guyoupinlvjisuan

The zip file contains several matlab files. These files implement the optimal vlassifier (optimal_classifier.m), a sub-optimal classifier (SOS_STBC_Classifier.m) which is based on Second Order Statistic and a low-complexity sub optimal code-parameter classifier (CP_Classifier.m). See reference [1] for the theoretical background. Example: To create the fig 3,4 and 5 of the paper, call the routine: Blind_recognition_STBC2_simulation_results(512,4, PSK ,4) Reference: [1] V. Choqueuse, M. Marazin, L. Collin, K. Yao and G. Burel "Blind recognition of STBC: A Likelihood-based Approach", IEEE Transactions on Signal Processing (IF: 2.33), vol. 58(3), pp : 1290-1299, March 2010.

部分神经元的连线图,画图程序drawing 画神经元连线(draw neurons connection)

Pulse generation of inverters

DFT变换求相位差和振幅大小程序，可以滤除噪声精确求得相位差和幅度值(DFT code)

This is SOM clustering source code

Artifical neural network forecasting. The code helps so much in training and testing data. It also developed in order to predict another new data base on the observed data

This is a Particle Swarm Optimisation technique.

Autoencoders for dimensionality reduction using stacked restricted boltzmann machines

说明：  性能优异的智能优化算法，灰狼优化算法完整代码，通俗易懂，有望应用于多方面的工程领域。(Excellent performance of intelligent optimization algorithm, gray Wolf optimization algorithm complete code, easy to understand, is expected to be applied in many aspects of the engineering field.)

matlab学习教程 内容很基本，我也是转载的 对新手很有帮助，英文的，但是能听懂(matlab tutorial learning content is very basic, I am also reproduced very helpful for novice English, but can understand)