Methods

通过Matlab编程，经过提取特征参数与模板对比，可以识别0-9十个数字。(By Matlab programming, after extracting characteristic parameters compared with the template, you can identify 0-9 ten numbers.)

说明：  高斯过程(GP)模型中推理和预测的实现。它实现了在《Rasmussen & Williams:机器学习的高斯过程》(麻省理工学院出版社，2006)和《Nickisch & Rasmussen:二进制高斯过程分类的近似》(JMLR, 2008)中讨论的算法。该函数的优点在于灵活性、简单性和可扩展性。该函数具有一定的灵活性，首先通过定义均值函数和协方差函数来确定遗传算法的性质。其次，它允许指定不同的推理过程，如精确推理和期望传播(EP)。第三，它允许指定似然函数，如高斯函数或拉普拉斯函数(用于回归)和累积逻辑函数(用于分类)。简单性是通过一个简单的函数和紧凑的代码实现的。可扩展性是通过模块化设计来保证的，允许为已经相当广泛的推理方法、均值函数、协方差函数和似然函数库轻松添加扩展。(Gaussian Processes for Machine Learning , the MIT press, 2006 and Nickisch & Rasmussen: Approximations for Binary Gaussian Process Classification , JMLR, 2008. The strength of the function lies in its flexibility, simplicity and extensibility. The function is flexible as firstly it allows specification of the properties of the GP through definition of mean function and covariance functions. Secondly, it allows specification of different inference procedures, such as e.g. exact inference and Expectation Propagation (EP). Thirdly it allows specification of likelihood functions e.g. Gaussian or Laplace (for regression) and e.g. cumulative Logistic (for classification). Simplicity is achieved through a single function and compact code.)

信号盲分离的程序，对盲信号处理的可以作为参考(Blind separation procedures, blind signal processing can be used as reference)

说明：  迭代法 最简单的方法求取一个阈值 用来分割图像(Iteration threshold method)

matlab code to convert rgb to yuv

神经网络训练拟合函数曲线，拟合复杂函数曲线(The neural network training function curve fitting)

本文是编程来实现图像缩放，从而熟悉图像的几何变换(This is a program to implement image scaling, so familiar with the image of the geometric transformation)

Solves matrix equation of type AX+XB+XCX+D = 0 for X being non-square

说明：  雷达恒虚警检测（CFAR）一维距离像蒙特卡洛仿真，探究不同信噪比下CFAR检测概率，在一维CFAR基础上修改程序得到。参考《雷达信号处理基础》一书。(One dimensional range profile Monte Carlo simulation of CFAR is used to explore the probability of CFAR detection under different signal-to-noise ratio. The program is modified based on one-dimensional CFAR. Refer to the book "Fundamentals of radar signal processing".)

稻森千惠基于MATLAB的数字基带通信系统仿真(The Inamori qianhui communicate with MATLAB-based digital baseband system simulation)