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Design, Modeling and Testing of Data Converters

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Cover of 'Design, Modeling and Testing of Data Converters'

Table of Contents

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    Book Overview
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    Chapter 1 A Power-Optimized High-Speed and High-Resolution Pipeline ADC with a Parallel Sampling First Stage for Broadband Multi-Carrier Systems
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    Chapter 2 Design of Power, Dynamic Range, Bandwidth and Noise Scalable ADCs
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    Chapter 3 Current and Emerging Trends in the Design of Digital-to-Analog Converters
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    Chapter 4 Digitally-Based Calibration Techniques for RF $$ \Upsigma \Updelta $$ Σ Δ Modulators
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    Chapter 5 Incremental and Extended-Range Data Converters
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    Chapter 6 Event-Driven Successive Charge Redistribution Schemes for Clockless Analog-to-Digital Conversion
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    Chapter 7 Time-to-Digital Converters
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    Chapter 8 Look-Up Tables, Dithering and Volterra Series for ADC Improvements
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    Chapter 9 A/D Conversion with Non-uniform Differential Quantization
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    Chapter 10 Dynamic Testing of Analog-to-Digital Converters by Means of the Sine-Fitting Algorithms
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    Chapter 11 Histogram-Based Techniques for ADC Testing
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    Chapter 12 DAC Standardization and Advanced Testing Methods
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    Chapter 13 Uncertainty Analysis of Data Converters Testing Parameters
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Mentioned by

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1 patent

Citations

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15 Dimensions

Readers on

mendeley
46 Mendeley
Summary Patents Dimensions citations
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Title
Design, Modeling and Testing of Data Converters
Published by
Springer Berlin Heidelberg, October 2013
DOI 10.1007/978-3-642-39655-7
ISBNs
978-3-64-239654-0, 978-3-64-239655-7
Editors

Carbone, Paolo, Kiaei, Sayfe, Xu, Fang

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 46 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
India 1 2%
Unknown 45 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 13 28%
Student > Master 12 26%
Student > Postgraduate 3 7%
Student > Doctoral Student 3 7%
Professor 2 4%
Other 9 20%
Unknown 4 9%
Readers by discipline Count As %
Engineering 34 74%
Physics and Astronomy 5 11%
Materials Science 1 2%
Computer Science 1 2%
Unknown 5 11%

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