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This book describes several Digital Delta-Sigma Modulator (DDSM) architectures, including multi stage noise shaping (MASH), error feedback modulator (EFM) and single quantizer (SQ)-DDSM modulators, with a focus on predicting and maximizing their cycle lengths. The authors aim to demystify an important aspect of these particular DDSM structures, namely the existence of spurs resulting from the inherent periodicity of DDSMs with constant inputs.? Simulink and MATLAB models and code are presented in Chapters 25 to enable the reader to reproduce the results in this work and to explore further. These examples will also be helpful for first-time designers of DDSMs.
This volume demystifies Digital Delta-Sigma Modulator (DDSM) architectures, covering multi stage noise shaping (MASH), error feedback modulators (EFM) and single quantizer (SQ)-DDSM modulators. Chapters also include Simulink and MATLAB models, allowing readers to reproduce results.
Introduction.- DDSM and Applications.- Conventional Techniques for Maximizing Cycle Lengths.- Maximizing Cycle Lengths by ArchitectureModification.- HK-EFM and HK-SQ-DDSM.Digital Delta-Sigma Modulators (DDSMs) are widely used in frequency synthesizers and oversampled digital-to-analog converters. In fact, they are more widely used commercially that their analog counterparts.? This book describes several? DDSM architectures, including multi stage noise shaping (MASH), error feedback modulator (EFM) and single quantizer (SQ)-DDSM modulators, with a focus on predicting and maximizing their cycle lengths. The authors aim to demystify an important aspect of these particular DDSM structures, namely the existence of spurs resulting from the inherent periodicity of DDSMs with constant inputs.? Simulink and MATLAB models and code are presented in Chapters 25 to enable the reader to reproduce the results in this work and to explore further. These examples will also be helpful for first-time designers of DDSMs.
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