Titlebook: Smart and Flexible Digital-to-Analog Converters; Georgi Radulov,Patrick Quinn,Arthur H.M. van Roerm Book 2011 Springer Science+Business Me

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Georgi Radulov PDEng,Patrick Quinn,Hans Hegt,Arthur van Roermund

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Classification of Error Correction Methods, a Broad Viewg to the same classes are discussed. Clues are provided for the development of new correction methods that can fill-in the gaps. A discussion about the relevance of the introduced classification is provided and potential extensions of the classification are outlined.

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Flexible Digital-to-Analog Converters Conceptincluding calibration, error mapping, data reshuffling, and harmonic distortion cancellation. The proposed new DAC flexibility concept is expected to assist FPGA digital platforms in their continual expansion into the mixed-signal domain.

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Introductionible development of microelectronics. The revolutionary advent and continual evolution of the Complementary Metal Oxide Semiconductor (CMOS) technology and digital electronics established, and continue to create advancements over analog design in such technological categories as computing, communica

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Basics of Digital-to-Analog Conversionsed, followed by the algorithmic aspects of D/A conversion. Next, algorithmic segmentation is addressed in the context of utilization of analog resources. Then, architectures and implementation options are discussed. Different DAC implementations are briefly reviewed. Finally, the chapter discusses

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Smart Self-Correcting D/A Convertersrection only. The measurement and error processing are beyond the scope of this chapter. Three principle correction methods are discussed: self-calibration in Sect. 4.2, mapping in Sect. 4.3 and digital pre-distortion in Sect. 4.4. These methods are characterized by the way they utilize DAC intrinsi

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Error Modeling for DAC Correction, a Broad Viewrs of the DAC current cells are discussed. A model is proposed that explains the performance deterioration due to the amplitude and timing errors of the current cells. The timing errors are modeled as a composition of sampling and amplitude errors. This model helps explaining how the amplitude error