US 11,888,455 B2
Machine learning glitch prediction
Stefano Valle, Milan (IT); Alessandro Magnani, Milan (IT); and Pascal Trotta, Milan (IT)
Assigned to INVENSENSE, INC., San Jose, CA (US)
Filed by INVENSENSE, INC., San Jose, CA (US)
Filed on May 19, 2022, as Appl. No. 17/664,114.
Claims priority of provisional application 63/243,671, filed on Sep. 13, 2021.
Prior Publication US 2023/0082009 A1, Mar. 16, 2023
Int. Cl. H03G 3/34 (2006.01); H04R 3/00 (2006.01); H03G 3/30 (2006.01); H04R 19/04 (2006.01); G06N 3/08 (2023.01); H04R 1/04 (2006.01)
CPC H03G 3/3005 (2013.01) [G06N 3/08 (2013.01); H04R 1/04 (2013.01); H04R 3/00 (2013.01); H04R 19/04 (2013.01); H03G 2201/103 (2013.01); H04R 2201/003 (2013.01); H04R 2430/01 (2013.01)] 26 Claims
OG exemplary drawing
 
1. An apparatus, comprising:
an automatic gain control (AGC) component configured to determine and adjust gain of an amplifier that generates an analog signal, wherein AGC component determination and adjustment of gain is based at least in part on a characteristic measurement of a digital signal in a digital signal path associated with the analog signal;
a glitch predictor component configured to mitigate signal artifacts associated with at least a change in the gain of the amplifier, based at least in part on a machine learning characterization of glitch-representative signal information associated with the at least the change in the gain of the amplifier, wherein the glitch predictor component generates a predicted glitch signal; and
a digital gain compensation component associated with the amplifier and configured to compensate for the adjustment of gain to produce a gain-compensated signal associated with the signal artifacts, wherein the digital gain compensation component compensates for the adjustment of gain and is coupled to an output of an analog-to-digital converter (ADC) associated with the amplifier.