A novel wavelet-based analog-to-digital converter
Isadora Freire Martins, José Edil Guimarães de Medeiros, Jose A. A. de Andrade, Sandro A. P. Haddad · 2017
This paper presents an analog-to-digital converter with a novel adaptive wavelet-based sampling scheme. The proposed algorithm uses the wavelet transform to localize critical points in the signal, while the estimated Lipschitz exponent describes the signal's shape. Also, a polynomial reconstruction method is proposed and applied to the converter's outputs for a test signal. Results show that it is possible to recover the signal from its samples with up to 99% correlation for some wavelet bases.