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Signals & systems for dummies /
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,...
| Clasificación: | Libro Electrónico |
|---|---|
| Autor principal: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Hoboken, NJ :
Wiley,
©2013.
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| Colección: | --For dummies.
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| Temas: | |
| Acceso en línea: | Texto completo (Requiere registro previo con correo institucional) |
Tabla de Contenidos:
- About the Author; Contents at a Glance; Table of Contents; Introduction; About This Book; Conventions Used in This Book; What You're Not to Read; Foolish Assumptions; How This Book Is Organized; Icons Used in This Book; Where to Go from Here; Part I: Getting Started with Signals and Systems; Chapter 1: Introducing Signals and Systems; Applying Mathematics; Getting Mixed Signals ... and Systems; Classifying Signals; Signals and Systems in Other Domains; Testing Product Concepts with Behavioral Level Modeling; Exploring Familiar Signals and Systems.
- Using Computer Tools for Modeling and SimulationSeeing the Big Picture; Chapter 2: Brushing Up on Math; Revealing Unknowns with Algebra; Making Nice Signal Models with Trig Functions; Manipulating Numbers: Essential Complex Arithmetic; Catching Up with Calculus; Finding Polynomial Roots; Chapter 3: Continuous-Time Signals and Systems; Considering Signal Types; Getting Hip to Signal Classifications; Transforming Simple Signals; Checking Out System Properties; Choosing Linear and Time-Invariant Systems; Chapter 4: Discrete-Time Signals and Systems; Exploring Signal Types.
- Surveying Signal Classifications in the Discrete-Time WorldComputer Processing: Capturing Real Signals in Discrete-Time; Classifying Systems in Discrete-Time; Part II: Exploring the Time Domain; Chapter 5: Continuous-Time LTI Systems and the Convolution Integral; Establishing a General Input/Output Relationship; Working with the Convolution Integral; Stepping Out and More; Chapter 6: Discrete-Time LTI Systems and the Convolution Sum; Specializing the Input/Output Relationship; Simplifying with Convolution Sum Properties and Techniques; Working with the Convolution Sum.
- Chapter 7: LTI System Differential and Difference Equations in the Time DomainGetting Differential; Checking out the Difference Equations; Part III: Picking Up the Frequency Domain; Chapter 8: Line Spectra and Fourier Series of Periodic Continuous-Time Signals; Sinusoids in the Frequency Domain; General Periodic Signals: The Fourier Series Representation; Chapter 9: The Fourier Transform for Continuous-Time Signals and Systems; Tapping into the Frequency Domain for Aperiodic Energy Signals; Getting Around the Rules with Fourier Transforms in the Limit; LTI Systems in the Frequency Domain.
- Chapter 10: Sampling TheorySeeing the Need for Sampling Theory; Periodic Sampling of a Signal: The ADC; Analyzing the Impact of Quantization Errors in the ADC; Analyzing Signals in the Frequency Domain; Applying the Low-Pass Sampling Theorem; Reconstructing a Bandlimited Signal from Its Samples: The DAC; Chapter 11: The Discrete-Time Fourier Transform for Discrete-Time Signals; Getting to Know DTFT; Working with Special Signals; LTI Systems in the Frequency Domain; Taking Advantage of the Convolution Theorem; Chapter 12: The Discrete Fourier Transform and Fast Fourier Transform Algorithms.