Application of Wavelet Transform Analysis to ADCs Harmonics Distortion | Zendy

Emad Awada | Zendy; Mohammad H. Alomari | Zendy

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Application of Wavelet Transform Analysis to ADCs Harmonics Distortion

Author(s) -

Emad Awada,

Mohammad H. Alomari

Publication year - 2013

Publication title -

computer and information science

Language(s) - English

Resource type - Journals

eISSN - 1913-8997

pISSN - 1913-8989

DOI - 10.5539/cis.v6n3p118

Subject(s) - harmonic wavelet transform , computer science , wavelet transform , wavelet , total harmonic distortion , distortion (music) , harmonics , discrete wavelet transform , fourier transform , algorithm , harmonic , computation , second generation wavelet transform , stationary wavelet transform , constant q transform , power (physics) , mathematics , artificial intelligence , acoustics , telecommunications , physics , electrical engineering , mathematical analysis , engineering , amplifier , bandwidth (computing) , quantum mechanics , voltage

This paper presents a new method of detecting Analog to Digital Converter harmonic distortion. The new method is based on Wavelet multi-resolution process to identify instantaneous harmonic components. In classical testing, Fourier transform algorithm was long adopted to estimate Total Harmonic Distortion by obtaining signal power spectrum. While the conventional method of Fourier transform tend to be complicated and lengthy, the new investigated algorithms of Wavelet transform has shown less computations process and instantaneous testing of ADCs harmonic distortions. By shorten testing times and reduced computation complexity, Wavelet transform can be particularly appropriate for developing ADCs low-cost, and fast testing procedure

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