Ponencia
Mixed-signal quadratic operators for the feature extraction of neural signals
Autor/es | Delgado Restituto, Manuel
Fiorelli, Rafaella Carrasco Robles, Manuel Rodríguez Vázquez, Ángel Benito |
Departamento | Universidad de Sevilla. Departamento de Electrónica y Electromagnetismo |
Fecha de publicación | 2016 |
Fecha de depósito | 2019-10-17 |
Publicado en |
|
ISBN/ISSN | 978-1-5090-2959-4 |
Resumen | 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. |
Identificador del proyecto | TEC2012-33634
N00014141355 |
Cita | 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. |
Ficheros | Tamaño | Formato | Ver | Descripción |
---|---|---|---|---|
Mixed-signal quadratic operato ... | 16.25Mb | [PDF] | Ver/ | |