经典原版数学教材，最新版本，资源比较难找，推荐给大家

consensus bridging theory and practice

Distributed source coding is one of the key enablers for efficient cooperative communication. The potential applications range from wireless sensor networks, ad-hoc networks, and surveillance networks, to robust low-complexity video coding, stereo/Multiview video coding, HDTV, hyper-spectral and multispectral imaging, and biometrics. The book is divided into three sections: theory, algorithms, and applications. Part one covers the background of information theory with an emphasis on DSC; part two discusses designs of algorithmic solutions for DSC problems, covering the three most important DSC problems: Slepian-Wolf, Wyner-Ziv, and MT source coding; and part three is dedicated to a variety of potential DSC applications. Key features: Clear explanation of distributed source coding theory and algorithms including both lossless and lossy designs. Rich applications of distributed source coding, which covers multimedia communication and data security applications. Self-contained content for beginners from basic information theory to practical code implementation. The book provides fundamental knowledge for engineers and computer scientists to access the topic of distributed source coding. It is also suitable for senior undergraduate and first year graduate students in electrical engineering; computer engineering; signal processing; image/video processing; and information theory and communications. Table of Contents Chapter 1: Introduction Part I: Theory of Distributed Source Coding Chapter 2: Lossless Compression of Correlated Sources Chapter 3: Wyner–Ziv Coding Theory Chapter 4: Lossy Distributed Source Coding Part II: Implementation Chapter 5: Slepian–Wolf Code Designs Based on Channel Coding Chapter 6: Distributed Arithmetic Coding Chapter 7: Wyner–Ziv Code Design Part III: Applications Chapter 8: Wyner–Ziv Video Coding Chapter 9: Correlation Estimation in DVC Chapter 10: DSC for Solar Image Compression Chapter 11: Secure Distributed Image Coding Chapter 12: Se

差分隐私（英语：differential privacy）是密码学中的一种手段，旨在提供一种当从统计数据库查询时，最大化数据查询的准确性，同时最大限度减少识别其记录的机会。

最优控制领域经典，全面的介绍了该领域的主要成果，全书理论深刻、方法具体、实例丰富，特别有关于如何处理路径约束的知识，是相关领域的必备书。

Switching and Finite Automata Theory.3rd, Kohavi,Z &Jha;,N.K(2010) 英文，高清，书签齐全

第三版习题答案 switching and finite automata theory 作者zvi kohavi 和niraj k jha

有限元的数学基础，springer出版。第三版。适合有限元方向的人阅读，理论方向讲的较多。主要面向想了解有限元的数学理论方向的人群。需要有一定的数学功底。

Two Dimensional Phase Unwrapping Theory Algorithms and Software，扫描文档，清晰度一般。

rosetta软件安装包及其简易教程，使用于数据集的约简。及一些粗糙集论文和粗糙集matlab代码