These Lecture Notes are based on a series of lectures I gave at the Linkoping University
Department of Electrical Engineering in 1988. In these lectures 1 tried to give an overview
of the theory of representation of compact groups and some applications in the fields of
image science and pattern recognition.
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Understanding Digital Signal Processing, Third Edition, is quite simply the best resource for engineers and other technical professionals who want to master and apply today’s latest DSP...
The ultimate goal of computers is to help humans to solve problems. The solutions
for such problems are typically programmed by experts, and the computers need
only to follow the specified steps to solve the problem. However, the solution of
some problems may be too difficult to be explicitly programmed. In such difficult
cases,...
This book is an introduction to modern ideas in cryptology and how to employ
these ideas. It includes the relevant material on number theory, probability, and
abstract algebra, in addition to descriptions of ideas about algorithms and com
plexity theory. Three somewhat different terms appear in the discussion of secure
communications...
This volume contains the proceedings of the 17th International Conference on
Tools and Algorithms for the Construction and Analysis of Systems (TACAS
2011). TACAS 2011 took place in Saarbr¨ucken, Germany, March 28–31, 2011,
as part of the 14th European Joint Conferences on Theory and Practice of Software
(ETAPS 2011), whose...
A constraint is a restriction on a space of possibilities; it is a piece of knowledge that
narrows the scope of this space. Because constraints arise naturally in most areas of
human endeavor, they are the most general means for formulating regularities that
govern our computational, physical, biological, and social worlds. Some...
This book is about solving partial differential equations (PDEs) . Such equations
are used to model a wide range of phenomena in virtually all fields of science
and technology. In the last decade, the general availability of extremely
powerful computers has shifted the focus in computational mathematics from
simplified model problems...
This book is a textbook in basic category theory, written specifically to be read by researchers and students in computing science. We expound the constructions we feel are basic to category theory in the context of examples and applications to computing science. Some categorical ideas and constructions are already used heavily in computing...
This monograph presents a framework for modelling, specifying and verifying
systems composed of real-time discrete event processes. A discrete event system
consists of the plant (the object to be controlled) and a controller. For example,
the plant might consist of machines, robots and conveyors on the factory floor.
The objective of...
What do people learn when they do not know that they are learning? Until recently all of the work in the area of implicit learning focused on empirical questions and methods. In this book, Axel Cleeremans explores unintentional learning from an information-processing perspective. He introduces a theoretical framework that unifies existing...
From its inception in the 1930s, the rich and vigorous field of computer science
has been concerned with the resources, both in time and in memory, needed to
carry out a computation. A number of fundamental theorems were discovered
that resorted to a worst-case analysis. The central question was whether a given
algorithm could be...
Many people do not realise that mathematics provides the foundation for the
devices we use to handle information in the modern world. Most of those who
do know probably think that the parts of mathematics involved are quite ‘classical’,
such as Fourier analysis and differential equations. In fact, a great deal
of...
