ofdm_simulation

Matlab环境下使用的数学建模工具箱，包含多种数学建模工具(Matlab environment using mathematical modeling toolbox, including a variety of mathematical modeling tool)

随机网络生成代码，matlab编写。可以实现基本的随机网络的生成(random network)

《matlab神经网络43个案例分析》源码26，BP神经网络的分类——乳腺肿瘤诊断 ( Matlab neural network 43 Case Studies Source 26, BP neural network classification- breast cancer diagnosis)

Q-learning (Watkins, 1989) is a simple way for agents to learn how to act optimally in controlled Markovian domains. It amounts to an incremental method for dynamic programming which imposes limited computational demands. It works by successively improving its evaluations of the quality of particular actions at particular states. This paper presents and proves in detail a convergence theorem for Q,-learning based on that outlined in Watkins (1989). We show that Q-learning converges to the optimum action-values with probability 1 so long as all actions are repeatedly sampled in all states and the action-values are represented discretely. We also sketch extensions to the cases of non-discounted, but absorbing, Markov environments, and where many Q values can be changed each iteration, rather than just one.

可以产生正弦信号和白噪声时域信号波形，以及混杂噪声的正弦波波形，信噪比可调(the sinusoidal signal can be generated when the white noise domain waveform, sinusoidal waveform, and the noise mixed SNR adjustable)

Particle Filter written in Matlab

说明：  用图像进行物体角度测量的代码，在Matlab下编写，很有参考价值。(image objects angle measurement for the code in Matlab under preparation, great reference value.)

利用MATLAB产生m序列 产生m序列图形 这是一个m序列的MATLAB产生程序(Sequence generated using MATLAB m m sequence generated graphics This is a MATLAB m sequence generation process)

comparison capacity between SISO and MIMO

vertical handoff in heterogeneous wireless network