Chapter 3 (The Reinforcement Learning Problem)

matlab灰度图形直方图均衡化源程序gray histogram equalization matlab source graphics(gray histogram equalization matlab source graphic gray histogram equalization matlab source graphics)

完整的逆序动态规划程序，含详细注释，最优策略的完整输出(Complete reverse dynamic planning process, with detailed notes)

设一个小孩在平面上沿着某曲线行走，此曲线由时间参数曲线确定。假设小孩借助于一个长度为 的硬木棒拖着或推着一个玩具，试求玩具的平面轨迹。(set up a child in a plane curve walk along this curve by the time parameter curve. Using a hypothetical child for the length of the hard wooden dragging or pushing a toy, toys trial for the plane trajectory.)

车辆信号的震动信号的滤波、幅值以及能量分析，信号是利用测试台采集回来的。(Vehicle vibration signal filtering signals, amplitude and energy analysis, the signal is the use of test collection back.)

MATLAB code for EDO and RungeKutta methods

对流扩散方程的上风差分，又称为迎风差分。时间项为显性差分。(Convection diffusion equations with upwind difference, also known as the upwind difference. Time for the explicit finite difference. )

Matlab手册，涉及功能比较广，而且有例子，适合入门。(Matlab manual, involving broad features, and examples of suitable entry.)

音乐信号处理 实现时域延时和混响的处理 实现频域均衡器的设计(Music signal processing delay and reverberation time-domain processing of frequency-domain equalizer design)

认知无线电是一种用于提高无线电通信频谱利用率的新的智能技术. 首先简述认知无线电的背景和概念,针 对认知无线电的频谱感知功能,详细地分析基于能量检测的频谱检测方法,在此基础上研究了噪声方差的不确定 性对检测性能的影响. 针对无线信号检测具有本地局域性和能量检测存在信噪比极限的特点,提出一种分布式有 限合作检测机制,推导出基于“OR”规则的有限合作机制的检测概率,并进行Monte Carlo仿真.(Cognitive radio is a radio communications spectrum used to improve the efficiency of the new smart technology. First, the background and outlined the concept of cognitive radio, spectrum sensing for cognitive radio capabilities, a detailed analysis of the spectrum based on energy detection test In this study the noise variance based on the uncertainty of the detection performance. for wireless signal detection with local detection of localized and there is signal to noise ratio limit of the energy characteristics of a distributed cooperative detection mechanism, derived out based on " OR" rules of the detection probability of the limited cooperation mechanism and conduct Monte Carlo simulation.)

int compare(const char* a, const char* b, int size) { for (int i = 0 i < size i ++) { if (a[i] != b[i]) { return i } } return -1 } (int compare(const char* a, const char* b, int size) { for (int i = 0 i < size i++) { if (a[i] != b[i]) { return i } } return-1 } )