Bøger af Shlomo Engelberg

In this book, Shlomo Engelberg presents a comprehensive guide to designing and programming with the Analog Devices, Inc. ADuC841 microcontroller and other microcontrollers in the 8051 family. It begins with an introduction to microcontrollers from the 8051 family, proceeds to a set of introductory labs that detail how to use the most standard features of such microcontrollers, and includes a set of more advanced labs, many of which make use of features available only on the ADuC841 microcontroller. The more advanced labs include several projects that introduce you to analog-to-digital converters, digital-to-analog converters, and their uses. Other projects demonstrate some of the many ways you can use a microcontroller to solve practical problems. The Keil μVision4 integrated development environment (IDE) is introduced early on, and it is used throughout the book. This book is perfect for a university classroom setting or for self study. After completing the labs, you will have experienced the joys of microcontroller programming, you will know how to use microcontrollers from the 8051 family, and you will have gained experience using an industry-standard development environment and the tools it provides.

The 3rd edition strikes a nice balance between mathematical rigor and engineering oriented applications, helping students to understand the mathematical and engineering aspects of control theory.The book makes effective use of the tools provided by MATLAB® (and includes material about using the tools provided by the Python® programming language) in the design and analysis of control systems without allowing the computer-based tools to substitute for knowledge of control theory. The examples in the text are carefully designed to develop the student's intuition - in both mathematics and engineering.With over 90 solved homework problems and about 200 figures, this invaluable title will benefit junior and senior level university students in engineering.

Understanding the nature of random signals and noise is important for detecting signals and for reducing and minimizing the effects of noise in applications such as communications and control systems. Outlining a variety of techniques and explaining when and how to use them, this book focuses on applications and practical problem solving.

A mathematically rigorous but accessible treatment of digital signal processing that intertwines basic theoretical techniques with hands-on laboratory instruction is provided by this book. Problems are provided at the end of each chapter.