WignerVille

我在这里有一个基于matlab的RNN递归网络源代码，希望和大家一起分享(I have a Matlab-based RNN recursive network source code, I hope to share with everyone)

一种求根music，高分辨谱估计算法，包含论文和代码(rooted music algorithm)

利用自然梯度算法，构成不同频率的调制信号，包含位置式PID算法、积分分离式PID，一些自适应信号处理的算法，包括最小二乘法、SVM、神经网络、1_k近邻法,使用起来非常方便，合成孔径雷达（SAR)目标成像仿真。( Use of natural gradient algorithm, Constituting the modulated signals of different frequencies, It contains positional PID algorithm, integral separate PID, Some adaptive signal processing algorithms, Including the least squares method, the SVM, neural networks, 1 _k neighbor method, Very convenient to use, Synthetic Aperture Radar (SAR) imaging simulation target.)

DiscreteTFDs is a time-frequency analysis package.

本算法用matalab语言编写，实现了在DCT 域内应用RBF 神经网络检测图像水印(This algorithm with matalab language, the DCT domain RBF neural network application image watermark detection)

example in computer networks

说明，如对听觉神经元间音爆穗间隔（ISI）的刺激之间的重复变异是用来区分标准条件，他们的反应之一。方法使用标准箱及产生的噪声和有偏见的所需数量的估计。此函数计算它到底。 MATLAB的MATLAB的版本7.11（2010b）(Description The variation in Inter-Spike Interval (ISI) between repetitions of a stimulus such as a tone burst for auditory neurons is one of the standard criteria used to classify their responses. The standard method uses bins and produces a noisy and biased estimate of the required quantity. This function calculates it exactly. MATLAB release MATLAB 7.11 (2010b) )

精密单点定位的程序，是对初学者的很好的资料，很容易入手(Precise point positioning procedure ，is good information for beginners, it is easy to start)

说明：  遗传算法GA—模拟自然界遗传机制和生物进化论而成的一种并行随机搜索最优化方法。（具有“生存+检测”的迭代过程的搜索算法）基于自然界“优胜劣汰，适者生存”的生物进化原理引入优化参数形成的编码串联群体中，按照所选择的适应度函数并通过遗传中的选择、交叉和变异对个体进行筛选，使适应度值好的个体被保留，适应度差的个体被淘汰，新的群体既继承了上一代的信息，又优于上一代。反复循环，直至满足条件。(GA-A parallel random search optimization method that simulates natural genetic mechanisms and biological evolution. (Search algorithm with "survival + detection" iterative process) Based on the biological evolution principle of "survival of the fittest, survival of the fittest" in the natural world, the coding series formed by optimized parameters is introduced. Individuals are screened according to the selected fitness function and through genetic selection, crossover, and variation, so that individuals with good fitness values are retained, individuals with poor adaptability are eliminated, and new groups inherit the information of the previous generation., Better than the last generation. Repeat until conditions are met.)

matlab code for finite element method