A novel wavelet-based analog-to-digital converter

Autor:	Isadora F. Martins, Jose A. A. de Andrade, Sandro A. P. Haddad, Jose E. G. Medeiros
Rok vydání:	2017
Předmět:	Discrete wavelet transform Wavelet Lifting scheme Stationary wavelet transform Second-generation wavelet transform ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Electronic engineering Wavelet transform Cascade algorithm Algorithm Mathematics Wavelet packet decomposition
Zdroj:	ISCAS
DOI:	10.1109/iscas.2017.8050622
Popis:	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.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::839441273f7252bef18a5d73f4b2875e https://doi.org/10.1109/iscas.2017.8050622 Zobrazit plný text záznamu