clustering Algorithm

MATLAB概率与数理统计分析（第2版）》以概率与数理统计的基本原理为线索，以matlab为辅助条件，分别介绍了概率与数理统计概述、统计估计、假设检验、方差分析、回归分析、正交试验分析、聚类分析、判别分析和多元数据相关分析等内容，理论与实践相结合，向读者演示了matlab在数理统计中的应用。 　　("MATLAB Probability and Mathematical Statistics Analysis (2nd edition)" is based on the MATLAB r2011 a, on the basis of the 1st edition, further introduced the MATLAB probability and mathematical statistics analysis. "MATLAB Probability and Mathematical Statistics Analysis (2nd Edition)" takes the basic principles of probability and mathematical statistics as the clue, and takes MATLAB as the auxiliary condition. It respectively introduces the outline of probability and mathematical statistics, statistical estimation, hypothesis test, variance analysis, regression analysis, orthogonal test analysis, cluster analysis, discriminant analysis and multivariate data. The application of MATLAB in mathematical statistics is demonstrated to the readers by combining theory with practice.)