Amazon cover image
Image from Amazon.com

Design of Low Power and Low Area Passive Sigma Delta Modulators for Audio Applications [electronic resource] / by David Fouto, Nuno Paulino.

By: Contributor(s): Material type: TextSeries: SpringerBriefs in Electrical and Computer EngineeringPublisher: Cham : Springer International Publishing : Imprint: Springer, 2017Description: IX, 78 p. 70 illus., 38 illus. in color. online resourceContent type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9783319570334
Subject(s): Additional physical formats: Printed edition:: No titleDDC classification:
  • 621.3815 23
Online resources:
Contents:
Introduction -- Sigma-Delta Modulation -- Architecture and High Level Model -- Electrical Circuits and Simulation Results -- Conclusions -- References.
In: Springer eBooksSummary: This book presents the study, design, modulation, optimization and implementation of low power, passive DT-ΣΔMs for use in audio applications. The high gain and bandwidth amplifier normally used for integration in ΣΔ modulation, is replaced by passive, switched-capacitor branches working under the Ultra Incomplete Settling (UIS) condition, leading to a reduction of the consumed power. The authors describe a design process that uses high level models and an optimization process based in genetic algorithms to achieve the desired performance.
No physical items for this record

Introduction -- Sigma-Delta Modulation -- Architecture and High Level Model -- Electrical Circuits and Simulation Results -- Conclusions -- References.

This book presents the study, design, modulation, optimization and implementation of low power, passive DT-ΣΔMs for use in audio applications. The high gain and bandwidth amplifier normally used for integration in ΣΔ modulation, is replaced by passive, switched-capacitor branches working under the Ultra Incomplete Settling (UIS) condition, leading to a reduction of the consumed power. The authors describe a design process that uses high level models and an optimization process based in genetic algorithms to achieve the desired performance.