关于gabor算法的matlab和c的源程序

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!)

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)

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)

MATLAB心电图自动诊断程序。围绕心电信号预处理、心电波形检侧与定位、心电特征提取与分析三个方面。研究MIT数据库中的心电信号，针对心电信号中存在的工频干扰、基线漂移、肌电干扰等各种噪声,设计出了高通、低通、带阻、平滑效果滤波器来对心电信号进行预处理，对处理后的信号采用连续小波变化进行特征点的定位及瞬时心率的计算，最后通过分析给出诊断结果。(MATLAB ECG automatic diagnosis program. Around the ECG signal preprocessing, ECG waveform detection and location, ECG feature extraction and analysis of three aspects, the study of MIT in the ECG signal. According to the frequency interference, baseline drift in the presence of ECG, EMG interference and other noise, design a high pass, low pass, band stop filter, smoothing effect of pretreatment of the ECG signal, the calculation of the processed signal using continuous wavelet transform to locate feature points and instantaneous heart rate, finally the diagnosis results.)

使用阈值法对脉搏信号的峰值进行提取，并且通过提取信号的峰值求脉搏信号的周期，并且简单判断脉搏信号的峰值是否可用。(Useing Threshold to extrack the peak of the pulse signal extraction, and determine the peak of the pulse signal whether is not available.)

this the code of invasive weed colony algorithm in matlab

This is my course final project for biometrics. It implements a robust face recognition system. Techniques used include Log-Gabor filter , Kernel Discriminant Analysis(KDA) and Sparse Representation . Test data included(ORL database of faces).

经典KFCM算法在iris数据库上的使用！(The classic KFCM algorithm in the iris database!)

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.)

孟德尔隐马尔科夫的源程序，对于孟德尔隐马尔科夫的研究者有帮助