Avnera Corporation

Yor Labs, Inc.

Avnera Corpor Ation

Colin Doolittle

Amit Kumar

Michael Jon Wurtz

Clark D Brooks

Anshumali Roy

David B Wurtz

Chung Ping Cheung

Manpreet Singh Khaira

Meenakshi Barjatia

Deepika Kumari

Andrei Kniazev

Systems and methods of 3D ultrasound imaging with one or more 'thick-slice' 3D ultrasound imaging zones and one or more 2D ultrasound zones using a multi-zone, multi-frequency image reconstruction scheme with subzone blending. The first zone can be a thick-slice imaging zone and the second and third zones are 2D imaging zones. The first zone and the second zone can be thick-slice imaging zones and the third zone can be a 2D imaging zone. The first zone can be a 2D imaging zone, the second zone can be a thick-slice imaging zone and the third zone can be a 2D imaging zone. A method includes imaging a first zone using plane wave imaging, a second zone using tissue harmonic imaging, and a third zone using fundamental and subharmonic deep imaging. The depth of each zone can vary based on the ultrasonic array and the F# used for imaging the zone.

Method and apparatus for composition of ultrasound images with integration of 'thick-slice' 3-dimensional ultrasound imaging zone(s) and 2-dimensional ultrasound zone(s) utilizing a multi-zone, multi-frequency ultrasound image reconstruction scheme with sub-zone blending

Systems and methods of ultrasound imaging of an object that includes multiple depth zones. Each of the zones can be imaged using a different frequency, or the same frequency as another zone. A method includes imaging a first zone using plane wave imaging, imaging a second zone using tissue harmonic imaging, and imaging a third zone using fundamental and subharmonic deep imaging. The depth of each zone can vary based on the ultrasonic array, and correspondingly, the F # used for imaging the zone. In an example, zones can be imaged at different F #'s, for example, at F #1 for the first zone, at F #2, F #3, or F #6 for one or more zones that extend deeper into the object than the first zone. The method can also include forming an image based on the received signals from the multiple zones, and blending the transitions between the zones.

Method and apparatus for multi-zone, multi-frequency ultrasound image reconstruction with sub-zone blending

The disclosure includes a voice isolation system comprising an acoustic echo-cancelation subsystem configured to receive a plurality of input signals, subtract an interference component from the input signals, and provide a plurality of output signals. The system also includes an adaptive beamformer subsystem configured to receive the plurality of output signals from the acoustic echo-cancelation subsystem and compute a signal-to-noise ratio enhanced signal based on the received output signals. The system also includes a residual noise suppressor subsystem configured to attenuate at least one portion of the SNR enhanced signal received from the adaptive beamformer subsystem based on the at least one portion having an SNR below a predetermined SNR threshold. The system also includes an automatic gain control subsystem configured to process a signal outputted from the residual noise suppressor subsystem and transmit a resulting signal as an output signal.

Voice isolation system

Disclosed is a signal processor for headphone off-ear detection. The signal processor includes an audio output to transmit an audio signal toward a headphone speaker in a headphone cup. The signal processor also includes a feedback (FB) microphone input to receive a FB signal from a FB microphone in the headphone cup. The signal processor also includes an off-ear detection (OED) signal processor to determine an audio frequency response of the FB signal over an OED frame as a received frequency response. The OED processor also determines an audio frequency response of the audio signal times an off-ear transfer function between the headphone speaker and the FB microphone as an ideal off-ear response. A difference metric is generated comparing the received frequency response to the ideal off-ear frequency response. The difference metric is employed to detect when the headphone cup is disengaged from an ear.

Headphone off-ear detection

An audio speaker system for a home theater including a number of microphones, a number of speakers, each speaker located at a different location in a room, and a processor electrically connected to the plurality of microphones and wirelessly connected to the plurality of speakers. The processor is configured to generate an audio signal to send to each speaker of the plurality of speakers, output audio from each speaker of the plurality of speakers based on the audio signal, receive the audio at each microphone from each speaker of the plurality of speakers, determine a location of each speaker relative to the plurality of microphones based on the received audio at each microphone, and assign an audio channel to each speaker based on the determined location.

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Portland, OR, United States of America

Colin Doolittle