Synopses & Reviews
The fast and easy way to learn signals and systems
Get a working knowledge of signal processing and systems--even if you don't have formal training, unlimited time, or a genius IQ. Signals and Systems Demystified offers an effective, illuminating, and entertaining way to learn this essential electrical engineering subject.
First, you'll learn methods used to calculate energy and power in signals. Next, you'll study signals in the frequency domain using Fourier analysis. Other topics covered include amplitude, frequency, and phase modulation, spectral analysis, convolution, the Laplace transform, and the z-transform. Packed with hundreds of sample equations and explained solutions, and featuring end-of-chapter quizzes and a final exam, this book will teach you the fundamentals of signals and systems in no time at all.
Simple enough for a beginner, but challenging enough for an advanced student, Signals and Systems Demystified is your shortcut to mastering this complex subject.
This hands-on, self-teaching text offers:
- An easy way to understand signal processing and systems
- Hundreds of worked examples with solutions
- A quiz at the end of each chapter to reinforce learning and pinpoint weaknesses
- A final exam at the end of the book
- No unnecessary technical jargon
- A time-saving approach to performing better on an exam or at work!
The fast and easy way to learn signals and systemsThis easy-to-use guide will help students taking this difficult subject, as well as professionals who want to brush up on their knowledge. You will get straightforward information on signal processing, linear systems, and discrete systems. Advanced topics covered include Fourier analysis, filtering, spectral density, AM and FM systems, and the z-Transform.
About the Author
David McMahon is a Microsoft Certified Visual Basic developer. He writes object-oriented software and hardware drivers for Windows NT and 95/98 using Visual Basic and Visual C++. He is also a Microsoft Certification instructor for Visual Basic and Microsoft Access.
Table of Contents
Chapter 1: An Introduction to Signals Continuous and Discrete Signals; Energy and Power in Signals; Periodic Signals Computing Energy: Examples Even and Odd functions.
Chapter 2: Linear Time-Invariant SystemsMemoryless systems; Causal and non-causal systems; Linear Systems; Time-Invariance; Stability; Unit Impulse and Unit Step Functions; Impulse Response FunctionConvolution.
Chapter 3: Discrete Time Signals; Energy and power in discrete signals; The Unit Impulse and Unit Step sequences; Properties of Discrete Sequences; Convolution; Discrete Linear Time-Invariant Systems.
Chapter 4: Fourier Analysis; Fourier Series; Fourier Transform; Inverse Fourier Transform; Properties of Fourier Transform; Spectrum Plots.
Chapter 5: Filtering; What is a filter?; Time and frequency response; Ideal low pass filters; Band pass transmission; Distortion; Phase delay and group delay.
Chapter 6: Energy Spectral Density and Correlation; The correlation function; Autocorrelation; Energy spectral density; Power spectral density.
Chapter 7: The Discrete Fourier TransformDefinition; Examples; The Inverse Discrete Fourier Transform.
Chapter 8: Amplitude Modulation; Amplitude Modulation; Double side-band modulation; Suppressed-Carrier Modulation; Single-side band modulation; Vestigal sideband modulation.
Chapter 9: Phase and Frequency Modulation; Frequency modulation; Phase-Locked loop; FM Waves;
Chapter 10: The z-Transform; Common z-transforms; Properties of the z-transform; Inverse z-transform; The System Function.