Proximity technology―in...

"For beginners and professionals in search of answers." -- Stephen Joel Trachtenberg, President Emeritus and University Professor of Public...

This groundbreaking book is the first to give an introduction to microwave de-embedding, showing how it is the cornerstone for waveform engineering. The authors of each chapter clearly explain the theoretical concepts, providing a foundation that supports linear and non-linear measurements, modelling and circuit design. Recent developments...

Excel Data Analysis For Dummies, 2^nd Edition is the ultimate guide to getting the most out of your data. Veteran Dummies author Stephen L. Nelson guides you through the basic and not-so-basic features of Excel to help you discover...

Stephen Mulhall presents a series of multiply interrelated essays which together make up an original study of selfhood (subjectivity or personal identity). He explores a variety of articulations (in philosophy, psychoanalysis, and the arts) of the idea that selfhood is best conceived as a matter of non-self-identity--for example, as becoming...

"The great rewards of investing in the best small-cap companies are matched only by the risks of investing in the worst. Ian Wyatt is one of the few who not only shows you how to find the hidden gems, but also how to avoid the flea-ridden dogs. His new book is a must-read for all...

The Digital Da Vinci book series opens with the interviews of music mogul Quincy Jones, MP3 inventor Karlheinz Brandenburg, Tommy Boy founder Tom Silverman and entertainment attorney Jay L. Cooper. A strong supporter of science, technology, engineering and mathematics programs in schools, The Black Eyed Peas founding member will.i.am...

Brassington and Pettitt's Essentials of Marketing is the indispensable introduction to the subject for all students taking a short or one-semester Marketing module whatever their background. The second edition retains the lively writing style and authority of the authors' Principles of Marketing, and highlights the links between...

Neural Networks for Pattern Recognition takes the pioneering work in artificial neural networks by Stephen Grossberg and his colleagues to a new level. In a simple and accessible way it extends embedding field theory into areas of machine intelligence that have not been clearly dealt with before. Following a tutorial of existing neural...