Data Weighted Averaging for Simulink

A group of Delta-Sigma SIMULINK- models with DWA mismatch shaping.
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Aktualisiert 15. Okt 2010

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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.

Zitieren als

Marko Neitola (2024). Data Weighted Averaging for Simulink (https://www.mathworks.com/matlabcentral/fileexchange/23079-data-weighted-averaging-for-simulink), MATLAB Central File Exchange. Abgerufen.

Kompatibilität der MATLAB-Version
Erstellt mit R2010a
Kompatibel mit allen Versionen
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Version Veröffentlicht Versionshinweise
1.4.0.0

A bugfix: the spur estimator now supports all DWA modes (i.e. noise shaping transfer functions).

1.3.0.0

Feature update: spurious tone estimator.
Changed:
1. The stimulus is now created in matlab script.
2. The models are run by an m-file script.

1.2.0.0

Added three simulation models for Delta-Sigma D/A converters.

1.1.0.0

Major improvement. The DWA-DAC is now more realistic. Also added a model that uses incremental DWA.

1.0.0.0