REINFORCEMENT_LEARNING

利用MATLAB仿真神经元的动作电位及各种电参数的变化，离子通道电导变化等(HH cells using Matlab simulation model of changes in all parameters and dynamics of Action Potential generation process)

第四个例子滤波应用程序，可以了解粒子滤波的工作原理(fourth example filtering application that can understand the particle filter Principle)

LDPC码的C语言编译码，包含校验矩阵，备注等等(LDPC codes codec C language, including parity check matrix, notes, etc.)

nose cancellation releted

利用matlab 利用shan-chen模型实现poisueil流 程序正确(the model of Shan)

主元分析与主元回归用于函数的回归拟合已测试(Principal component analysis and principal component regression regression fit for function)

利用MATLAB实现图像拼接，所谓图像拼接就是将有共同点的两张或者多张图像进行融合。(Use MATLAB to achieve image mosaic, image mosaic is the so-called common ground will be two or more fused images.)

说明：  基于MATLAB的无人飞行器数学模型的飞行仿真实验程序(MATLAB-based mathematical model of unmanned aircraft flight simulation program)

最新、最全“高阶谱分析工具箱”，包括全部教程和DEMO.(There is much more information in a stochastic non-Gaussian or deterministic signal than is conveyed by its autocorrelation and power spectrum. Higher-order spectra which are defined in terms of the higher-order moments or cumulants of a signal, contain this additional information. The Higher-Order Spectral Analysis (HOSA) Toolbox provides comprehensive higher-order spectral analysis capabilities for signal processing applications. The toolbox is an excellent resource for the advanced researcher and the practicing engineer, as well as the novice student who wants to learn about concepts and algorithms in statistical signal processing. The HOSA Toolbox is a collection of M-files that implement a variety of advanced signal processing algorithms for the estimation of cross- and auto-cumulants (including correlations), spectra and olyspectra,bispectrum, and bicoherence, and omputation of time-frequency distributions. Based on these, algorithms for parametric and non-parametric blin)

J法解Poisson方程，通过迭代输出结果并画图，结果包含迭代步数以及无穷范数(Solution of Poisson equation by J method, iterative output results and drawing, the result contains iteration step number and infinite norm)