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    Transducer system with configurable acoustic overload point
    11.
    发明授权
    Transducer system with configurable acoustic overload point 有权

    公开(公告)号：US11800299B2

    公开(公告)日：2023-10-24

    申请号：US17747454

    申请日：2022-05-18

    Applicant: Qualcomm Technologies Inc.

    Inventor： Robert Littrell ,  Ronald Gagnon

    IPC: H04R3/00 ,  H04R19/04 ,  H04R17/02 ,  H04R1/04 ,  H04R19/00

    CPC classification number: H04R19/04 ,  H04R1/04 ,  H04R3/00 ,  H04R17/02 ,  H04R19/005 ,  H04R2201/003

    Abstract: A MEMS transducer system has a transducer configured to convert a received signal into an output signal for forwarding by a transducer output port, and an integrated circuit having an IC input in communication with the transducer output port. The IC input is configured to receive an IC input signal produced as a function of the output signal. The system also has a dividing element coupled between the IC input and the transducer output port. The dividing element is configured to selectively attenuate one or more signals into the IC input to at least in part produce the IC input signal. Other implementations may couple a feedback loop to the ground of the transducer (similar to bootstrapping), or pick off voltages at specific portions of the transducer.

    Mobility and zone management in zone-based federated learning
    13.
    发明授权
    Mobility and zone management in zone-based federated learning 有权

    公开(公告)号：US11778484B2

    公开(公告)日：2023-10-03

    申请号：US17517633

    申请日：2021-11-02

    Applicant: QUALCOMM TECHNOLOGIES, INC.

    Inventor： An Chen ,  Vijaya Datta Mayyuri

    IPC: H04W16/22 ,  G06N3/08 ,  H04W4/021 ,  H04W4/02

    CPC classification number: H04W16/22 ,  G06N3/08 ,  H04W4/021 ,  H04W4/025

    Abstract: A method for mobility and zone management in zone-based federated learning includes receiving, at a zone management device of multiple zone management devices, a global model from a first network device associated with the global model. Each of the multiple zone management devices is associated with a corresponding zone model of multiple zone models. The zone management device transmits the global model to mobile devices in a first zone associated with the first zone model based on a zone membership. The zone management device receives weights associated with the global model from each mobile device in the first zone. The zone management device updates the first zone model based on the received weights and the zone membership. The zone management device transmits the updated first zone model to each mobile device in the first zone.

    MICROPHONE HAVING A DIGITAL OUTPUT DETERMINED AT DIFFERENT POWER CONSUMPTION LEVELS
    14.
    发明公开
    MICROPHONE HAVING A DIGITAL OUTPUT DETERMINED AT DIFFERENT POWER CONSUMPTION LEVELS 审中-公开

    公开(公告)号：US20230308819A1

    公开(公告)日：2023-09-28

    申请号：US18126938

    申请日：2023-03-27

    Applicant: Qualcomm Technologies Inc.

    Inventor： Robert J. LITTRELL

    IPC: H04R29/00 ,  G10L25/21 ,  G10L25/18 ,  H04R17/02 ,  G10L25/78 ,  H04R19/04

    CPC classification number: H04R29/004 ,  G10L25/21 ,  G10L25/18 ,  H04R17/02 ,  G10L25/78 ,  H04R19/04 ,  H04R2201/003

    Abstract: An acoustic device is described and includes an acoustic sensor element configured to sense acoustic energy and produce an output signal and a threshold detector circuit including a switch having an input coupled to the output of the acoustic sensor element to receive the output signal, a control port that receives a control signal, and first and second output ports, a first channel including an analog-to-digital converter that operates at a first power level a second analog-to-digital converter that operates at a second higher power level, relative to the first power level and a threshold level detector that receives an output from the first analog-to-digital converter to produce the control signal having a first state that causes the switch feed the output signal from the acoustic sensor element to the second analog-to-digital converter when the first digitized output signal meets a threshold criteria.

    Systems and methods for multiresolution parsing
    15.
    发明授权
    Systems and methods for multiresolution parsing 有权

    公开(公告)号：US11770386B2

    公开(公告)日：2023-09-26

    申请号：US17645890

    申请日：2021-12-23

    Applicant: QUALCOMM TECHNOLOGIES, INC.

    Inventor： Jordi Ros-Giralt ,  Alan Commike ,  Richard A. Lethin

    IPC: G06F16/00 ,  H04L9/40 ,  G06F16/903

    CPC classification number: H04L63/1408 ,  G06F16/90344

    Abstract: A multiresolution parser (MRP) can selectively extract one or more information units from a dataset based on the available processing capacity and/or the arrival rate of the dataset. Should any of these parameters change, the MRP can adaptively change the information units to be extracted such that the benefit or value of the extracted information is maximized while minimizing the cost of extraction. This tradeoff is facilitated, at least in part, by an analysis of the spectral energy of the datasets expected to be processed by the MRP. The MRP can also determine its state after a processing iteration and use that state information in subsequent iterations to minimize the required computations in such subsequent iterations, so as to improve processing efficiency.

    Multi-path mitigation in tracking objects using compressed RF data
    16.
    发明授权
    Multi-path mitigation in tracking objects using compressed RF data 有权

    公开(公告)号：US11733341B2

    公开(公告)日：2023-08-22

    申请号：US17592377

    申请日：2022-02-03

    Applicant: Qualcomm Technologies, Inc.

    Inventor： Felix Markhovsky ,  Truman Prevatt ,  Russ Markhovsky ,  Michael John Buynak

    IPC: G01S5/02 ,  H04W64/00 ,  G01S7/4861 ,  G01S19/05 ,  G01S7/4865

    CPC classification number: G01S5/0236 ,  G01S5/0231 ,  G01S7/4861 ,  G01S7/4865 ,  G01S19/05 ,  H04W64/003

    Abstract: A split architecture is disclosed for determining the location of a wireless device in a heterogeneous wireless communications environment. A detector within the device or another component of the environment receives signals including parameters for a localization signal of the device. The parameters describe known in advance signals within the signals. Additional metadata including each frame start of the signals and assistance data and auxiliary information are also received. The known in advance signals are detected based on the parameters of the localization signal. Samples extracted from the known in advance signals are then processed and compressed and sent with other collect data to a locate server remote from the detector. The location server uses that information as well as similar information about the environment to calculate the location of the device, as well as perform tracking and navigation of the device, and report such results to the environment.

    Systems and methods for selective expansive recursive tensor analysis
    18.
    发明授权
    Systems and methods for selective expansive recursive tensor analysis 有权

    公开(公告)号：US11520856B2

    公开(公告)日：2022-12-06

    申请号：US17086772

    申请日：2020-11-02

    Applicant: QUALCOMM TECHNOLOGIES, INC.

    Inventor： Muthu M. Baskaran ,  David Bruns-Smith ,  James Ezick ,  Richard A. Lethin

    IPC: G06F17/16

    Abstract: A system for performing tensor decomposition in a selective expansive and/or recursive manner, a tensor is decomposed into a specified number of components, and one or more tensor components are selected for further decomposition. For each selected component, the significant elements thereof are identified, and using the indices of the significant elements a sub-tensor is formed. In a subsequent iteration, each sub-tensor is decomposed into a respective specified number of components. Additional sub-tensors corresponding to the components generated in the subsequent iteration are formed, and these additional sub-tensors may be decomposed further in yet another iteration, until no additional components are selected. The mode of a sub-tensor can be decreased or increased prior to decomposition thereof. Components likely to reveal information about the data stored in the tensor can be selected for decomposition.

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