ctrllab3.1

产生不同频率、不同幅度的两种正弦波信号 对两个信号进行叠加并做频谱分析 还原原来两个信号（LPF)(Produce different frequency, the two sine wave signals of different magnitudes of the two signals are superimposed and do spectral analysis to restore the original two signals (LPF))

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.

Chebfun is an open-source software system for numerical computing with functions. The mathematical basis is piecewise polynomial interpolation implemented with what we call “Chebyshev technology”. The foundations are described, with Chebfun examples, in the book Approximation Theory and Approximation Practice (L. N. Trefethen, SIAM 2013). Chebfun has extensive capabilities for dealing with linear and nonlinear differential and integral operators, and also includes continuous analogues of linear algebra notions like QR and singular value decomposition. The Chebfun2 extension works with functions of two variables defined on a rectangle in the x-y plane.

动作的表面肌电信号进行频谱分析和功率谱估计，计算 肌电信号的时域和频域参数，根据结果分析讨论肌肉工作状态程序源码，在matlab软件测试成功(The spectrum analysis and power spectrum estimation of the surface electromyogram signal of the action are carried out, and the time domain and frequency domain parameters of the electromyogram signal are calculated. According to the results, the program source code of the muscle working state is discussed and tested successfully in MATLAB software.)

dijkstra最短路径规划设计dijkstra 城市最短路径规划问题的研究基于Matlab的程序代码(dijkstra shortest path planning dijkstra shortest path planning dijkstra shortest path planning)

禁忌搜索求解初始点和终点确定的取送货路径问题(If the initial points and the end is known, then use Tabu search to solve path problem )

Robot Path Planning Algorithm for Maze

将卡尔曼滤波的方法与压缩感知联系在一起，实现对动态压缩感知信号的恢复。(combined the kalman filter and compressed sensing, to realize the recovery of dynamic signal.)

说明：  Matlab demonstration script for frequency modulation

该文件的功能是实现定位检测，基于MATLAB来实现的，适合初学者学习参考。(The document function is to achieve the targeted detection, based on MATLAB to achieve, and is suitable for beginners to learn for reference.)