Shlomo Engelberg - Böcker

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 FoundationBefore 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 ProblemsAlong 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.

A GUIDE TO THE FUNDAMENTAL THEORY AND PRACTICE OF OPTICAL COMMUNICATIONFiber Optic and Atmospheric Optical Communication offers a much needed guide to characterizing and overcoming the drawbacks associated with optical communication links that suffer from various types of fading when optical signals with information traverse these wireless (atmospheric) or wired (fiber optic) channels.The authors—noted experts on the topic—present material that aids in predicting the capacity, data rate, spectral efficiency, and bit-error-rate associated with a channel that experiences fading. They review modulation techniques and methods of coding and decoding that are useful when implementing communications systems. The book also discusses how to model the channels, including treating distortion due to the various fading phenomena. Light waves and their similarity to radio waves are explored, and the way light propagates through the atmosphere, through materials, and through the boundary between two materials is explained. This important book: Characterizes principal optical sources and detectors, including descriptions of their advantages and disadvantages, to show how to design systems from start to finishProvides a new method of predicting and dealing with the dispersive properties of fiber optic cables and other optical guiding structures in order to increase data stream capacityHighlights effects of material and multimode (multi-ray) dispersion during propagation of optical signals with data through fiber optic channelsPresents modulation techniques and methods of coding and decoding that are useful when implementing communications systems Written for professionals dealing with optical and electro-optical communications, Fiber Optic and Atmospheric Optical Communication explores the theory and practice of optical communication both when the optical signal is propagating through the atmosphere and when it is propagating through an optical fiber.

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.