Back to results
US 11,888,455 B2Granted
Machine learning glitch prediction
AssigneeInvenSense, Inc.
InventorsStefano Valle, Alessandro Magnani, Pascal Trotta
Life of this patent
Estimating the term…
Abstract
Disclosed embodiments provide glitch prediction based on machine learning algorithms in mixed analog and digital systems, particularly directed to digital microelectromechanical (MEMS) multipath acoustic sensors or microphones, which allow seamless, low latency gain changes without audible artifacts or interruptions in the audio output signal.
Claims26
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.
1 more element
A method, comprising:
- determining and adjusting gain, using an automatic gain control (AGC) component, for 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;
- compensating for the adjustment of gain using a digital gain compensation component coupled to an output of an analog-to-digital converter (ADC) associated with the amplifier;
- producing a gain-compensated signal;
- and
- generating a predicted glitch signal, using a glitch predictor component configured to mitigate signal artifacts associated with at least a change in the gain of the amplifier, wherein the generating the predicted glitch signal is 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.
2 more elements
Dependencies are inferred from the claim text.