PPP(MATLAB)

包含十种经典的软件滤波的说明，以及其中8种滤波的例子，都是带的学生写的，并且附带测试报告。(Contains ten kinds of classic filtering software descriptions and examples of which eight kinds of filtering are written with students, and with a test report.)

可用于转子的动力学分析，包括固有频率的计算和振型的输出。(Can be used for rotor dynamics analysis, including the calculation of the natural frequency and vibration mode output.)

产生高斯白噪声，使用matlab编辑及仿真，均值为零(have a Gaussian white noise, editing and the use of Matlab simulation, mean zero)

Multisensor image fusion has its effective utilization for surveillance. In this paper, we utilize a pulse coupled neural network method to merge images different sensors, in order to enhance visualization for surveillance. On the basis of standard mathematical model of pulse coupled neural network, a novel step function is adopted to generate pulses. Subjective and objective image fusion performance measures are introduced to assess the performance of image fusion schemes. Experimental results show that the image fusion method using pulse coupled neural network is effective to merge images different sensor

Cholesky分解，以某个具体的矩阵进行的分解，便于求解线性方程组(Cholesky decomposition)

线性反演的最小方差反演算法 MATLAB程序(Minimum variance of the linear inversion inversion algorithm MATLAB program)

ER,WS和BA网络模型生成算法的matlab实现(ER, WS and BA network model generation algorithm of matlab )

在相空间重构中，用互信息法求最小关联嵌入维(In phase space reconstruction, the use of mutual information method associated minimum embedding dimension)

此文档主要讲述了MATLAB R2011a的simulink的仿真功能完备详细介绍，还有程序仿真图，有助于MATLAB用于仿真的学习(This document focuses on the function of the MATLAB R2011a simulink simulation complete details, there is a program simulation diagram helps MATLAB for simulation learning)

A multi-target tracking toolbox based on the MTT Library of the InstantVision ISE with expanded functionality and tools for off-line design, analysis and testing. The toolbox contains the implementation of distance calculation methods (e.g. city-block based), data assignment and association strategies (e.g. ENN and JVC), state prediction filters (e.g. IMM) with video marking and debugging tools in order to support a complex multi-target tracking system design.