Wavelet Analysis of ADC Errors


Ozbek G., Seker S.

22nd IEEE Signal Processing and Communications Applications Conference (SIU), Trabzon, Turkey, 23 - 25 April 2014, pp.878-881 identifier

  • Publication Type: Conference Paper / Full Text
  • City: Trabzon
  • Country: Turkey
  • Page Numbers: pp.878-881

Abstract

Wavelet Analysis is a promising signal processing method currently used in many applications. In this work, it is used to detect and visualize ADC errors obtained from real prototype measurement data of a 14-bit SAR ADC. Both Continuous Wavelet Transform (CWT) and Multi-Rate Analysis (MRA) methods are examined and their relation with Short Time Fourier Transform (STFT) is given. MATLAB's Wavelet Toolbox is used for calculations. First studies show that wavelet analysis can be used for analyzing ADC errors.