Signals and Systems For Dummies

ISBN-13: 9781118475812 / Angielski / Miękka / 2013 / 384 str.

Mark Wickert

Opis

Getting mixed signals in your signals and systems course? The concepts covered in a typical signals and systems course are often considered by engineering students to be some of the most difficult to master. Thankfully, Signals & Systems For Dummies is your intuitive guide to this tricky course, walking you step-by-step through some of the more complex theories and mathematical formulas in a way that is easy to understand. From Laplace Transforms to Fourier Analyses, Signals & Systems For Dummies explains in plain English the difficult concepts that can trip you up. Perfect as a study aid or to complement your classroom texts, this friendly, hands-on guide makes it easy to figure out the fundamentals of signal and system analysis.

• Serves as a useful tool for electrical and computer engineering students looking to grasp signal and system analysis
• Provides helpful explanations of complex concepts and techniques related to signals and systems
• Includes worked-through examples of real-world applications using Python, an open-source software tool, as well as a custom function module written for the book
• Brings you up-to-speed on the concepts and formulas you need to know

Signals & Systems For Dummies is your ticket to scoring high in your introductory signals and systems course.

Spis treści

Introduction 1

Part I: Getting Started with Signals and Systems 7

Chapter 1: Introducing Signals and Systems 9

Chapter 2: Brushing Up on Math 29

Chapter 3: Continuous–Time Signals and Systems 51

Chapter 4: Discrete–Time Signals and Systems 77

Part II: Exploring the Time Domain 97

Chapter 5: Continuous–Time LTI Systems and the Convolution Integral 99

Chapter 6: Discrete–Time LTI Systems and the Convolution Sum 119

Chapter 7: LTI System Differential and Difference Equations in the Time Domain 149

Part III: Picking Up the Frequency Domain 163

Chapter 8: Line Spectra and Fourier Series of Periodic Continuous–Time Signals 165

Chapter 9: The Fourier Transform for Continuous–Time Signals and Systems 191

Chapter 10: Sampling Theory 219

Chapter 11: The Discrete–Time Fourier Transform for Discrete–Time Signals 241

Chapter 12: The Discrete Fourier Transform and Fast Fourier Transform Algorithms 263

Part IV: Entering the s– and z–Domains 283

Chapter 13: The Laplace Transform for Continuous–Time 285

Chapter 14: The z–Transform for Discrete–Time Signals 307

Chapter 15: Putting It All Together: Analysis and Modeling Across Domains 327

Part V: The Part of Tens 343

Chapter 16: More Than Ten Common Mistakes to Avoid When Solving Problems 345

Chapter 17: Ten Properties You Never Want to Forget 351

Index 355

O autorze

Mark Wickert, PhD, is a Professor of Electrical and Computer Engineering at the University of Colorado, Colorado Springs. He is a member of the IEEE and is doing real signals and systems problem solving as a consultant with local industry.

Blurb

Learn to:

• Grasp the core concepts of signals and systems for success in the classroom
• Apply complex concepts such as discrete–time and continuous time signals, signal processing, and control systems
• Solve problems and work through real–life examples

Getting mixed signals about signals and systems?

The concepts covered in a typical signals and systems course are often considered by engineering students to be some of the most difficult to master. Thankfully, Signals & Systems For Dummies is your intuitive guide to this tricky material, walking you step–by–step through some of the more complex theories and mathematical formulas in a way that′s easy to understand.

• Signals and systems 101 — understand the language of signals and systems, and get an overview of the basic concepts and techniques necessary for tackling this course
• The time domain — get a plain–English intro to differential and difference equation system models, which are used to represent electronic circuits, the audio equalizer on your MP3 music player, and more
• Between worlds — drill down on the frequency domain and the world of system design, and bridge the gap between the continuous– and discrete–time worlds
• Know your domain — understand the s– and z–domains — a third domain system that engineers use to view the world — and understand why poles and zeros rule here
• Open source tools — solve example problems with Python using PyLab, along with a custom function module written for the book

Open the book and find:

• Continuous–time signals and systems
• How to establish a general input/output relationship
• Difference equations in the time domain
• Worked through examples of real–world signals and systems applications
• The Fourier transform for continuous–time signals
• The scoop on sampling theory
• The discrete Fourier transform and FFT algorithms
• The Laplace transform for continuous–time signals