activeContoursDemo

a detilled model and simulation of the double star induction machine

使用matlab做出显示在屏幕上的精美日历(Using matlab to display beautifully on the screen calendar)

The early detection of arrhythmia is very important for the cardiac patients. This is done by analyzing the electrocardiogram (ECG) signals and extracting some features from them. These features can be used in the classification of different types of arrhythmias. In this paper, we present three different algorithms of features extraction: Fourier transform (FFT), Autoregressive modeling (AR), and Principal Component Analysis (PCA). The used classifier will be Artificial Neural Networks (ANN). We observed that the system that depends on the PCA features give the highest accuracy. The proposed techniques deal with the whole 3 second intervals of the training and testing data. We reached the accuracy of 92.7083 compared to 84.4 for the reference that work on a similar data.

超级大电容以及电池的充放电仿真，根据功率控制从而得到给定的输出功率(Super capacitor and battery charge and discharge simulation, according to power control to get a given output power)

再用主成分分析方法进行信号噪声去除。文件中包含三个子函数：1.Normalize_InputData，规则化输入数据；2.PCA_Reduce_Dimension，实现数据降维处理；3.PCA_Filter_Noise，实现噪声去除(the principal component analysis method for signal noise removal. The file contains three sub-functions: 1.Normalize_InputData, regularized input data; 2.PCA_Reduce_Dimension, to achieve data dimension reduction processing; 3.PCA_Filter_Noise, to achieve noise removal)

matlab programming for sudoku

Matlab图像处理实例详解第五章源码，欢迎大家下载学习，很好很强哟！！(Detailed examples Matlab image processing source code chapter are welcome to download the study, very strong yo! !)

this is implementation of fuzzy robot using java and FCL file fuzzy inference system

omp 算法 你可以通过这个算法完成图像恢复，效果好，恢复时间短，误码率低，解决凸优化算法复杂度高的缺点convex optimization algorithm with high complexity(omp algorithm you can accomplish by this algorithm for image restoration, good effect, shorter recovery time, error rate, to solve the shortcomings of convex optimization algorithm with high complexity)

face recognition by using histogram matching