Chapter_6

偏最小二乘法，可以用于化学，数学，经济，医药，卫生等诸多领域(PLS MATLAB)

本书介绍了C++实用编程技术和最佳的实践方法，深入研究了异常处理。(This book describes the practical C++ programming techniques and best practices, in-depth study of exception handling.)

GMM-GMR is a set of Matlab functions to train a Gaussian Mixture Model (GMM) and retrieve generalized data through Gaussian Mixture Regression (GMR). It allows to encode efficiently any dataset in Gaussian Mixture Model (GMM) through the use of an Expectation-Maximization (EM) iterative learning algorithms. By using this model, Gaussian Mixture Regression (GMR) can then be used to retrieve partial output data by specifying the desired inputs. It then acts as a generalization process that computes conditional probability with respect to partially observed data.

打开Matlab，输入代码，运行之，出结果(Open Matlab, enter the code, run it, the results)

用rbf神经网络对经提取得到的信号特征参数进行信号的模式识别。(Rbf neural network by using extracted parameters of the signal characteristics of the signal pattern recognition.)

用R/S方法来求hurst指数，matlab程序(R/S method to seek hurst index, matlab program)

Matlab仿真：采样次数与信号的信噪比的关系曲线图。(Matlab simulation: the number of samples and the signal to noise ratio of a plot.)

Cumulant-Based Inverse Filter Criteria

掌握舌象裂纹分析技术，能够根据舌象的纹理粗糙与细腻区别老嫩舌。(Grasp the tongue as crack analysis technology, according to the texture of the tongue as rough and delicate difference between the old tender tongue.)

说明：  求解系数矩阵由16阶Hilbert方程组构成的线性方程组， 3、共轭梯度法；(Solving the linear equations consisting of 16-order Hilbert equations of coefficient matrix. 3. Conjugate gradient method;)