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.
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.
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