Presentation
Mixed-signal quadratic operators for the feature extraction of neural signals
Author/s | Delgado Restituto, Manuel
Fiorelli, Rafaella Carrasco Robles, Manuel Rodríguez Vázquez, Ángel Benito ![]() ![]() ![]() ![]() ![]() ![]() ![]() |
Department | Universidad de Sevilla. Departamento de Electrónica y Electromagnetismo |
Publication Date | 2016 |
Deposit Date | 2019-10-17 |
Published in |
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ISBN/ISSN | 978-1-5090-2959-4 |
Abstract | This paper presents design principles for reusing charge-redistribution SAR ADCs as digital multipliers. This is illustrated with an 8-b fully-differential rail-to-rail SAR ADC/multiplier, designed in a 180 nm HV CMOS ... This paper presents design principles for reusing charge-redistribution SAR ADCs as digital multipliers. This is illustrated with an 8-b fully-differential rail-to-rail SAR ADC/multiplier, designed in a 180 nm HV CMOS technology. This reconfigurability property can be exploited for the extraction of product-related features in neural signals, such as energy content, or for the discrimination of spikes using the Teager operator. |
Project ID. | TEC2012-33634
![]() N00014141355 ![]() |
Citation | Delgado Restituto, M., Fiorelli, R., Carrasco Robles, M. y Rodríguez Vázquez, Á.B. (2016). Mixed-signal quadratic operators for the feature extraction of neural signals. En 2016 IEEE Biomedical Circuits and Systems Conference (BioCAS) (368-371), Shanghai, China: Institute of Electrical and Electronics Engineers. |
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