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Introduction to Communication Systems
An accessible undergraduate textbook introducing key fundamental principles behind modern communication systems, supported by exercises, software problems and lab exercises.
Fundamentals of Digital Communication
This is a concise presentation of the concepts underlying the design of digital communication systems, without the detail that can overwhelm students. Many examples, from the basic to the cutting-edge, show how the theory is used in the design of modern systems and the relevance of this theory will motivate students. The theory is supported by practical algorithms so that the student can perform computations and simulations. Leading edge topics in coding and wireless communication make this an ideal text for students taking just one course on the subject. Fundamentals of Digital Communications has coverage of turbo and LDPC codes in sufficient detail and clarity to enable hands-on implementation and performance evaluation, as well as 'just enough' information theory to enable computation of performance benchmarks to compare them against. Other unique features include space-time communication and geometric insights into noncoherent communication and equalization.
Probability: A Lively Introduction
Comprehensive, yet concise, this textbook is the go-to guide to learn why probability is so important and its applications.
Statistics
Serves as a bridge between elementary and specialized statistics, with exercises that are fully solved and systematically built up.
Principles of Digital Communication
A comprehensive text that takes a unique top-down approach to teaching the fundamentals of digital communication for a one-semester course.
Principles of Digital Communication
The renowned communications theorist Robert Gallager brings his lucid writing style to the study of the fundamental system aspects of digital communication for a one-semester course for graduate students. With the clarity and insight that have characterized his teaching and earlier textbooks, he develops a simple framework and then combines this with careful proofs to help the reader understand modern systems and simplified models in an intuitive yet precise way. A strong narrative and links between theory and practice reinforce this concise, practical presentation. The book begins with data compression for arbitrary sources. Gallager then describes how to modulate the resulting binary data for transmission over wires, cables, optical fibers, and wireless channels. Analysis and intuitive interpretations are developed for channel noise models, followed by coverage of the principles of detection, coding, and decoding. The various concepts covered are brought together in a description of wireless communication, using CDMA as a case study.
Digital Signal Processing: A Practical Guide for Engineers and Scientists
In addition to its thorough coverage of DSP design and programming techniques, Smith also covers the operation and usage of DSP chips. He uses Analog Devices' popular DSP chip family as design examples. - Covers all major DSP topics - Full of insider information and shortcuts - Basic techniques and algorithms explained without complex numbers
Space-Time Wireless Systems
This is a comprehensive reference for readers wanting to learn about the entire range of relevant aspects in wireless communications.
Machine Learning for Future Wireless Communications
A comprehensive review to the theory, application and research of machine learning for future wireless communications In one single volume, Machine Learning for Future Wireless Communications provides a comprehensive and highly accessible treatment to the theory, applications and current research developments to the technology aspects related to machine learning for wireless communications and networks. The technology development of machine learning for wireless communications has grown explosively and is one of the biggest trends in related academic, research and industry communities. Deep neural networks-based machine learning technology is a promising tool to attack the big challenge in w...
Information Hiding
th It is our great pleasure to present this volume of the proceedings of the 10 edition of Information Hiding (IH 2008). The conference was held in Santa Barbara - the Ame- can Riviera, California, USA, during May 19–21, 2008. It was organized by three Santa Barbarans on fire, from both industry (Mayachitra) and academia (UCSB). Over the years, Information Hiding (IH) has established itself as a premier forum for presenting research covering various aspects of information hiding. Continuing the tradition, this year, we provide a balanced program including topics such as anonymity and privacy, forensics, steganography, watermarking, fingerprinting, other hiding domains, and novel applicatio...
