ButterWorth

说明：  matlab 低通滤波(low pass filter matlab)

用风电功率历史数据来对未来一段时间功率的数值进行预测，通过Matlab软件编程和Excel处理数据，用神经网络仿真预测法、灰度预测法、时间序列预测法通过历史数据所呈现出来的一些规律对某段时间的风电功率展开预测，预测之后对得到的数据进行误差分析，通过与一些标准的对比来确定预测方法的可靠程度(Using historical data to forecast wind power to the value to the future time power, by Matlab software programming and Excel data processing, neural network simulation and prediction of wind power law method, gray prediction method, time sequence prediction method based on the historical data are presented for a period of time after the start prediction, prediction the data are error analysis, by comparing with the standard to determine the degree of reliability prediction method)

A new method for analysing nonlinear and non-stationary data has been developed. The key part of the method is the `empirical mode decomposition method with which any complicated data set can be decomposed into a nite and often small number of `intrinsic mode functions that admit well-behaved Hilbert transforms. This decomposition method is adaptive, and, therefore, highly ecient.

includes various matlab files for didfeent smart antennas configurations

基于遗传算法的认知无线电的实现，充分利用利用遗传算法的人工智能优化，对认知无线电的通信参数自适应调整予以实现。(Based on genetic algorithm, the realization of cognitive radio, full use of genetic algorithm to optimize the artificial intelligence, adaptive adjustment of the communication parameters of cognitive radio to be realized.)

菲涅尔衍射积分的 S FFT算法。理解用S FFT算法完成菲涅尔积分原理，特别是确定观察面尺寸的原理及相应公式的来源。(The Fresnel diffraction integral S- FFT algorithm.Understand complete Fresnel integral principle with S- FFT algorithm, especially the observation surface size of the source of the principle and the corresponding formula.)

AUV仿真模型范围如果二等功个埃尔文一个区 微推广3期 耳朵软听歌(AUV simulation model)

Matlab code for bit error rate of 1.BPSK 2.QAM in guassian channel 3.QAM in rayleigh channel 4.QPSK in guassian channel 5.QPSK in rayleigh channel

this file implement closed form method in pattern recognition

说明：  这是一个matlab神经网络的简单应用，主要用于预测光伏出力，输入为温度湿度等因素，输出为光伏出力。(this is an simple example appling neural network using matlab which can be used to predict the active power of a PV.Tempreture,humid etc are input variables and the active power of a PV is output variable)