LDA

Fasta序列处理工具：包含蛋白或者DNA序列的编辑，获取局部序列，CDS翻译成蛋白，序列格式化功能等(The Fasta sequence processing tools: contain protein or DNA sequence editor for local sequence, CDS translated into protein sequence formatting functions)

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?)

电力黑启动综合程序,用于大面积断电以后,快速恢复电力,含多个子程序(Power black-start synthesis program, used for power recovery after a large area power failure, including a number of subroutines)

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.)

稀疏PCA的优化解算法，较新的pca算法，供大家学习交流！(Optimal Solutions for Sparse Principal Component Analysis)

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】)

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.)

用matlab编写的，基于元胞自动机的交通流模型(Using matlab，Based on cellular automata traffic flow model)

传染病的SI SIS SIR 三种数学建模模型。文件内包含程序以及仿真结果图。是初学者学习的好材料！(Infectious diseases SI SIS SIR three kinds of mathematical modeling model. The file contains the procedures and simulation results Figure. It is a good material for beginners to learn!)

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)