iterative-learning-of-two-wheel-car

5位0-7数字的rs编码，解码和纠错，两位纠错码(Rs numbers 0-7 5 encoding, decoding, and error correction, the two error correction code)

在matlab中，采用模糊神经网络对监控水资源(In matlab using fuzzy neural network monitoring water)

在matlab环境下，根据四级移位寄存器产生的M序列(-1,+1)(Matlab environment, according to the four shift register M sequence (-1,+1))

matlab下用于稳定系统设计的库文件，可以作为辅助设计系统的软件使用(Qsyn the Toolbox for Robust Control Systems Design for use with Matlab)

S-MAC implementation for Omnet++

MATLAB最陡下降法自适应滤波器的数据，以及处理程序·(MATLAB method of steepest descent adaptive filter data, and processing)

说明：  有关于S函数的，滑模变结构例程3,内涵simulink和m函数(Learning about the S function, SMVSC routine 3)

核查的关键在于对核材料属性准确、有效地识别[1][2]。利用252Cf作为随机脉冲中子源，对其入射核材料所产生的诱发裂变中子脉冲信号进行采集、处理和分析，得到自相关、互相关、自/互功率谱、功率谱密度比等一系列参数，从而反演核材料内部的反应性的情况，便可用于分析和识别核材料，其基本原理就是252Cf中子源驱动噪声分析测量法[(The result shows that the trained Elman neural network is able to identify the characteristics of correlation function, to distinguish different concentrations, and the average recognition rate reaches 90 , with high robustness.)

基于MATLAB的模式识别的参数估计的最大似然估计，处理水环境分类问题，共分为5类，最后利用贝叶斯决策得出五类总的识别率。 (Maximum likelihood estimation of parameters of pattern recognition of MATLAB estimation based on classification of water environment treatment problem, is divided into 5 categories, the last use of Bayesian decision obtained five types of the total recognition rate. )

最大lyapunov指数谱的计算，采用wolf方法，且进行了功率谱分析(Lyapunov index spectrum of the largest, with wolf method and spectral analysis carried out)