Signals and Systems for Dummies

Informationen zum Autor 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. Klappentext 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 Zusammenfassung 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. Inhaltsverzeichnis Introduction 1 About This Book 1 Conventions Used in This Book 1 What You're Not to Read 2 Foolish Assumptions 2 How This Book Is Organized 2 Part I: Getting Started with Signals and Systems 3 Part II: Exploring the Time Domain 3 Part III: Picking Up the Frequency Domain 3 Part IV: Entering the s- and z-Domains 3 Part V: The Part of Tens 4 Icons Used in This Book 4 Where to Go from Here 4 Part I: Getting Started with Signals and Systems 7 Chapter 1: Introducing Signals and Systems 9 Applying Mathematics 10 Getting Mixed Signals and Systems 11 Going on and on and on 11 Working in spurts: Discrete-time signals and systems 13 Classifying Signals 14 Periodic 14 Aperiodic 15 Random 15 Signals and Systems in Other Domains 16 Viewing signals in the frequency domain 16 Traveling to the s- or z-domain and back 18 Testing Product Concepts with Behavioral Level Modeling 18 Staying abstract to generate ideas 19 Working from the top down 19 Relying on mathematics 20 Exploring Familiar Signals and Systems 20 MP3 music player 21 Smartphone 22 Automobile cruise control 22 Using Computer Tools for Modeling and Simulation 23 Getting the software 24 Exploring the interfaces 25 Seeing the Big Picture 26 Chapter 2: Brushin...

Inhaltsverzeichnis

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

Produktdetails

• Autoren: M Wickert, Mark Wickert, Wickert Mark
• Verlag: Wiley, John and Sons Ltd
• Sprache: Englisch
• Produktform: Taschenbuch
• Erschienen: 21.06.2013
• EAN: 9781118475812
• ISBN: 978-1-118-47581-2
• Seiten: 384
• Serien: For Dummies; For Dummies
• Themen: Naturwissenschaften, Medizin, Informatik, Technik > Technik > Allgemeines, Lexika; Sachbuch > Natur, Technik; Technik, Allg. Technik, General Engineering