使用阈值法对脉搏信号的峰值进行提取 pulse peak detection

提供了图像识别，包括人脸识别和虹膜识别，是不可多得的程序(for image recognition, face recognition and iris recognition, is a rare procedure)

互四阶累计量算法,希望大家能够喜欢 我很喜欢这个网站(Mutual fourth-order cumulant algorithm, I hope you can like I like this site very much.)

this the code of invasive weed colony algorithm in matlab

ACM资料大集合,超多关于ACM的资料,全是很经典的,要是把这个全搞定,肯定是金奖！(ACM data collection, a lot of information about ACM, all is very classic, if this is all done, is definitely a gold medal!)

一篇关于蚁群算法的论文,侧重于对算法的背景,研究状况,数学推导的介绍,具有一定的学术价值,(A paper on ant colony algorithm, focusing on the background of the algorithm, research status, mathematical derivation of the introduction, has certain academic value,)

脉搏波的多处采集点的波形，可用来进行对比，或是进行血管建模，很适合初学者(The various collection points of pulse wave waveform, can be used to compare, or modeling of blood vessels, it is suitable for beginners)

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.)

用语言编写的解线性方程组的直接方法包含Gauss顺序消去法,Gauss列主元素消去法,Doolittle三角分解法(The direct methods for solving linear equations written in language include Gauss sequential elimination method, Gauss column principal element elimination method and Doolittle trigonometric decomposition method.)

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.)

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,)