Qualcomm Incorporated

Access Analog, LLC

Christopher A Barrett

Bhaskara Viswanadham Batchu

Norman S Gargash

Chih-Ping Hsu

Francis Ming-Meng Ngai

Brian J Salsbery

Sridhar Bandaru

Andrew James Frantz

Sasidhar Movva

Shriram Gurumoorthy

Chetan Khosla

Mihir Pravin Nabar

Temitope Akinsipe

Brian Theodore Lubars

Andrew J Frantz

Methods and systems for processing audio signals include receiving, via an application displayed at a client computing device, an audio signal and a user control input for controlling an audio processing effect of the audio signal. The method may comprise sending the audio signal and the user control input to an audio server and then relaying the audio signal through the audio server to an input of an audio processing device. The method may also comprise controlling a setting on the audio processing device through a hardware controller based on the user control input, and returning a processed version of the audio signal from the audio processing device to the client computing device. The method may comprise adding an identifying signal between samples of an unprocessed version of the audio signal and initiating playback based on the identifying signal.

Remote streaming audio processing system

The disclosure provides methods and systems for processing audio signals. The method may comprise receiving, via an application displayed at a client computing device, an audio signal and a user control input for controlling an audio processing effect of the audio signal. Then, the method may comprise sending, via a wide area network connection, the audio signal and the user control input to an audio server and then relaying the audio signal through the audio server to an input of an audio processing device. The method may also comprise controlling a setting on the audio processing device through a hardware controller based on the user control input, and returning a processed version of the audio signal from the audio processing device to the client computing device.

Methods, systems, and devices are described for wireless communication. A method may include maintaining a plurality of conflict entries, each conflict entry indicating a first frequency range associated with interference by a first radio access technology (RAT) and a second frequency range associated with interference by a second RAT. Each conflict entry may indicate a first frequency range of component carriers of a RAT operating in carrier aggregation mode. Active coexistence conflicts may be identified between the first and second RATs based in part on the conflict entries and current radio conditions. The method may also include selecting one of the active coexistence conflicts for conflict mitigation. In some examples, a subset of the conflict entries are organized into an intermodulation group. The method may also include determining a conflict priority for each conflict entry associated with an active coexistence conflict. In some examples, conflict priorities may be aggregated.

Identifying radio access technology (RAT) coexistence conflicts using a priority-based mechanism

Various embodiments provide methods implemented in a mobile communication device (e.g., a multi-RAT communication device) for maintaining at least one separate RGS value for each of a plurality of RATs operating on the mobile communication device. Specifically, a device processor on the mobile communication device (e.g., a crystal oscillator manager) may maintain a separate, up-to-date RGS value for each of the plurality of RATs and may associate each of the plurality of RATs with their respective RGS values. By keeping track of the plurality of RATs' respective RGS values, the device processor may ensure that an appropriate RGS value is used to facilitate each RAT's individual operations, such as acquisition/re-acquisition operations, sleep scheduling calculations, and handover/inter-RAT measurement operations. As a result, various embodiments may improve the performance of each RAT and the overall performance of the mobile communication device.

Using client-specific RGS to improve performance on multi-SIM and multi-RAT devices

The aspects enable a computing device or microprocessor to determine a low power mode that provides the most system power savings by placing selected resources in a low power mode while continuing to function reliably, depending upon the resources not in use, acceptable system latencies, dynamic operating conditions (e.g., temperature), expected idle time, and the unique electrical characteristics of the particular device. Aspects provide a mechanism for determining an optimal low power configuration made up of a set of low power modes for the various resources within the computing device by determining which low power modes are valid at the time the processor enters an idle state, ranking the valid low power modes by expected power savings given the current device conditions, determining which valid low power mode provides the greatest power savings while meeting the latency requirements, and selecting a particular low power mode for each resource to enter.

Dynamic low power mode implementation for computing devices

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Boulder, CO, United States of America

Christopher A Barrett