MATCHING

傅里叶变换能将满足一定条件的某个函数表示成三角函数(正弦和/或余弦函数)或者它们的积分的线性组合(Fourier transform to meet certain conditions can be expressed as a function of trigonometric functions (sine and/or cosine functions) or their linear combination of the integral)

LMS滤波器（最小均方误差滤波器），学学习现代数字信号处理理论的人应该用的上。 (Filter LMS (minimum mean square error filter), school learning modern digital signal processing theory should be used on.)

本程序利用MUSIC算法对角度进行二维估计，包括方位角和俯仰角，有一定的学习价值。。(This procedure using MUSIC algorithm to estimate the two-dimensional perspective, including azimuth and elevation, there is some learning value. .)

说明：  是调制解调的VC远程序,对于要学习这方面知识的初学者很有帮助,快来下载吧(Is the modulation and demodulation of the VC process is far, for to learn this knowledge useful for beginners, Come download it)

基于LMS算法的自适应滤波器的MATLAB仿真，阶数、收敛因子可调，，希望对大家有帮助...(LMS-based adaptive filter algorithm the MATLAB simulation, the order of convergence factor Adjustable, we want to help ...)

Paper Abstract – An adaptive control of Distributed Generation (DG) to provide predictable active power output at the primary distribution substation is described. Often, distribution networks accommodate renewable energy different energy sources and thus using different energy conversion sources. As the amount of generation that comes intermittent renewable sources (e.g. wind energy) increases, network operators start to concern with the uncertainty of generation. However, when the power output intermittent renewable sources is predicted, the network operators can reduce the operational costs of the network and the DG owners may go on the market. Thus, our challenge with this work was to develop an algorithm which can predict the active power output the aggregation of wind and biomass energy at the primary distribution substation of a typical distribution network. Wind and biomass energy plant are onto the same distribution network but not necessarily onto the same feeder.

optimization algorithms

信号处理与分析，是基于gui的信号处理与分析，相关函数的应用。(Random signal analysis and Process)

chapter2 基于遗传算法和非线性规划的函数寻优算法 《MATLAB智能算法30个案例分析》(史峰等)(30 case studies of MATLAB intelligent algorithm (Shi Feng et al.))

说明：  排列熵可以很好的区分信号和噪声。可以用做优化算法的适应度函数(Permutation entropy can distinguish signal from noise. Can be used as fitness function of optimization algorithm)