LMS

三维的分数阶傅立叶变换，用于非平稳信号处理(the 3D Fractional Fourier Transform)

近似动态规划学习例子，是我在看魏庆来的《迭代自适应动态规划理论及应用》书中的例子，自己编的程序，可以运行，有一定参考价值。(Approximate Dynamic Programming learning example, I look at Wei Qing to the " iterative adaptive dynamic programming theory and application," the book example, own program, you can run, there is a certain reference value.)

数字信号处理与matlab语言数字信号处理与matlab语言(Digital signal processing and digital signal processing matlab and matlab language language)

自组织神经网络算法的matlab仿真应用(Self-organizing neural network algorithm matlab simulation)

进行多光谱和全色图的图像融合，使用小波变换。(Multi-spectral and panchromatic image fusion map, using wavelet transform.)

SAR (synthetic aperture radar) image processing matlab code

DDS(快速正交调制）生成正弦波形，利用相位累加字进行累加，查找查找表内容输出正弦数据，在通信领域应用很多，我采用的是matlab的simulink进行前期仿真(DDS (fast quadrature modulation) to generate sine wave, the use of the word to accumulate phase accumulation, content output sine lookup table lookup data in many applications in the communications field, I used to pre simulink of matlab simulation)

这个软件包实现了一个快速算法，用来解决一些线性逆问题。(This set of MATLAB files contain an implementation of the algorithms described in the following papers: "Fast Algorithm for the Constrained Formulation of Compressive Image Reconstruction and Other Linear Inverse Problems")

图论算法 graph algorithm(graph algorithm)

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)