Kirjahaku

Understanding the nature of random signals and noise is critically 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, Random Signals and Noise: A Mathematical Introduction focuses on applications and practical problem solving rather than probability theory. A Firm Foundation Before launching into the particulars of random signals and noise, the author outlines the elements of probability that are used throughout the book and includes an appendix on the relevant aspects of linear algebra. He offers a careful treatment of Lagrange multipliers and the Fourier transform, as well as the basics of stochastic processes, estimation, matched filtering, the Wiener-Khinchin theorem and its applications, the Schottky and Nyquist formulas, and physical sources of noise. Practical Tools for Modern Problems Along with these traditional topics, the book includes a chapter devoted to spread spectrum techniques. It also demonstrates the use of MATLAB® for solving complicated problems in a short amount of time while still building a sound knowledge of the underlying principles. A self-contained primer for solving real problems, Random Signals and Noise presents a complete set of tools and offers guidance on their effective application.

Striking a nice balance between mathematical rigor and engineering-oriented applications, this second edition covers the bedrock parts of classical control theory — the Routh-Hurwitz theorem and applications, Nyquist diagrams, Bode plots, root locus plots, and the design of controllers (phase-lag, phase-lead, lag-lead, and PID). It also covers three more advanced topics — non-linear control, modern control, and discrete-time control.This invaluable book makes effective use of MATLAB® as a tool in design and analysis. Containing 75 solved problems and 200 figures, this edition will be useful for junior and senior level university students in engineering who have a good knowledge of complex variables and linear algebra.

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.

A rigorous but accessible treatment of the subject intertwining theoretical techniques with hands-on laboratory instruction and divided into three parts, this book covers various aspects of the digital signal processing (DSP) "problem". It begins with analysis of discrete-time signals explaining sampling and the use of Fourier transforms. The second part of the book covering digital–analog and analog–digital conversion provides a practical interlude before Part III lays out the development of the z-transform and the pros and cons of finite and infinite impulse response filters. MATLAB® is employed to visualise the mathematics underlying this discipline, making clear its engineering relevance. The practical microprocessor-oriented parts of the book are introduced with special reference to the ADuC841, an lab manual for which is available. These labs can be transposed for other microprocessors. Problems are provided at the end of each chapter and an electronic solutions manual is available for tutors.

A rigorous but accessible treatment of the subject intertwining theoretical techniques with hands-on laboratory instruction and divided into three parts, this book covers various aspects of the digital signal processing (DSP) "problem". It begins with analysis of discrete-time signals explaining sampling and the use of Fourier transforms. The second part of the book covering digital–analog and analog–digital conversion provides a practical interlude before Part III lays out the development of the z-transform and the pros and cons of finite and infinite impulse response filters. MATLAB® is employed to visualise the mathematics underlying this discipline, making clear its engineering relevance. The practical microprocessor-oriented parts of the book are introduced with special reference to the ADuC841, an lab manual for which is available. These labs can be transposed for other microprocessors. Problems are provided at the end of each chapter and an electronic solutions manual is available for tutors.

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.

Striking a careful balance between mathematical rigor and engineering-oriented applications, this textbook aims to maximize the readers' understanding of both the mathematical and engineering aspects of control theory.The bedrock elements of classical control theory are comprehensively covered: the Routh-Hurwitz theorem and applications, Nyquist diagrams, Bode plots, root locus plots, the design of controllers (phase-lag, phase-lead, lag-lead, and PID), and three further advanced topics: non-linear control, modern control and discrete-time control.A Mathematical Introduction to Control Theory will be an invaluable book for junior and senior level university students in engineering, particularly electrical engineering. Students with a good knowledge of algebra and complex variables will also find many interesting applications in this volume.