An audio input signal is digitized via circuitry of an ear-wearable device. An adaptive feedback canceller has an adaptive filter producing an output that is inserted into the digitized audio input signal to cancel feedback. A motion detector provides a motion signal indicative of motion of the car-wearable device. A processor is operable to determine a change in a feedback path based on the motion signal. The processor causes the adaptive filter to have faster adaption in response to the change in the feedback path is above a first threshold. The processor also causes the adaptive filter to have slower adaption in response to the change in the feedback path being below a second threshold.

A method and an apparatus for determining a stability factor of an adaptive filter is presented. The method includes: determining, according to first input signal that are input to an adaptive filter, a reference input matrix of the first input signal; determining a stability parameter of the first input signal according to the reference input matrix; and determining a stability factor of the adaptive filter according to the stability parameter. According to the method and apparatus for determining a stability factor of an adaptive filter provided in the embodiments of the present application, the stability factor of the adaptive filter can be adaptively obtained according to a stability feature of the first input signal, and the adaptive filter can reach a balance between a convergence speed and steady state error performance.

A method and an apparatus for determining a stability factor of an adaptive filter is presented. The method includes: determining, according to first input signal that are input to an adaptive filter, a reference input matrix of the first input signal; determining a stability parameter of the first input signal according to the reference input matrix; and determining a stability factor of the adaptive filter according to the stability parameter. According to the method and apparatus for determining a stability factor of an adaptive filter provided in the embodiments of the present application, the stability factor of the adaptive filter can be adaptively obtained according to a stability feature of the first input signal, and the adaptive filter can reach a balance between a convergence speed and steady state error performance.

Disclosed are implementations, including a method that includes obtaining measurement samples relating to electrical operation of an electric motor drive providing power to an electric motor, deriving, based on the samples, instantaneous estimates for parameters characterizing speed and/or position of the motor according to an optimization process based on a cost function defined for the samples, and applying a filtering operation to the instantaneous estimates to generate filtered values of the motor's speed and/or position. The filtering operation includes computing the filtered values using the derived instantaneous estimates in response to a determination that a computed convexity of the cost function is greater than or equal to a convexity threshold value, and/or applying a least-squares filtering operation to the derived instantaneous estimates and using at least one set of previous estimates derived according to the optimization process applied to previous measurement samples.

Disclosed are implementations, including a method that includes obtaining measurement samples relating to electrical operation of an electric motor drive providing power to an electric motor, deriving, based on the samples, instantaneous estimates for parameters characterizing speed and/or position of the motor according to an optimization process based on a cost function defined for the samples, and applying a filtering operation to the instantaneous estimates to generate filtered values of the motor's speed and/or position. The filtering operation includes computing the filtered values using the derived instantaneous estimates in response to a determination that a computed convexity of the cost function is greater than or equal to a convexity threshold value, and/or applying a least-squares filtering operation to the derived instantaneous estimates and using at least one set of previous estimates derived according to the optimization process applied to previous measurement samples.

An audio input signal is digitized via circuitry of an ear-wearable device. An adaptive feedback canceller has an adaptive filter producing an output that is inserted into the digitized audio input signal to cancel feedback. A motion detector provides a motion signal indicative of motion of the car-wearable device. A processor is operable to determine a change in a feedback path based on the motion signal. The processor causes the adaptive filter to have faster adaption in response to the change in the feedback path is above a first threshold. The processor also causes the adaptive filter to have slower adaption in response to the change in the feedback path being below a second threshold.