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Digital signal processing : instant access / by James D. Broesch

By: Broesch, James DContributor(s): Stranneby, Dag | Walker, WilliamPublisher: Amsterdam : Newnes, 2009Description: 155 p. ill. [some col.]; 23 cm001: 13060ISBN: 9780750689762; 0750689765Subject(s): Signal processing | Digital video | Digital audioDDC classification: 621.3822 BRO
Holdings
Item type Current library Collection Call number Copy number Status Date due Barcode
Book MAIN LIBRARY Book PRINT 621.3822 BRO (Browse shelf(Opens below)) 1 Available 088790

Enhanced descriptions from Syndetics:

Digital signal processing is commonplace in most electronics including MP3 players, HDTVs, and phones, just to name a few of the applications. The engineers creating these devices are in need of essential information at a moment's notice. The Instant Access Series provides all the critical content that a signal or communications engineer needs in his or her daily work. This book provides an introduction to DSPs as well as succinct overviews of linear systems, digital filters, and digital compression. This book is filled with images, figures, tables, and easy to find tips and tricks for the engineer that needs material fast to complete projects to deadline.

Table of contents provided by Syndetics

  • 1 Why DSP? (p. 1)
  • DSP Definitions (p. 1)
  • The Need for DSP (p. 1)
  • Learning Digital Signal Processing Techniques (p. 4)
  • Instant Summary (p. 5)
  • 2 The Analog-Digital Interface (p. 7)
  • Definitions (p. 7)
  • Sampling and Reconstruction (p. 8)
  • Quantization (p. 9)
  • Encoding and Modulation (p. 10)
  • Number Representation (p. 12)
  • Digital-to-Analog Conversion (p. 14)
  • Analog-to-Digital Conversion (p. 18)
  • Successive Approximation ADCs (p. 20)
  • Instant Summary (p. 25)
  • 3 DSP System General Model (p. 27)
  • Definitions (p. 27)
  • The Big Picture (p. 27)
  • Signal Acquisition (p. 31)
  • More on Sampling Theory (p. 32)
  • Sampling Resolution (p. 34)
  • Instant Summary (p. 36)
  • 4 The Math of DSP (p. 37)
  • Definitions (p. 37)
  • Functions (p. 38)
  • Limits (p. 41)
  • Integration (p. 42)
  • Oscillatory Motion (p. 43)
  • Complex Numbers (p. 46)
  • Example Applications (p. 56)
  • Filters (p. 56)
  • Causality (p. 62)
  • Convolution (p. 64)
  • The Fourier Series (p. 66)
  • Orthogonality (p. 70)
  • Continuous Functions vs. Discrete Sequences (p. 72)
  • Orthogonality Continued (p. 74)
  • Quadrature (p. 75)
  • Instant Summary (p. 79)
  • 5 Transforms (p. 81)
  • Definitions (p. 81)
  • Background (p. 81)
  • The z-Transform and DFT (p. 84)
  • Application of the DFT (p. 88)
  • The Fourier Transform (p. 93)
  • Properties of the Fourier Transform (p. 95)
  • The Laplace Transform (p. 95)
  • Fast Fourier Transform (FFT) (p. 98)
  • Instant Summary (p. 99)
  • 6 Digital Filters (p. 101)
  • Definitions (p. 101)
  • FIR Filters (p. 101)
  • The IIR (p. 112)
  • Instant Summary (p. 122)
  • 7 Applications of DSP (p. 125)
  • Definitions (p. 125)
  • Measurements and Analysis (p. 126)
  • Telecommunications (p. 126)
  • Audio and Television (p. 127)
  • Household Appliances and Toys (p. 128)
  • Automotive (p. 128)
  • Nonlinear Applications (p. 128)
  • Instant Summary (p. 134)
  • 8 Digital Signal Processors (p. 135)
  • Definitions (p. 135)
  • System Considerations (p. 135)
  • Hardware Implementation (p. 137)
  • Digital Signal Processors versus Microprocessors (p. 141)
  • The Future (p. 146)
  • Instant Summary (p. 146)
  • Glossary (p. 147)
  • References (p. 149)
  • Index (p. 151)

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