As optical character recognition (OCR) begins to find applications ranging from store checkout scanners to money-changing machines and postal system automation, it has become one of the most dynamic areas in information science today. Yet few volumes explore this data-oriented process without relying heavily on mathematical background...

As the number of forensic science and forensic chemistry degree programs has increased over the last few years, Forensic Chemistry was the first book to specifically address this rapidly growing field. It introduces the principal areas of study from the perspective of analytical chemistry, addressing the legal context in which forensic...

The Monte Carlo method is a numerical method of solving mathematical problems through random sampling. As a universal numerical technique, the method became possible only with the advent of computers, and its application continues to expand with each new computer generation. A Primer for the Monte Carlo Method demonstrates how practical...

Embedded computer systems are electronic systems that include a microcomputer to perform specific dedicated tasks. The computer is hidden inside these products. Embedded systems are ubiquitous. Every week millions of tiny computer chips come pouring out of factories like Freescale, Microchip, Philips, Texas Instruments, Silicon Labs,...

This book is intended to serve the needs of individuals and information systems pro- fessionals who are interested in learning more about networking technologies, but who may have little or no background in this subject matter. In the first edition of this book, the materials were originally designed to help individuals prepare for Microsoft...

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...

John Bird's approach to mathematics, based on numerous worked examples supported by problems, is ideal for students of a wide range of abilities. Theory is kept to a minimum, with the emphasis firmly placed on problem-solving skills, making this a thoroughly practical introduction to the mathematics engineering students need to...

A variety of problems m machine learning and digital communication deal with complex but structured natural or artificial systems. Natural patterns mat we wish to automatically classify' are a consequence of a hierarchical causal physical process. Learning about the world m which we live requires mat we extract useful sensor)'...