nang_jy14

说明：  对时间序列进行滤波，去掉噪声，得到平滑后的数据(Filters a time series via Lanczos method (cosine filter).)

粒子群算法，也称粒子群优化算法或鸟群觅食算法（Particle Swarm Optimization），缩写为 PSO。它具有精度高，收敛快等优点，广泛用于系统辨识、函数优化等领域。文件pso.m是粒子群算法辨识程序，在此基础上，需要自行编写目标函数计算程序以实现不同系统的参数辨识。(Particle swarm optimization (PSO), also known as particle swarm optimization algorithm or bird swarm foraging algorithm (Particle Swarm Optimization), abbreviated as PSO. It has the advantages of high precision and fast convergence. It is widely used in system identification, function optimization and other fields. The document pso.m is a particle swarm algorithm identification program. On this basis, it is necessary to write an object function calculation program to realize the parameter identification of different systems.)

用多重网格方法求解泊松方程，偏微分方程求解(use multigrid method to solve poisson equation, pde solver)

多点高斯平稳随机过程模拟，运用了快速傅里叶变换进行模拟。(Multi-Gaussian stationary random process simulation, using a fast Fourier transform simulation.)

在Z2[X]中判断一个多项式是否本原多项式，并能对给定的多项式求逆。 (in Z2 [X] to judge whether a polynomial primitive polynomial, and the right to the inverse polynomials.)

基于随机共振的微弱信号检测仿真，且包含求解郎之万方程的四阶龙格库塔算法源程序。(Fourth-order Runge-Kutta algorithm source simulation based on stochastic resonance in weak signal detection, and includes solving the Langevin equation.)

利用Python实现特征的MinMax标准化和Z-Score标准化两种特征归一化方法。并用原特征、两种归一化特征分别进行朴素贝叶斯模型训练，比较模型性能。(Two normalization methods of MinMax normalization and Z-Score standardization are implemented by Python. The naive Bayes model is trained with the original features and two normalization features respectively to compare the performance of the model.)

排样算法，用于矩阵排样优化，仅供参考，有错误请原谅，( ⊙ o ⊙ )啊！(Nesting algorithms for matrix layout optimization purposes, there is an error, please forgive me, (⊙ o ⊙) ah!)

Introduction to Estimation and the Kalman Filter (KC-1) Extended Kalman Filter Navigation System Example

二维热传导扩散方程的高斯-赛德尔迭代方法。(A two-dimensional thermal diffusion problem using Gauss-Seidel iteration method.)