This is the second edition of a textbook that is intended for a senior or graduate-level
course in an electrical engineering (EE) curriculum on the subject of the analysis of
multiconductor transmission lines (MTLs). It will also serve as a useful reference
for industry professionals.
This book stems from its ancestor Digital Transmission Theory,published by
Prentice-Hall in 1987 and now out of print. Following the suggestion of several colleagues who complained about the unavailability of a textbook they liked and adopted in their courses, laying a strong emphasis on wireless communication. We hope that those who liked the previous book will find again its flavor here,while new reader, untouched by nostalgia, will judge it favorably.
Cognitive radios have become a vital solution that allows sharing of the scarce
frequency spectrum available for wireless systems. It has been demonstrated
that it can be used for future wireless systems as well as integrated into 4G/5G
wireless systems. Although there is a great amount of literature in the design of
cognitive radios from a system and networking point of view, there has been very
limited available literature detailing the circuit implementation of such systems.
Our textbook, Radio Frequency Integrated Circuit Design for Cognitive Radios, is
the first book to fill a disconnect in the literature between Cognitive Radio systems
and a detailed account of the circuit implementation and architectures required to
implement such systems. In addition, this book describes several novel concepts
that advance state-of-the-art cognitive radio systems.
Digital radios have undergone an astonishing evolution in the last century. Born as a set of simple and
power-hungry electrical and electromechanical devices for low data rate transmission of telegraph data
in the Marconi age, they have transformed, thanks to substantial advances in electronic technology,
into a set of small, reliable and sophisticated integrated devices supporting broadband multimedia
communications. This, however, would not have been possible unless significant progress had been
made in recent decades in the field of signal processing algorithms for baseband and passband signals.
In fact, the core of any modern digital radio consists of a set of algorithms running over programmable
electronic hardware. This book stems from the research and teaching activities of its co-authors in
the field of algorithmic techniques for wireless communications. A huge body of technical literature
has accumulated in the last four decades in this area, and an extensive coverage of all its important
aspects in a single textbook is impossible. For this reason, we have selected a few important topics
and, for ease of reading, organized them into two parts.
The author of this textbook intends to consider all stages of the life cycle of the
energy resources: extraction of mineral energy resources and mastering for power
engineering renewable energy, transportation of mineral energy raw materials to the
place of consumption, the conversion of primary energy sources into electrical
and/or thermal energy, transportation and distribution among the customers, and
energy storage (if necessary).
The purpose of this book is to help anyone involved in small-scale geophys-
ical surveys. It is not a textbook in the traditional sense, in that it is designed
for use in the field and concerns itself with practical matters – with the-
ory taking second place. Where theory determines field practice, it is stated,
not developed or justified. For example, no attempt is made to explain why
four-electrode resistivity works where two-electrode surveys do not.
This book is an outgrowth of a course developed at Stanford University over
the past five years. It is suitable as a self-contained textbook for second-level
undergraduates or for first-level graduate students in almost every field that
employs quantitative methods. As prerequisites, it is assumed that the student
may have had a first course in differential equations and a first course in linear
algebra or matrix analysis. These two subjects, however, are reviewed in
Chapters 2 and 3, insofar as they are required for later developments.
The goal of this textbook is to support the teaching of digital and statistical signal
processing in higher education. Particular attention is paid to the presentation of the fun-
damental theory; key topics are outlined in a comprehensible way, and all areas of the
subject are discussed in a fashion that aims at simplification without sacrificing accuracy.
This book is a general introduction to machine learning that can serve as a reference
book for researchers and a textbook for students. It covers fundamental modern
topics in machine learning while providing the theoretical basis and conceptual tools
needed for the discussion and justification of algorithms. It also describes several
key aspects of the application of these algorithms.
This book addresses programmer attitudes, but it’s not some kind of psychology
textbook. We’ll investigate many topics, including:
Source code presentation
Defensive coding techniques
How to debug programs effectively
Good teamworking skills
Managing your source code
Take a quick glance through the table of contents to see exactly what’s
covered. What is the rationale behind my selection of topics? I’ve been mentor-
ing trainee programmers for many years, and these are the topics that have
come up time and time again. I’ve also worked in the software factory for
long enough to have seen the recurring problems—I address these too.
If you can conquer all of these programming demons, you’ll progress
from an apprentice coder to a real code craftsman.
