Microsoft Technology Licensing, LLC

Mats Eric Myrberg

Marc Tremblay

Gerald Reuben DeJean, Ii

Lance Eric Greenwade

Andrew David Wilson

Michael Anthony Hall

Desney S Tan

Matthew Graham Dyor

Michael Koenig

Peter N Glaskowsky

Ira Snyder

Kimberly Denise Auyang Hallman

Keith O Johnson

Timothy E Onders

Greg Shirakyan

Dave Rohn

Alex Limberis

Andrew Wilson

Gerald Dejean

Michael Hall

Peter Glaskowsky

A sensor and processing system dynamically partitions or allocates functionality between various remote sensor nodes and a processing subsystem based on energy management management considerations. Redundant functionality is located at the processing subsystem and each of the various remote sensor nodes, and each sensor node coordinates with the processing subsystem to determine the location (e.g., at the processing subsystem or at the sensor node) at which a particular functionality is executed.

Energy management by dynamic functionality partitioning

Electrical battery apparatus embodiments are presented that generally involve incorporating sensing, computing, and communication capabilities into the one common component that a vast number of electronic devices employ&#x2014;namely batteries. By integrating these capabilities into disposable and/or rechargeable batteries, new functionality and intelligence can be provided to otherwise stand-alone devices.

Battery with computing, sensing and communication capabilities

A sensor and processing system dynamically partitions functionality between various remote sensor nodes and a processing subsystem based on available communication capabilities. Redundant functionality is located at the processing subsystem and each of the various remote sensor nodes, and each sensor node coordinates with the processing subsystem to determine the location (e.g., at the processing subsystem or at the sensor node) at which a particular functionality is executed.

Dynamic functionality partitioning

An aggregation framework system and method that automatic configures, aggregates, disaggregates, manages, and optimizes components of a consolidated system of devices, modules, and sensors. Embodiments of the system and method include a low-power alert sensor, a data aggregator module, and an interpreter module. The low-power alert sensor is a sensor that is continuously on and continuously monitoring its environment. The low-power alert sensor acts as a watchdog and triggers other sensors to awaken them from a power-conservation state when there is a change or event that occurs in an environment. The data aggregator module manages the set of sensors within the system and aggregates sensor data obtained from the sensors. The interpreter module then translates the physical data collected by sensors into logical information. Together the data aggregator module and the interpreter module present a unified logical view of the capabilities of the sensors under their control.

Aggregation framework using low-power alert sensor

A sound compensation system alters an electrical audio signal for input to a sonic reproduction device having associated behavioral characteristics. The behavior characteristics of the device are defined by individual or groups of individual components of the sonic reproduction device and include mechanical, acoustic and electromagnetic behaviors. The model includes a plurality of filters that simulate at least one of the behavior characteristics of the sonic reproduction device. The filters are defined by digital signal processes or by analog circuits and are characterized by one or more of an associated frequency, time, phase and transient response. These responses combine to define an overall response for the model. The filters include adjustable parameters which are used to alter filter responses to produce responses that are conjugates to the responses of the unaltered filters and thus the sonic reproduction device. A controller modifies the parameters.

Compensation system and method for sound reproduction

Growing community of inventors

Seattle, WA, United States of America

Mats Eric Myrberg