Digital Signal Processing : An Experimental Approach

Digital Signal Processing is a mathematically rigorous but accessible treatment of digital signal processing that intertwines basic theoretical techniques with hands-on laboratory instruction. Divided into three parts, the book covers various aspects of the digital signal processing (DSP) "prob...

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Bibliografiske detaljer
Hovedforfatter: Engelberg, Shlomo
Format: Livre numérique
Sprog:Anglais
Udgivet: London : Springer London 2008.
Cham : Springer Nature
Serier:Signals and Communication Technology
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Edition sous un autre format:• Digital Signal Processing, an cxperimental approach, Shlomo Engelberg, London, Springer-Verlag London Limited, 2008, 1 vol. (XV-212 p.), Signals and Communication Technology, 978-1-84800-118-3
• Digital Signal Processing, Texte imprimé, 9781848007116
• Digital Signal Processing, Texte imprimé, 9781849967303
Indholdsfortegnelse:
  • The Analysis of Discrete-time Signals
  • Understanding Sampling
  • Signal Reconstruction
  • Time-limited Functions Are Not Band-limited
  • Fourier Analysis and the Discrete Fourier Transform
  • Windowing
  • Signal Generation with the Help of MATLAB
  • The Spectral Analysis of Random Signals
  • Analog to Digital and Digital to Analog Converters
  • The General Structure of Sampled-data Systems
  • The Operational Amplifier: An Overview
  • A Simple Digital to Analog Converter
  • The Binary Weighted DAC
  • The R-2R Ladder DAC
  • The Successive Approximation Analog to Digital Converter
  • The Single- and Dual-slope Analog to Digital Converters
  • The Pipelined A/D
  • Resistor-chain Converters
  • Sigma-Delta Converters
  • Digital Filters
  • Discrete-time Systems and the Z-transform
  • Filter Types
  • When to Use C (Rather than Assembly Language)
  • Two Simple FIR Filters
  • Very-narrow-band Filters
  • Design of IIR Digital Filters: The Old-fashioned Way
  • New Filters from Old
  • Implementing an IIR Digital Filter
  • IIR Filter Design Using MATLAB
  • Group Delay and Phase Delay in Filters
  • Design of FIR Filters
  • Implementing a Hilbert Filter
  • The Goertzel Algorithm.