XY_DISPLAY

1/2卷积编码的硬判决实现，加awag噪声，bpsk调制·(1/2 convolutional coding realize the hard decision, Canada awag noise, bpsk modulation)

bpsk code simultaion made on matlab regarding bpsk

说明：  这是一个关于MATLAB的函数，能够用DEMO打开；使用时首先解压然后转换为M文件即可。很方便的。(It is a MATLAB function, can open the DEMO use first and then converted to M-extracting files. Very convenient.)

正交匹配追踪，信号压缩传感的实现，可近似完全重构(Orthogonal matching pursuit)

读雷达基数据,格式为敏视达SA，类型为反射率因子。将其读入矩阵，并进行了插值，可以以图象显示。(Reading Radar Data)

ARIMA 时间序列法预测未来一段时间的风速或者风电功率(wind prediction )

matlab--巴特沃斯高通滤波算法来增强图像(Matlab, butterworth high pass filter algorithm to enhance image)

a beginer s guide to matlab, english version

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.)

Westerberg分析自由度的资料，自适应处理入门兄弟的好资料，呵呵(Westerberg et al. (1979) approach is used to analyze the Degrees of Freedom (DF) of both the individual units of a process flowsheet and the entire flowsheet.)