Basic-Matlab

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.

ics 的malloc实现，采用分离存储，模拟memory的malloc和free等操作。(to realize the molloc and free operation, the lab of ics class)

区域生长: 标注详细,参数可在程序中调整(Regional Growth: tagging detailed parameters can be adjusted in the procedure)

Rayleigh distribution function

成功的模拟DBPSK误码率，而且精度特别高，值得学习的人好好借鉴一下(BER simulation of DBPSK successful, but accuracy is particularly high, it is a good reference to learn about people)

目标跟踪算法仿真几维Cv模型跟踪匀速直线运动(Target tracking algorithm to track the simulation model several dimensional uniform linear motion Cv)

14 bus power flow analysis with fault using psat

复杂网络中的计算工具，聚类系数和平均聚类系数的函数(The complexity of network computing tools, clustering coefficient and average clustering coefficient of the function)

基于mpsk的载波恢复,有完整的simulink模型，可以观察星座图(carrier recovery of Mpsk)

此是测试用的部分代码，对于大多数而言是很好用的哦。赞一个(This is part of the code used by the test of many good Oh. Praise a)