Application of Wavelet Transform Analysis to ADCs Harmonics Distortion
- Emad Awada
- Mohammad Alomari
Abstract
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.- Full Text:
PDF
- DOI:10.5539/cis.v6n3p118
Journal Metrics
WJCI (2022): 0.636
Impact Factor 2022 (by WJCI): 0.419
h-index (January 2024): 43
i10-index (January 2024): 193
h5-index (January 2024): N/A
h5-median(January 2024): N/A
( The data was calculated based on Google Scholar Citations. Click Here to Learn More. )
Index
- BASE (Bielefeld Academic Search Engine)
- CiteFactor
- CNKI Scholar
- CrossRef
- DBLP (2008-2019)
- EuroPub Database
- Excellence in Research for Australia (ERA)
- Genamics JournalSeek
- Google Scholar
- Harvard Library
- Infotrieve
- LOCKSS
- Mendeley
- Open policy finder
- PKP Open Archives Harvester
- ResearchGate
- Scilit
- The Keepers Registry
- UCR Library
- Universe Digital Library
- WJCI Report
- WorldCat
Contact
- Chris LeeEditorial Assistant
- cis@ccsenet.org