bp

运用music方法实现了阵列信号处理中的波束形成，包括线阵和平面阵。(Music beamforming in array signal processing, including line array and planar array.)

线性调频信号时频分析，自带自己写的STFT函数(FMCW TF analysis, STFT function)

说明：  近年来，基于启发式的多目标优化技术得到了很大的发展，研究表明该技术比经典方法更实用和高效。有代表性的多目标优化算法主要有NSGA、NSGA-II、SPEA、SPEA2、PAES和PESA等。粒子群优化(PSO)算法是一种模拟社会行为的、基于群体智能的进化技术，以其独特的搜索机理、出色的收敛性能、方便的计算机实现，在工程优化领域得到了广泛的应用，多目标PSO(MOPSO)算法应用到了不同的优化领域[9~11]，但存在计算复杂度高、通用性低、收敛性不好等缺点。 多目标粒子群（MOPSO）算法是由CarlosA. Coello Coello等在2004年提出来的(In recent years, heuristic-based multi-objective optimization technology has been greatly developed, and research shows that this technology is more practical and efficient than classical methods. Representative multi-objective optimization algorithms mainly include NSGA, NSGA-II, SPEA, SPEA2, PAES and PESA. Particle Swarm Optimization (PSO) algorithm is an evolutionary technology based on swarm intelligence that simulates social behavior. With its unique search mechanism, excellent convergence performance, and convenient computer implementation, it has been widely used in the field of engineering optimization. The objective PSO (MOPSO) algorithm is applied to different optimization fields [9~11], but it has shortcomings such as high computational complexity, low versatility, and poor convergence. The multi-objective particle swarm optimization (MOPSO) algorithm was proposed by Carlos A. Coello Coello et al. in 2004)

关于维纳滤波器、卡尔曼滤波器、自适应滤波器的设计方法，及信号提取、分析。(On the Wiener filter, Kalman filter, adaptive filter design method, and signal extraction, analysis.)

说明：  pid Bldc fácil de trabajar y muy bueno

matlab的偏最小二乘分析源码，可以稍微修改下参数就可用啦(matlab partial least squares analysis of source code can be slightly modified parameters you can use)

Matlab编写的计算器，能实现普通计算器的各种功能(calculator in Matlab circumstance)

一维激波管初学小程序，供初学者参考，比较容易看懂。(One-dimensional shock tube novice applet for beginners, and relatively easy to understand.)

largest lyapanov exponent finder

自己编写的多项式拟合的例子程序，matlab多项式，。(I have written an example of polynomial fitting procedure, matlab polynomial.)