A 9.6 nW, 8-Bit, 100 S/s Envelope-to-Digital Converter for Respiratory Monitoring

The signal's envelope contains important features for a host of applications empowered by machine learning algorithms. Conventionally, the raw analog signal is digitized first, followed by feature extraction in the digital domain. This brief presents an ultra-low-power envelope-to-digital conve...

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Veröffentlicht in:	IEEE transactions on circuits and systems. II, Express briefs Express briefs, 2020-03, Vol.67 (3), p.445-449
Hauptverfasser:	Shi, Erjia, de Godoy, Daniel, Kinget, Peter R., Pun, Kong-Pang
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms analog circuit for feature extraction Analog to digital conversion Analog to digital converters Bandwidth Capacitors Clocks CMOS Engineering Engineering, Electrical & Electronic Envelope detection Envelope detectors Envelope-to-digital converter Feature extraction Machine learning Monitoring Sampling Science & Technology Signal monitoring Technology ultra-low power
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