Intuitive Probability and Random Processes using MATLAB® is an introduction to probability and random processes that merges theory with practice. Based on the author’s belief that only "hands-on" experience with the material can promote intuitive understanding, the approach is to motivate the need...
In the past two decades, CMOS technology has rapidly embraced the field of analog inte-
grated circuits, providing low-cost, high-performance solutions and rising to dominate the
market. While silicon bipolar and III-V devices still find niche applications, only CMOS
processes have emerged as a viable choice for the integration of...
The availability of increased computational power and the proliferation of the Internet
have facilitated the production and distribution of unauthorized copies of
multimedia information. As a result, the problem of copyright protection has attracted
the interest of the worldwide scientific and business communities. The most...
Based on fundamental principles from mathematics, linear systems, and signal analysis, digital signal processing (DSP) algorithms are useful for extracting information from signals collected all around us. Combined with today’s powerful computing capabilities, they can be used in a wide range of application areas, including...
Welcome to MCSA/MCSE Self−Paced Training Kit (Exam 70−291): Implementing, Managing, and Maintaining a Microsoft Windows Server 2003 Network Infrastructure, Second Edition. This book prepares you for the 70-291 exam by teaching you how to configure, manage, and troubleshoot various aspects of a Microsoft Windows Server 2003 Service...
This book sets up a discrete universe with minimum and maximum dimensions. Singularity is rejected.
Entropic Spacetime Theory divides the universe into a kinetic system and an entropic spacetime. The kinetic system is what our present physics is all about; it deals with radiation (vector bosons) and mass particles (fermions). Relativity...
An easily accessible, real-world approach to probability and stochastic processes
Introduction to Probability and Stochastic Processes with Applications presents a clear, easy-to-understand treatment of probability and stochastic processes, providing readers with a solid foundation they can build upon throughout their...
Distributed systems are fast becoming the norm in computer science. Formal mathematical models and theories of distributed behavior are needed in order to understand them. This book proposes a distributed pi-calculus called Dpi, for describing the behavior of mobile agents in a distributed world. It is based on an existing formal language, the...
I am very pleased to have this new book in the Aho/Ullman series Principles of Computer Science. I see this book as a major step toward making computer science theory accessible to the wide range of students who need to know the subject. It covers a good segment of the classical material on data structures and algorithms, but it does so in a...
While high-quality books and journals in this field continue to proliferate, none has yet come close to matching the Handbook of Discrete and Computational Geometry, which in its first edition, quickly became the definitive reference work in its field. But with the rapid growth of the discipline and the many advances made over the past seven...
A major thrust of computer science is the design, analysis, implementation, and scientific evaluation of algorithms to solve critical problems. In addition, new challenges are being offered to computer scientists in the field of computational science and engineering, which includes challenging problems in computational biology, computational fluid...
Randomization has become a standard approach in algorithm design. Efficiency
and simplicity are the main features of randomized algorithms that
often made randomization a miraculous springboard for solving complex problems
in various applications. Especially in the areas of communication, cryptography,
data management, and discrete...
