fftsiji

说明：  用matlab实现图像模糊化的处理并产生动态效果(Matlab fuzzy with the processing of image and produce the dynamic effects)

选择使用matlab对图像进行四叉树分解，并且显示稀疏矩阵的结果。(Choose to use the matlab quadtree decomposition of the image, and sparse matrix results.)

高斯白噪声产生程序文件，直接可用有注释 对于初学者有帮助(Gaussian white noise generated files, can be annotated directly helpful for beginners)

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.

地震波的加pml边界的正演模拟程序，震源在中心，向四周扩散。(Plus pml boundary of the seismic wave forward modeling program source in the center to the edges.)

gps的捕获程序 ,完整的生成相关非相干积分，捕获门限判定(gps capture program ~ ~ ~ Complete generate relevant non-coherent integration, limit determination to capture the door ~ ~ ~ ~ ~ ~)

关于主成分分析的文章，本人所作，有一定参考价值的(on principal component analysis of the article, I made a reference to a certain value)

耳蜗实质上相当于一个滤波器组，耳蜗的滤波作用是在对数频率尺度上进行的，在1000HZ下，人耳的感知能力与频率成线性关系；而在1000HZ以上，人耳的感知能力与频率不构成线性关系，而更偏向于对数关系，这就使得人耳对低频信号比高频信号更敏感。Mel频率的提出是为了方便人耳对不同频率语音的感知特性的研究。频率与Mel频率的转换公式为(Cochlear substantially equivalent to a filter set, cochlear filter is used on logarithm frequency scale, under the 1000 hz, the perception of the human ear and a linear relationship with frequency In more than 1000 hz, the perception of the human ear does not constitute a linear relationship with frequency, and prefer to logarithmic relationship, which makes the human ear is sensitive to low frequency signal is better than high frequency signal. Mel frequency is put forward in order to facilitate the ear of the study of speech perception characteristics of different frequency. For frequency and Mel frequency conversion formula )

利用分数阶傅立叶变换进行信号参数估计，本程序是对LFM信号的参数中心频率和调频斜率进行估计(Use FRFT signal parameter estimation, the parameters of this program is the center frequency and frequency rate LFM signal is estimated)

支持向量机的MATlab工具包，很有用，也很复杂，没有功底的，就别下了(SVM MATlab kit, useful, and very complex, there is no foundation for, do not down)