gaPID

RBF code using matlab

自相关法谱估计的程序，这是一种经典的方法，效果真心不错(Autocorrelation spectrum estimation procedure, which is a classic method, the effect is really good)

语音信号处理中，基频特征提取的源程序，实现效果较好(Speech signal processing, baseband Feature Extraction source, to achieve better)

PARTICAL SWARM INTELLIGENCE

三相光伏逆变并网的仿真，小波包分析提取振动信号中的特征频率，sar图像去噪的几种新的方法。( Three-phase photovoltaic inverter and network simulation, Wavelet packet analysis to extract vibration signal characteristic frequency, Several new methods sar image denoising.)

Function BURG: Computation of AR model using Burg s algorithm. Usage: [a,alpha,rc]=burg(x,p)

实现差分编码和数字分相码的波形以及功率谱密度的仿真，取样点数默认为2^14。(achieve Differential encoding and digital Phase code and the waveform of the power spectral density of simulation, The default sampling points for 14 ^ 2.)

MIT归一化算法，为了克服MIT自适应律的缺陷需要对其做些修正，使得自适应增益与输入信号幅值无关(MIT normalization algorithm, MIT adaptive law in order to overcome its shortcomings need to do to fix such adaptive gain is independent of the input signal amplitude)

Instead of that, a modified BCJR algorithm is used. .... open source library for simulating turbo codes in matlab Turbo EqualizationInstead of that, a modified BCJR algorithm is used. .... open source library for simulating turbo codes in matlab Turbo EqualizationInstead of that, a modified BCJR algorithm is used. .... open source library for simulating turbo codes in matlab Turbo Equalization

灰色预测模型称为CM模型，G为grey的第一个字母，M为model的第一个字母。GM（1，1）表示一阶的，一个变量的微分方程型预测模型。GM（1，1）是一阶单序列的线性动态模型，主要用于时间序列预测。 一、GM（1，1）建模 设有数列 共有 个观察值 对 作累加生成，得到新的数列 ，其元素 （5-1） 有： 对数列 ，可建立预测模型的白化形式方程， （5-2） 式中： ——为待估计参数。分别称为发展灰数和内生控制灰数。设 为待估计参数向量 则 按最小二乘法求解， 有： （5-3） 式中： （5-4） （5-5） 将（5-3）式求得的 代入（5-2）式，并解微分方程，有 （1，1）预测模型为： （5-6）(gray forecasting model called CM model, the G-gray of a letter, the M model for the first letter. GM (1,1), a band of a variable type of differential equation models. GM (1,1) is a sequence of single-band linear dynamic model, mainly for time series prediction. A GM (1,1) model series with a total value of observation for the cumulative production, to a new series of its elements (5-1) : The series, we can establish the prediction model albino form of equation (5-2) where :-- to question the estimated parameters. The development will be known as the gray and hygiene control within a few gray. Set parameters to be estimated according to Vector least squares method, are : (5-3) where : (5-4) (5-5) (5-3) that obtained in lieu of income (5-2)- and solutions differential equations, (1 1) Fore)