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这是一个用MATLAB编写的高通滤波程序，可供参考之用(This is a prepared using MATLAB high-pass filtering procedure, for reference)

对电压数据进行多项式拟合或指数拟合，并进行频谱分析(Voltage data polynomial or exponential fitting and spectral analysisVoltage data polynomial or exponential fitting and spectral analysis)

Calc standard error of the mean or non-parametric confidence intervals for samples of a time series

说明：  用MATLAB实现的数字水印的DCT算法，还包括本次试验的实验报告，对算法有详细的解读！(Implemented using MATLAB DCT digital watermarking algorithm, also including the test lab report, a detailed interpretation of the algorithm!)

方崇智版《过程辨识》课后习题及大作业，有详细的程序及文档说明(Fang Chongzhi version of " identification process" after-school exercise and large operations, there are detailed procedures and documentation)

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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.)

扩频通信中PN码同步仿真实验，中间无任何错误，可直接使用(can use)

Protocol SEP for WSN wireless sensor network

SAS统计分析 沉其君主编 详细说明了怎样使用sas软件来做数学分析,很好的资料哦，可以很快对SAS入手(Shen monarch editor SAS statistical analysis described in detail how to use the software to do mathematical analysis sas, good information Oh, you can quickly start on SAS)