Real Analysis with Real Applications, Kenneth R.Davidson, Prentice 2002.pdf

[Alan.V.Oppenheim].Signals.and.Systems.2nd.Ed.[Prentice.Hall].1997 英文清晰版本

Error Control Coding-Fundamentals and Applications(Prentice Hall 1983)

D. H. Johnson and D.E. Dudgeon, Array Signal Processing: Concepts and Techniques, Prentice Hall, 1993.

Katsuhiko Ogata-System Dynamics (4th Edition)-Prentice Hall (2003)

The Definitive Plain-English Guide to Big Data for Business and Technology Professionals Big Data Fundamentals provides a pragmatic, no-nonsense introduction to Big Data. Best-selling IT author Thomas Erl and his team clearly explain key Big Data concepts, theory and terminology, as well as fundamental technologies and techniques. All coverage is supported with case study examples and numerous simple diagrams. The authors begin by explaining how Big Data can propel an organization forward by solving a spectrum of previously intractable business problems. Next, they demystify key analysis techniques and technologies and show how a Big Data solution environment can be built and integrated to offer competitive advantages. Discovering Big Data’s fundamental concepts and what makes it different from previous forms of data analysis and data science Understanding the business motivations and drivers behind Big Data adoption, from operational improvements through innovation Planning strategic, business-driven Big Data initiatives Addressing considerations such as data management, governance, and security Recognizing the 5 “V” characteristics of datasets in Big Data environments: volume, velocity, variety, veracity, and value Clarifying Big Data’s relationships with OLTP, OLAP, ETL, data warehouses, and data marts Working with Big Data in structured, unstructured, semi-structured, and metadata formats Increasing value by integrating Big Data resources with corporate performance monitoring Understanding how Big Data leverages distributed and parallel processing Using NoSQL and other technologies to meet Big Data’s distinct data processing requirements Leveraging statistical approaches of quantitative and qualitative analysis Applying computational analysis methods, including machine learning

Thomas Kailath, Ali H. Sayed, Babak Hassibi-Linear Estimation-Prentice Hall (2000)

Signals and Systems - 2nd Edition [Alan V Oppenheim Prentice Hall 1997] pdf document english version, relatively clear.

Multirate Systems And Filter Banks - P. Vaidyanathan (Prentice-Hall, 1993).pdf（后缀文件丢失，自行添加.pdf查看）

著名的 C++ 教科書。 適合初學者深入學習。 高清正版（非掃描檔）。 Author: Paul Deitel, Harvey Deitel Paperback: 1104 pages Publisher: Prentice Hall; 8 edition (March 25, 2011) Language: English ISBN-10: 0132662361 ISBN-13: 978-0132662369