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Oversampling A/D Converters with Improved Signal Transfer Functions: Analog Circuits and Signal Processing

Autor Bupesh Pandita
en Limba Engleză Hardback – 30 aug 2011
This book describes techniques for designing complex, discrete-time ΔΣ ADCs with signal-transfer functions that significantly filter interfering signals. The book provides an understanding of theory, issues, and implementation of discrete complex ΔΣ ADCs. The concepts developed in each chapter are further explained by applying them to a target application of ΔΣ ADCs in DTV receivers.
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Specificații

ISBN-13: 9781461402749
ISBN-10: 1461402743
Pagini: 208
Ilustrații: XX, 188 p.
Dimensiuni: 155 x 235 x 17 mm
Greutate: 0.47 kg
Ediția:2011
Editura: Springer
Colecția Springer
Seria Analog Circuits and Signal Processing

Locul publicării:New York, NY, United States

Public țintă

Research

Cuprins

Introduction.- A Low-IF Complex ΔΣ ADC-based DTV Receiver.- A Complex ΔΣ Modulator with an Improved STF.- Architectural-Level Design of the Experimental ΔΣ Modulator.- Integrated Circuit Implementation.- Conclusions.- Appendix A: Modulator Design Example.

Textul de pe ultima copertă

This book describes techniques for designing complex, discrete-time ΔΣ ADCs with signal-transfer functions that significantly filter interfering signals. The book provides an understanding of theory, issues, and implementation of discrete complex ΔΣ ADCs. The concepts developed in each chapter are further explained by applying them to a target application of ΔΣ ADCs in DTV receivers.
  • Focuses on complex ΔΣ ADCs and techniques for their implementation;
  • Describes techniques to alleviate problems in implementation, such as image rejection deterioration due to mismatches; 
  •  Discusses advantages of filtering STFs and describes an architecture for their implementation;
  • Includes Matlab, Simulink, and Mathematica code used in design and behavioral simulations for design and implementation of complex ΔΣ ADCs.
 
 
 

 


Caracteristici

Focuses on complex ?S ADCs and techniques for their implementation Describes techniques to alleviate problems in implementation, such as image rejection deterioration due to mismatches Discusses advantages of filtering STFs and describes an architecture for their implementation Includes Matlab, Simulink, and Mathematica code used in design and behavioral simulations for design and implementation of complex ?S ADCs Includes supplementary material: sn.pub/extras