并联机器人运动学正逆解程序

matlab 仿真实例，对于matlab仿真具有很重要的意义(matlab simulation, matlab simulation for a very important significance)

这里共六个文件夹，包含了AR模型的burg算法，功率谱估计，维纳滤波，AR模型的全极点模型等等。(Here a total of six folders contain the AR model of the burg algorithm, power spectrum estimation, Wiener filtering, AR model of all-pole model and so on.)

K means code for k means algorithm

代码的mrics。M’是从他们的傅立叶系数的一个子集，使用总变分正则化图像重建的分裂Bregman方法的实现。使用代码指令可以在文件“mrics顶在评论中发现。”。一个演示脚本也包括在内，显示正确的使用方法。(The code ‘mrics.m’ is an implementation of the Split Bregman method for reconstructing images a subset of their Fourier coefficients using total-variation regularization. Instructions for use of the code can be found in the comments at the top of the file “mrics.m”. A demo script is also included that demonstrates proper use of the method.)

FACS表情图释，包括肌肉图解和各种表情的诠释，有助于人脸表情识别研究学习(FACS expression emoticons, including muscle illustrations and expressive interpretation, contribute to the study of facial expression recognition learning)

支持向量机比较好的一个例子，包含了参数寻优，训练值回归和测试集的检验，以及方差分析(A support vector machine good example, contains a parameter optimization, training and test sets Regression testing, and analysis of variance)

关于matlab编译器的一些教学源代码，共四个代码(About the matlab compiler some teaching source code, a total of four code)

if a radio configuration is given, what are its anticipated capabilities (e.g., in terms of achievable data rate), taking into account recent information sensed, as well as the past experience and knowledge?”.Here learning schemes are considered for basic and extended based on neural networks and ANFIS are designed to enhance the learning capabilities of a cognitive terminal, in terms of assisting it to predict the data rate that a specific radio configuration could achieve if it was selected for operation.

matlab量化择时模型回测代码，matlab量化择时模型回测代码(Optional model to quantify when backtesting matlab code)

当信号中有直流分量时，第一个图是直接对含有直流分量的信号进行希尔伯特变换求解包络，下面的图是先消除直流分量求出信号的包络线，再在包络线上叠加直流分量恢复原始信号的包络线。当含有较大的直流分量时可以用极大值极小值的方法计算信号的包络线。