Ken_Sakamura

《脑电信号分析方法及其应用》书中示例程序，书的附录中有该程序列表(EEG analysis method and its application（the book program）)

说明：  用matlab编写的灰色模型程序，可以实现拟合(Gray model )

其中利用两个实验结果，通过互相关计算时延估计。(Which use the results of two experiments, by calculating the cross-correlation delay estimation.)

多目标粒子群算法，模拟传感器布置的，又需要的小盆友可以过来拿(MOPSO algorithm)

burg法估计AR（P)模型参数的算法。里面ef是前项误差bf是后项误差，mse是预测误差的均方值。程序的最后输出的是把各阶预测误差放在一个下三角距阵中(burg estimates the AR (p) model parameter algorithm. Ef is inside the former bf error is the latter error, mse is forecast error of the mean square value. Procedures for the final output stage is the prediction error on a triangular matrix under which)

用matlab实现了信赖域算法，主要用于无约束优化问题的求解(Using matlab to achieve the trust region algorithm, mainly used for solving unconstrained optimization problems)

Convex Optimization.----Stephen Boyd(Convex Optimization.---- Stephen Boyd)

说明：  PPC上面类似Matlab的语言环境，希望有pda的同学们喜欢(PPC above language similar to Matlab environment, and hope to have the students like pda)

了解随机信号自身的特性，包括均值（数学期望）、方差、相关函数、频谱及功率谱密度等。(Understanding of random signal their characteristics, including mean (mathematical expectation), variance, correlation function, spectrum and power spectral density.)

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