capacity_comparison_bidirectional

说明：  fcm模糊聚类算法的matlab实现，非常好用(fcm the matlab fuzzy clustering algorithm to achieve very good)

low pass filter for denoising ecg

matlab 求解非线性方程组的相关命令流，书籍为：MATLAB语言常用算法程序集龚纯, 王正林编著第10章(matlab )

MB8四旋翼自动驾驶仪的源码，包括姿态采集，状态估计以及控制输出。不推荐直接使用，但是可以作为学习(MB8 four rotor autopilot source, including posture acquisition, state estimation and control output. Not recommended for direct use, but can be used as learning)

广义互相关函数求时间延迟,PHAT，SCOT等加权方式(GCC for TDOA，PHAT，SCOT)

说明：  R implementation of a regression method to optimize stock values. The files contain code and two text files with two different examples. Coded using RStudio.

An important aspect of an ANN model is whether it needs guidance in learning or not. Based on the way they learn, all artificial neural networks can be divided into two learning categories - supervised and unsupervised. • In supervised learning, a desired output result for each input vector is required when the network is trained. An ANN of the supervised learning type, such as the multi-layer perceptron, uses the target result to guide the formation of the neural parameters. It is thus possible to make the neural network learn the behavior of the process under study. • In unsupervised learning, the training of the network is entirely data-driven and no target results for the input data vectors are provided. An ANN of the unsupervised learning type, such as the self-organizing map, can be used for clustering the input data and find features inherent to the problem.

Gaussian_Window,Fourier_Transform的matlab代码例程(matlab code about Gaussian_Window,Fourier_Transform)

脑电信号的读取以及用小波分析算法对其进行分解和重构(Eeg reading and using wavelet analysis algorithm for decomposition and reconstruction)

说明：  K线图以及常用技术指标的MATLAB实现(Realization of K-Line Diagram and Common Technical Indicators by MATLAB)