Signals and Systems For Dummies
1. Edition June 2013
384 Pages, Softcover
Wiley & Sons Ltd
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.
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
