qlearning

Koch等人最新的注意力选择算法matlab工具箱2006版(Toolbox code of Attention Selection model by Koch 2006)

几个BOC 信号的分析例程，全球卫星导航系统将普遍采用BOC调制信号作为扩频测距信号，BOC信号自相关函数呈现多个相关峰，传统扩频接收机所用的延迟锁定环（DLL）无法对该信号正确地进行码相位的(Several BOC signal analysis routines, the global satellite navigation system will be widely used BOC modulation signal as a spread spectrum ranging signal, BOC signal auto-correlation function shows a number of correlation peak, the traditional spread-spectrum receiver using delay locked loop (DLL) the signal can not be correctly code phase)

meiyou wenjianshuoning (nonono nono nono nono n non non ono nonon o non on on onon)

用matlab实现的神经网络识别字母的程序，识别率达到100 。(Program of neural network regnizing letters using MATLAB, the accuracy is up to 100 )

现代信号检测与方法，主要分析正交频分复用信号检测与调制识别(signal detection)

A set of functions to automatically process files saved by Avantes AvaSoft 7 software. See demo for example of use and descriptions within each m-file. The main function to use is avantesSpectrumRead, it will read all binary and ASCII files saved by Avantes within a directory. The binary file reader is the avantesBinaryRead function. A couple of additional useful functions (getScansByTime and getValueAtWavelength) are provided.

定制神经网络的实现——神经网络的个性化建模与仿真(Artificial Neural Networks matlab)

matlab calculator program

高斯白噪声下的仿真模型，有些参数还需要优化(Simulation model under Gaussian white noise)

NTKL法可以同时检测光谱异常点、参考数据异常点及其他们共同的异常点，该方法的基本思路是基于蒙特卡洛采样，随机将样本集划分为校正集与预测集，用校正集建模，并对没参与建模的样本进行预测误差计算，进行几千次这样随机采样，每个样本点都可得到其预测误差分布。如果奇异样本在校正集中，整个模型的质量将受到影响；相反，如果奇异样本在预测集中，仅此样本的预测结果受到影响。(NTKL method can simultaneously detect abnormal spectrum and abnormal reference data points and their common abnormal point, the basic idea of this method is based on the monte carlo sampling, sample set random be divided into calibration set and prediction set, using correction modeling, modeling and participated in the samples of the prediction error calculation, a thousands of times that of random sampling, each sample point can be obtained the prediction error distribution.If singular samples in correction, the model of quality will be affected.Singular samples in predicting concentration, on the contrary, if only for the sample prediction results are affected.)