gda

可以用FFT频谱对脑电信号进行提取。我们可以利用提取出的各个波段脑电信号，来诊断一些脑部疾病或者对大脑组织的电活动及大脑的功能状态进行分析。 1.将实验测得的脑电数据文件转换为文本文件(已经过50Hz陷波)， 获得在Matlab 平台上可直接使用的脑电信号数据，即0661.txt。 2.在Matlab中导入数据，并提取Fp1通道的脑电信号，通过FFT变换对α，β，θ，δ波段进行提取，并做FFT逆变换变到时域。 3.计算各个波段的功率谱。(FFT spectrum can be extracted on EEG. We can use the extracted EEG each band to diagnose some brain disorders or brain tissue on the brain' s electrical activity and functional status were analyzed. One would experimentally measured EEG data file into a text file (has been 50Hz notch), obtained in Matlab platform can be used directly EEG data, that 0661.txt. (2) import data in Matlab and extract Fp1 channel EEG by FFT transform α, β, θ, δ bands were extracted, and do FFT inverse transform variable to the time domain. 3 calculate the power spectrum of each band.)

this the code of invasive weed colony algorithm in matlab

人脸识别主成分分析LDA代码，MATLAB写的。(Principal Component Analysis LDA code written in MATLAB.)

卡布列克常数：题目中给出的处理过程很清楚,算法不需要特殊设计,(Cablek constant: the process given in the title is clear, the algorithm does not require a special design,)

一个可以识别金钱豹、老虎、长颈鹿、斑马、鸵鸟、企鹅、信天翁等七种动物的简单专家系统(it is a simple expert system that can identify seven kinds of animals such as leopard,tiger,giraffe,zebra,ostrich, penguin and albatross)

简单的指纹识别算法代码,带测试图片.非商业代码.(simple fingerprint recognition algorithm code, with test images. Non-commercial code.)

说明：  遗传算法的三种操作代码，差分进化算法(Differential Evolution Algorithm，DE)是一种高效的全局优化算法。它也是基于群体的启发式搜索算法，群中的每个个体对应一个解向量。差分进化算法的进化流程则与遗传算法非常类似，都包括变异、杂交和选择操作，但这些操作的具体定义与遗传算法有所不同(Three operation codes of genetic algorithm)

这是一个基于weka数据挖掘的实验测试数据集,格式为 arff,里面包含有名词性和数值型的数据集,用于weka挖掘测试(This is an experimental test data set based on weka data mining, in the format of arff, containing nominal and numerical data sets for weka mining testing)

检测心电信号QRS波, 检测准确率大于99%，数据库为MIT-BIH 心律失常数据库。(The algorithm can detect the qrs waves automaticlly.)

本MATLAB代码主要用于EEG脑电信号预处理和单次提取(Single extraction of EEG EEG signal)