generateMultiFoci

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

说明：  ECG的应用：ECG在医疗检测方面发挥着中重要作用，本文中包含ECG 的Q波检测和ECG的分类，所以，心电信号至关重要。(Application of ECG: ECG plays an important role in medical detection. This paper includes Q wave detection of ECG and classification of ECG, so ECG signal is very important.)

VB编写的条码打印控制程序,可使用在ZEBRAZ4M等型号打印机(VB prepared barcode printing control procedures, the use of models in ZEBRAZ4M printers)

对心音信号的50hz陷波器设计和MFCC计算，能量的提取(Heart sound signal 50hz notch filter design and MFCC calculation, energy extraction)

说明：  通过python利用生成对抗网络对癫痫发作进行预测(Using Generative Adversarial Networks to Predict Seizures)

BP网络的MATLAB实现，用BP网络完成函数的逼近，具体见里面的README(BP Network MATLAB, BP network to be completed function approximation, the specific see inside the README)

验证了基因外显子的三周期特性，提出了一种优化确定阈值的方法，分别用固定窗口滑动，及滑动序列来对基因进行识别(Verified exon three-cycle characteristics, proposed an optimization to determine threshold and using fixed window sliding and sliding sequence to identify genes)

C.net开发计算器(C.net development Calculator)

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.)

瑞利散射的MATLAB仿真代码，来自汪利宏生物成像技术那本著作(Rayleigh scattering of the MATLAB simulation code, WANG Li-hong bio-imaging technology from that book)