bpskenergy

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.

可以从一幅含有头和肩部的图像中检测出人脸，并用矩形框框起来，将矩形框中的人脸裁剪出来并另存为80*80的图片(Can be detected an image containing a head and shoulders of a person' s face, and the frame up with a rectangle, the human face of the rectangular box to cut out and save it as 80* 80 pictures)

用MATLAB实现人脸识别的源代码，包括训练集的实现，识别部分的书写。(Face recognition using MATLAB source code, including writing to achieve the training set, the identification section.)

网上最好的project书籍，对你学习使用project这个软件有很大的帮助。(The best project books online, you learn how to use the software project of great help.)

说明：  移相干涉求相位，既求出基于相位偏移干涉术的初始相位值(Phase-shifting interference requirements phase, not only find the phase shift interferometry based on the initial phase value)

详细介绍了Adaboost的matlab实现方法(Details on Adaboost matlab implementation)

tuning pid controller "matlab"

function deconvolution in matlab

image resize, gray, average filter, gaussian filter

使用Hough Transform做圓形偵測(Circle detection using the Hough Transform .)