mtf

用matlab仿真，得到较为真实的飞行航迹，包括了转弯，机动等轨迹运动模型的描述(Matlab simulation used by more real flight track, including a turn and the track motor sports, such as a description of the model)

Incremental Principal Component Analysis

信号的预处理，去除趋势项，以达到我们所要的信号的形式，效果比较好(Signal pre-processing to remove the trend term, we want to achieve in the form of signals, results were better)

用MATLAB2008A编写的主成成分分析(MATLAB2008A prepared by Principal Component Analysis)

ARMA 时间序列建模、预测、检验和说明(ARMA MODELS IN EVIEWS AND DOCUMENTS)

说明：  可计算地下洞室的围岩稳定问题，模拟地下洞室的开挖、支护过程，介质可以是均质体，也可以是分区变化的非均质体，还可有夹层、节理等。(Calculate the stability of underground rock caverns, underground excavation simulation, supporting the process, the media can be a homogeneous body, you can also change the partition of non-homogeneous body, but also as a layer, joints and so on.)

ADM算法，用于基于TV模型的压缩感知图片重构的快速算法，张印所编( ADM algorithm for picture compessing)

In histogram equalization we are trying to maximize the image contrast by applying a gray level transform which tries to flatten the resulting histogram. The gray level transform is a scaled version of the original image s cumulative histogram. That is, the graylevel transform T is given by T[i] = (G-1)c(i), where G is the number of gray levels and c(i) is the normalized cumulative histogram of the original image.

A PIV Post-processing and data analysis toolbox(The PIVMat Toolbox for Matlab contains a set of command-line functions to import, post-process and analyse 2- and 3-components vector fields from PIV (particle image velocimetry), stereo-PIV, DIC (digital image correlation) SS (synthetic schlieren) or BOS (background-oriented schlieren) applications. Main Features: - Import vector fields from PIV (Particle Image Velocimetry) or other related technics, such as DIC (Digital Image Correlation), SS and BOS (Synthetic Schlieren and Background-oriented Schlieren). - Compatibale with files from DaVis (LaVision), DPIVSoft (Meunier & Leweke), VidPIV (Oxford Laser), MatPIV and Optical Flow. - Standard vector field operations: interpolation, filtering (median, Butterworth...), averaging (temporal, spatial, azimuthal...), derivatives computation (vorticity, divergence, strain, Q-factor...) - Fully vectorized: all operations directly apply on arrays of fields (no for loops) - More than 60 functions with full on-line documentation sampl)

实数编码的小生境PSO算法优化多模态函数(Real-coded niche PSO algorithm for multimodal function optimization)