关于photo mapping最经典的书，是photo mapping的创始人写的书。

论文+代码 论文详细P. Perona and J. Malik. Scale-space and edge detection using anisotropic diffusion.IEEE Trans. 1990.

Aimed at econometricians who have completed at least one course in time series modeling, Multiple Time Series Modeling Using the SAS VARMAX Procedure will teach you the time series analytical possibilities that SAS offers today. Estimations of model parameters are now performed in a split second. For this reason, working through the identifications phase to find the correct model is unnecessary. Instead, several competing models can be estimated, and their fit can be compared instantaneously. Consequently, for time series analysis, most of the Box and Jenkins analysis process for univariate series is now obsolete. The former days of looking at cross-correlations and pre-whitening are over, because distributed lag models are easily fitted by an automatic lag identification method. The same goes for bivariate and even multivariate models, for which PROC VARMAX models are automatically fitted. For these models, other interesting variations arise: Subjects like Granger causality testing, feedback, equilibrium, cointegration, and error correction are easily addressed by PROC VARMAX. One problem with multivariate modeling is that it includes many parameters, making parameterizations unstable. This instability can be compensated for by application of Bayesian methods, which are also incorporated in PROC VARMAX. Volatility modeling has now become a standard part of time series modeling, because of the popularity of GARCH models. Both univariate and multivariate GARCH models are supported by PROC VARMAX. This feature is especially interesting for financial analytics in which risk is a focus. This book teaches with examples. Readers who are analyzing a time series for the first time will find PROC VARMAX easy to use; readers who know more advanced theoretical time series models will discover that PROC VARMAX is a useful tool for advanced model building.

winbugs说明和建模代码

何恺明博士的经典论文，极简单的方式对图像去雾做了重大提升。 本文为原论文的翻译。

Digital Systems Design Using Verilog 很好的书籍很好的书籍

Embedded Linux Development Using Yocto Project Cookbook Second Edition 第二版

数字图像处理 matlab版 资料 源码中引用的图片，源码。

Realtime Multi-Person 2D Pose Estimation using Part Affinity Fields 中文版，帮助想研究此论文的朋友节省时间

这是模型预测控制的国外优秀教材，精简的阐述了利用matlab来实现模型预测控制，并有实例代码