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Signals and Systems For Dummies
Cover of Signals and Systems For Dummies
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Signals and Systems For Dummies
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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.
    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.
    Available formats-
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    • EPUB eBook
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    • Library copies:
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    About the Author-

    • 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.

    Table of Contents-

    • 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: Brushing Up on Math 29

      Revealing Unknowns with Algebra 29

      Solving for two variables 30

      Checking solutions with computer tools 30

      Exploring partial fraction expansion 31

      Making Nice Signal Models with Trig Functions 35

      Manipulating Numbers: Essential Complex Arithmetic 36

      Believing in imaginary numbers 37

      Operating with the basics 39

      Applying Euler's identities 41

      Applying the phasor addition formula 42

      Catching Up with Calculus 44

      Differentiation 44

      Integration 45

      System performance 47

      Geometric series 48

      Finding Polynomial Roots 50

      Chapter 3: Continuous-Time Signals and Systems 51

      Considering Signal Types 52

      Exponential and sinusoidal signals 52

      Singularity and other special signal types 55

      Getting Hip to Signal Classifications 60

      Deterministic and random 60

      Periodic and aperiodic 62

      Considering power and energy 63

      Even and odd signals 68

      Transforming Simple Signals 69

      Time shifting 69

      Flipping the time axis 70

      Putting it together: Shift and flip 70

      Superimposing signals 71

      Checking Out System Properties 72

      Linear and nonlinear 73

      Time-invariant and time varying 73

      Causal and non-causal 74

      Memory and memoryless 74

      Bounded-input bounded-output 75

      Choosing Linear and Time-Invariant Systems 75

      Chapter 4: Discrete-Time Signals and Systems 77

      Exploring Signal Types 77

      Exponential and sinusoidal signals 78

      Special signals 80

      Surveying Signal Classifications in the Discrete-Time World 83

      Deterministic and random signals 84

      Periodic and aperiodic 85

      Recognizing energy and power signals 88

      Computer Processing: Capturing Real Signals in Discrete-Time 89

      Capturing and reading a wav file 90

      Finding the signal energy 91

      Classifying Systems in Discrete-Time 92

      Checking linearity 92

      Investigating time invariance 93

      Looking into causality 93

      Figuring out memory 94

      Testing for BIBO stability 95

      Part II: Exploring the Time...

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