The Algorithm of Testing ADC Effective, Number of Bits Based on Hilbert and Wavelet Transform

Author:

Awada Emad A.1

Affiliation:

1. Department of Electrical and Computer Engineering, Applied Science Private University, Amman, Jordan

Publisher

ACM Press

Reference20 articles.

1. E. Awada," Hilbert Based Testing of ADC Differential Non- Linearity using Wavelet Transform Algorithms ", International Journal of Electrical and Computer Engineering (IJECE). Vol 8, Dec. 2018 (Part II), pp.5071--5079.

2. Awada, E., Alomari, M., & Radwan, E., " Wavelet Estimation of THD Based on Hilbert Transform Extraction ". International Journal of Applied Engineering Research, Volume 11, 2016, pp. 6451--6456.

3. Awada, E., " Analysis of SFDR Using Power Spectrum Based on Wavelet Extraction ". International Journal of Applied Engineering Research, Volume 11, 2016, pp. 1256--1260.

4. Akujuobi, C. M., Awada, E., Sadiku, M., & Ali, W., "Wavelet-Based Differential Nonlinearity Testing of Mixed Signal System ADCs," IEEE Proceeding-Southeast Conference, 2007, pp. 76--81.

5. P. Ramos, J. da Silva, D. Ferreira. and M. Santos, " Statistically enhanced analog and mixed-signal design and test", IEEE 21st International Mixed-Signal Testing Workshop (IMSTW), 2016, pp. 1--5.

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