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The Essential Guide to Digital Signal Processing

Book Description

The Complete DSP Guide for Businesspeople and Nontechnical Professionals

  • How signal processing works: clear, simple explanations in plain English

  • Breakthrough DSP applications: from smartphones to healthcare and beyond

  • Covers both digital and analog signals

  • An indispensable resource for tech writers, marketers, managers, and other nonengineers

  • Digital signal processing (DSP) technology is everywhere–each time you use a smartphone, tablet, or computer; play an MP3; watch a digital TV or DVD; get GPS directions; play a video game; take a digital photo; or even have an MRI, DSP technology is at work.

    Now, for the first time, The Essential Guide to Digital Signal Processing offers readers of all levels simple, plain-English explanations of digital and analog signals and modern DSP applications. Whether you sell technology, write about it, manage it, fix it, or invest in it, this is the book for you.

    Using everyday examples and simple diagrams, two leading DSP consultants and instructors completely demystify signal processing. You’ll discover what digital signals are, how they’re generated, and how they’re changing your life.

    You’ll learn all you need to know about digital signal collection, filtering, analysis, and more, and how DSP works in today’s most exciting devices and applications.

    Coverage includes

  • How engineers understand and work with analog signal spectra and frequencies

  • How digital signals are generated and used in modern electronic devices

  • The surprising things that happen when analog signals are converted to digital form

  • How (and why) engineers compute digital signal spectra with Fourier transforms

  • What wavelets are and how they’re used everywhere, from medicine to the camera in your smartphone

  • How digital filters are used in DSP applications

  • Cutting-edge DSP applications, from automatic music-tuning software to medical EKG signal analysis

  • A comprehensive glossary of signal processing terminology and acronyms

  • You’ll gain a clear, conceptual understanding of all key signal processing operations and vocabulary. That means you’ll understand much of the “magic” built into today’s newest devices, and you’ll be ready to succeed in virtually any nontechnical role that requires DSP knowledge.

    Table of Contents

    1. About This eBook
    2. Title Page
    3. Copyright Page
    4. Contents
    5. Preface
    6. 1. What Is Digital Signal Processing?
      1. The Phantom Technology
      2. What Is a Signal?
      3. Analog and Digital Signals?
      4. Digital Signal Processing
      5. What You Should Remember
    7. 2. Analog Signals
      1. What Is an Analog Signal?
      2. A Temperature Analog Signal
      3. An Audio Analog Signal
      4. An Electrical Analog Signal
      5. A Human Speech Analog Signal
      6. What You Should Remember
    8. 3. Frequency and the Spectra of Analog Signals
      1. Frequency
      2. The Concept of Spectrum
      3. Analog Signal Spectra
      4. What You Should Remember
    9. 4. Digital Signals and How They Are Generated
      1. What Is a Digital Signal?
      2. How Digital Signals Are Generated
      3. A Speech Digital Signal
      4. An Example of Digital Signal Processing
      5. Another Example of Digital Signal Processing
      6. Two Important Aspects of Sampling Analog Signals
      7. Sample Rate Conversion
      8. What You Should Remember
    10. 5. Sampling and the Spectra of Digital Signals
      1. Analog Signal Spectra—A Quick Review
      2. How Sampling Affects the Spectra of Digital Signals
      3. The Spectrum of a Digital Sine Wave Signal
      4. The Spectrum of a Digital Voice Signal
      5. The Spectrum of a Digital Music Signal
      6. Anti-Aliasing Filters
      7. Analog-to-Digital Converter Output Numbers
      8. What You Should Remember
    11. 6. How We Compute Digital Signal Spectra
      1. Computing Digital Spectra
      2. A Spectral Computation Example
      3. A Spectral Analysis Example
      4. What You Should Remember
    12. 7. Wavelets
      1. The Fast Fourier Transform (FFT)—A Quick Review
      2. The Continuous Wavelet Transform (CWT)
      3. What You Should Remember
    13. 8. Digital Filters
      1. Analog Filtering
      2. Generic Filter Types
      3. Digital Filtering
      4. What You Should Remember
    14. 9. Binary Numbers
      1. Number Systems
      2. Binary Data
      3. Why Use Binary Numbers?
      4. Binary Numbers and Analog-to-Digital Converters
      5. What You Should Remember
    15. A. Scientific Notation
    16. B. Decibels
      1. Decibels Used to Describe Sound Power Values
      2. Decibels Used to Measure Earthquakes
      3. Decibels Used to Describe Signal Amplitudes
      4. Decibels Used to Describe Filters
    17. C. AM and FM Radio Signals
      1. AM Radio Signals
      2. FM Radio Signals
      3. Comparing AM and FM Radio
    18. D. Binary Number Formats
      1. Unsigned Binary Number Format
      2. Sign-Magnitude Binary Number Format
      3. Two’s Complement Binary Number Format
      4. Offset Binary Number Format
      5. Alternate Binary Number Notation
    19. Glossary
    20. Index