LSM

LFM信号的分数傅里叶变换分析，包含LFM信号分数阶谱图产生及FrFt子程序，及峰值搜索。非常好用。(LFM signal' s fractional Fourier transform, including the LFM signal generation and FrFt fractional spectrum of subroutines, and peak search. Very easy to use.)

因子分析。该程序已经调试好了 直接可以使用(Factor analysis. The program has a good debugging can be used directly)

三相半波整流电路的matlab仿真，可以直接用(Matlab simulation of the three-phase half-wave rectifier circuit, can be directly used)

曲线拟合多步预测，多个小波分解，VMD分解，神经网络集成，源代码(Curve fitting multistep prediction, multiple wavelet decomposition, VMD decomposition, neural network integration, source code)

几个BOC 信号的分析例程，全球卫星导航系统将普遍采用BOC调制信号作为扩频测距信号，BOC信号自相关函数呈现多个相关峰，传统扩频接收机所用的延迟锁定环（DLL）无法对该信号正确地进行码相位的(Several BOC signal analysis routines, the global satellite navigation system will be widely used BOC modulation signal as a spread spectrum ranging signal, BOC signal auto-correlation function shows a number of correlation peak, the traditional spread-spectrum receiver using delay locked loop (DLL) the signal can not be correctly code phase)

This paper addresses the problem of segmenting an image into regions. We defi ne a predicate for measuring the evidence for a boundary between two regions using a graph-based representation of the image. We then develop an effi cient segmentation algorithm based on this predicate, and show that although this algorithm makes greedy decisions it produces segmentations that satisfy global properties. We apply the al-gorithm to image segmentation using two diff erent kinds of local neighborhoods in constructing the graph, and illustrate the results with both real and synthetic images. The algorithm runs in time nearly linear in the number of graph edges and is also fast in practice. An important characteristic of the method is its ability to preserve detail in low-variability image regions while ignoring detail in high-variability regions.

Learning Selenium in 6 Easy Steps

DLT和Tsai两步法标定相机的Matlab代码++里面附带验证程序(DLT Tsai camera caliberation)

matalab simulink的仿真介绍，其中是以具体实例讲述的，清晰易懂(Matalab simulink simulation is introduced, which is based on specific examples relate, transparent)

实现对于一个简单函数的matlab求极值粒子群算法。很有实际使用意义(The the extremal particle swarm algorithm for a simple function matlab seek. Very practical significance)