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

说明：  表面肌电信号数字传感器的设计。表面肌电（suRFace electromyography, sEMG）信号是神经肌肉系统在进行随意性和非随意性活动时的生物电变化经表面电极引导、放大、显示和记录所获得的一维电压时间序列信号，其振幅约为0-5000μV，频率0-1000Hz，信号形态具有较强的随机性和不稳定性。与传统的针式肌电图相比，sEMG的空间分辨率相对较低，但是探测空间较大，重复性较好，对于体育科学研究、康复医学临床和基础研究等具有重要的学术价值和应用意义[1]。(Surface EMG digital sensor design)

这是在acm上所做的1003-1004,欢迎大家来下载,呵呵呵(This is 1003-1004 on acm. Welcome to download, huh?)

脑电睡眠分期svm分类器，可用于家庭监测人的睡眠(SVM classifier for electroencephalogram sleep staging)

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.)

利用支持向量机的最优算法,来分割图像,可以得到有效地细胞分离图片(Using the optimal algorithm of support vector machine to segment the image, we can get the cell separated image effectively.)

筛选的几篇脑电节律提取的文章，可以用于其它信号处理~ 【基于改进小波变换的EEG分析】【基于小波变换的动态脑电节律提取】【脑电信号的特征节律信号提取】【a、β、δ、θ和40Hz波实时检测器】(Screening of several EEG extracted article, can be used for other signal processing ~ 【EEG based on improved wavelet analysis】 【based on wavelet transform extracts】 【dynamic EEG characteristics of EEG signal extraction】 【a rhythm , β, δ, θ, and real-time 40Hz wave detector】)

C8051F020单片机上，心电数据采集控制代码。(ECG data acquisition and control code)

a simple 2D pca algorithm using Matlab to realize face recognition.

提出了一种基于角度信息的约束总体最小二乘无源定位算法 该算法首 先将非线性的观测方程转化为线性方程, 并分析了观测噪声对线性(A constrained global least squares passive location algorithm based on angle information is proposed. In this algorithm, the nonlinear observation equation is first transformed into a linear equation, and the linear effect of observation noise is analyzed.)