Data Weighted Averaging for Simulink
The SIMULINK- models of multibit Delta-Sigma ADC and Delta-Sigma DAC all have a non-ideal D/A-converter.
The DAC mismatch noise will be shaped according to a general Data Weighted Averaging (DWA) transfer function 1±z^(-D), where D is a positive integer.
The DWA element selection logic calculates a selection vector. The selection vector chooses, which of the unit DACs will be used according to DAC input.
The DWA block is constructed using mainly fixed-point blocks.
Models for Incremental DWA (IDWA) were also added.
This package also includes a spurious tone estimator: the spurs can be estimated using the DS input signal and the DNL error shape.
Citation pour cette source
Marko Neitola (2024). Data Weighted Averaging for Simulink (https://www.mathworks.com/matlabcentral/fileexchange/23079-data-weighted-averaging-for-simulink), MATLAB Central File Exchange. Récupéré le .
Compatibilité avec les versions de MATLAB
Plateformes compatibles
Windows macOS LinuxTags
Remerciements
Inspiré par : Delta Sigma Toolbox, Modulo Time Plot
A inspiré : Quadrature Data Weighted Averaging, Multibit CT DS ADC with DWA and ISI-Mitigation
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Version | Publié le | Notes de version | |
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1.4.0.0 | A bugfix: the spur estimator now supports all DWA modes (i.e. noise shaping transfer functions). |
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1.3.0.0 | Feature update: spurious tone estimator.
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1.2.0.0 | Added three simulation models for Delta-Sigma D/A converters. |
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1.1.0.0 | Major improvement. The DWA-DAC is now more realistic. Also added a model that uses incremental DWA. |
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1.0.0.0 |