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Signals and Systems For Dummies

Mark Wickert

ISBN: 978-1-118-47581-2 June 2013 384 Pages


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.

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