Cirrus Logic Inc.

Cirrus Logic International Semiconductors, Ltd.

Chin Huang Yong

Jeffrey Donald Alderson

Jon David Hendrix

Dayong Zhou

Antonio John Miller

Gautham Devendra Kamath

Yang Lu

Hamid Sepehr

Aleksey Sergeyevich Khenkin

Emmanuel A Marchais

Vadim A Konradi

Marco A Janko

Anil Lal

Filippo Rossi

Colin Campbell

John L Melanson

Pablo Peso Parada

Tom Birchall

Ryan A Hellman

Ziyan Zou

Kyle Wilkinson

Robert George Kratsas

Sang-Ik Terry Cho

Jens-Peter B Axelsson

Jason Kulpe

Robert G Kratsas

The impedance of a connector, such as a flex cable, between a source and load affects the temperature and power consumption within an electronic system, such as a mobile device. According to embodiments described in this disclosure, the impedance of the flex cable may be separately tracked from the impedance of the source, which provides for improved power management within the electronic system. The impedance of the flex cable may be factored into determining a maximum available power to the load. The impedance of the flex cable may also be mapped to a temperature and used to manage power to maintain operation within temperature limits. Additional aspects of power management and impedance tracking for a connector are described herein.

Impedance tracking for connector between source and load

A method for determining and mitigating over-excursion of an internal mass of an under-damped electromechanical transducer may include transforming an electrical playback signal to an estimated displacement signal, based on the estimated displacement signal, determining an estimated over-excursion of the internal mass responsive to the electrical playback signal, and limiting, based on the estimated over-excursion, an electrical driving signal derived from the electrical playback signal and for driving the electromechanical transducer in order to mitigate over-excursion of the internal mass.

Determination and avoidance of over-excursion of internal mass of transducer

A method for determining and mitigating over-excursion of an internal mass of an electromechanical transducer may include measuring a sensed signal associated with the electromechanical transducer in response to a driving signal driven to the electromechanical transducer, determining a non-linearity value based on the sensed signal, mapping the non-linearity value to a probability of over-excursion of the internal mass, and applying a gain to a signal path configured to generate the driving signal based on the probability.

Detection and prevention of non-linear excursion in a haptic actuator

A method of recording measurement data for characterizing a response of a given type of device to an applied force, the given type defining devices of that type as comprising a defined arrangement of a surface and N force sensors of the device concerned, where N&#x2265;1, each force sensor configured to output a sensor signal, wherein in the defined arrangement the N force sensors are operatively coupled to a defined input region of the surface so as to sense a force applied to that input region, the method comprising: for a specimen device of the given type, performing at least one measurement procedure, each measurement procedure comprising at least one measurement operation, each measurement operation comprising applying a defined force at a corresponding location on the input region of the device concerned and recording measurement data for that device and location based on the sensor signals of the N force sensors of that device. Also disclosed are a related computer-implemented method of generating a characterization definition for devices of the given type, a computer-implemented method of generating a configuration definition for devices of the given type for a given use case defined by a use-case definition, a method of configuring a candidate device of the given type for the given use case, and a method of assessing or calibrating a candidate device of the given type.

Characterization of force-sensor equipped devices

An adaptive filter includes a frequency domain adaptation block that analyzes a statistic of coefficient movement in the frequency domain. The adaption block adjusts, in the frequency domain, a parameter (step size or leakage factor) that affects speed of convergence of the adaptive filter based on the analyzed statistic of filter coefficient movement. The filter includes an associated coefficient, statistic of coefficient movement, and parameter for each frequency bin. The coefficients may be complex numbers, and separate real and imaginary statistics and parameters are maintained. The statistic may be direction counts of the filter coefficient movement. The step size may be adjusted to a predetermined minimum value when the current direction of movement of the filter coefficient is different than the predominant direction and otherwise the step size is adjusted approximately proportionally to an amount of predominance by a value based on a direction count of the filter coefficient movement.

Frequency domain adaptation with dynamic step size adjustment based on analysis of statistic of adaptive filter coefficient movement

An integrated circuit may include an output for providing an output signal to a transducer including both a source audio signal for playback to a listener and an anti-noise signal for countering the effect of ambient audio sounds in an acoustic output of the transducer, an ambient microphone input for receiving an ambient microphone signal indicative of the ambient audio sounds; an error microphone input for receiving an error microphone signal indicative of the output of the transducer and the ambient audio sounds at the transducer; and a processing circuit that implements a feedback path having a feedback response that generates a feedback anti-noise signal from the error microphone signal, wherein a signal gain of the feedback path is a function of the ambient microphone signal, and wherein the anti-noise signal comprises at least the feedback anti-noise signal.

Feedback howl management in adaptive noise cancellation system

In accordance with the present disclosure, an integrated circuit for implementing at least a portion of a personal audio device may include an output and a processing circuit. The output may provide an output signal to a transducer including both a source audio signal for playback to a listener and an anti-noise signal for countering the effect of ambient audio sounds in an acoustic output of the transducer. The processing circuit may implement an adaptive noise cancellation system that generates the anti-noise signal to reduce the presence of the ambient audio sounds heard by the listener by adapting, based on a presence of the source audio signal, a response of the adaptive noise cancellation system to minimize the ambient audio sounds at the acoustic output of the transducer, wherein the adaptive noise cancellation system is configured to adapt both in the presence and the absence of the source audio signal.

Systems and methods for multi-mode adaptive noise cancellation for audio headsets

A method may include adaptively generating an anti-noise signal for countering the effects of ambient audio sounds at an acoustic output of the transducer by adapting a response of an adaptive filter that filters a reference microphone signal in conformity with an error microphone signal and the reference microphone signal to minimize the ambient audio sounds in the error microphone, generating a scaled anti-noise signal by applying a scaling factor to the anti-noise signal, further adjusting the response of the adaptive filter independent of a source audio signal by altering an input to the coefficient control block of the adaptive filter to compensate for the scaling factor, and combining the scaled anti-noise signal with the source audio signal to generate an audio signal provided to the transducer.

Systems and methods for controlling adaptive noise control gain

A personal audio device, such as a wireless telephone, includes an adaptive noise canceling (ANC) circuit that adaptively generates an anti-noise signal from a reference microphone signal and injects the anti-noise signal into the speaker or other transducer output to cause cancellation of ambient audio sounds. An error microphone is also provided proximate to the speaker to provide an error signal indicative of the effectiveness of the noise cancellation. A secondary path estimating adaptive filter is used to estimate the electro-acoustical path from the noise canceling circuit through the transducer so that source audio can be removed from the error signal. A level of the source audio with respect to the ambient audio is determined to determine whether the system may generate erroneous anti-noise and/or become unstable.

Source audio acoustic leakage detection and management in an adaptive noise canceling system

An adaptive noise canceling (ANC) circuit adaptively generates an anti-noise signal from a reference microphone signal that is injected into the speaker or other transducer output to cause cancellation of ambient audio sounds. An error microphone proximate the speaker provides an error signal. A secondary path estimating adaptive filter estimates the electro-acoustical path from the noise canceling circuit through the transducer so that source audio can be removed from the error signal. Tones in the source audio, such as remote ringtones, present in downlink audio during initiation of a telephone call, are detected by a tone detector using accumulated tone persistence and non-silence hangover counting, and adaptation of the secondary path estimating adaptive filter is halted to prevent adapting to the tones. Adaptation of the adaptive filters is then sequenced so any disruption of the secondary path adaptive filter response is removed before allowing the anti-noise generating filter to adapt.

Downlink tone detection and adaptation of a secondary path response model in an adaptive noise canceling system

A processing circuit may comprise an adaptive filter having a response generating an anti-noise signal from a reference microphone signal, a secondary path estimate filter modeling an electro-acoustic path of a source audio signal, a biasing portion that generates a scaled anti-noise signal by applying a scaling factor and the response of the secondary path estimate filter to the anti-noise signal, and a coefficient control block that shapes the response of the adaptive filter in conformity with the reference microphone signal and a modified playback corrected error signal by adapting the response of the adaptive filter to minimize ambient audio sounds in the error microphone signal, wherein the playback corrected error is based on a difference between the error microphone signal and the source audio signal and the modified playback corrected error signal is based on a difference between the playback corrected error signal and the scaled anti-noise signal.

Systems and methods for adaptive noise cancellation by biasing anti-noise level

A personal audio device, such as a wireless telephone, includes an adaptive noise canceling (ANC) circuit that adaptively generates an anti-noise signal from a reference microphone signal and injects the anti-noise signal into the speaker or other transducer output to cause cancellation of ambient audio sounds. An error microphone is also provided proximate to the speaker to provide an error signal indicative of the effectiveness of the noise cancellation. A secondary path estimating adaptive filter is used to estimate the electro-acoustical path from the noise canceling circuit through the transducer so that source audio can be removed from the error signal. Adaptation of adaptive filters is sequenced so that update of their coefficients does not cause instability or error in the update. A level of the source audio with respect to the ambient audio can be determined to determine whether the system may generate erroneous anti-noise and/or become unstable.

Growing community of inventors

Austin, TX, United States of America

Chin Huang Yong