Microsoft Technology Licensing, LLC

Edward Hart

Jie Jerry Liu

Yuzhe Jin

Nissanka Arachchige Bodhi Priyantha

Bo Thiesson

Kenneth Ward Church

Gerald Reuben DeJean

Fabian Omar Winternitz

Timothy Garry Dwyer

Lev Boris Nachmanson

Kael R Rowan

Nissanka Bodhi Priyantha

Stuart Kent

S M Shahriar Nirjon

Amanda Souza De Paula

Gerald R Dejean

Jie Liu

Some implementations provide low power reduced sampling of global positioning system (GPS) locations. A server may be configured to assist a mobile device in determining a location from a plurality of GPS signal samples and corresponding time stamps provided by the mobile device, such as by identifying a set of possible reference locations, which may be used to calculate a location of the mobile device. In another example, the mobile device may sample GPS signals using a GPS receiver, compress the samples, and provide the compressed samples to the server for processing.

Reduced sampling low power GPS

The effective use of weak GPS signals that are present in various environments enables an electronic device to pinpoint its location in such environments. The electronic device uses an antenna to perform sequential scanning in multiple directions for global positioning system (GPS) signals. The electronic device further analyzes GPS signals obtained from scanning the multiple directions to determine a number of acquired GPS satellites that provided the GPS signals. The GPS signals include code phases of the acquired GPS satellites. The electronic device then computes a location of the electronic device based on the code phases of the acquired GPS satellites when the number of acquired GPS satellites meets a threshold.

High-sensitivity GPS device with directional antenna

A system and method for creating or editing a graph diagram. A system provides a mechanism to specify constraints on edge way points. Constraints may specify alignment with other way points, distribution of way points, spacing from other way points or nodes, or other types of constraints. A system may automatically determine edge way point constraints based on edge direction, edge type, target nodes or regions of nodes, or other characteristics of edges. The system enables a combination of constraints specified by a user and automatically determined by the system. Way points are positioned based on associated constraints, and edges are routed based on their associated way points.

Controlling edge routing using layout constraints

A list of integer values is generated from n-grams of a user input. The list of integer values is sorted. Differences between adjacent integer values in the list are calculated. Each calculated difference is encoded using a Golomb code. A Golomb compressed language model is accessed to identify likely matches.

Compressing language models with Golomb coding

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Edward Hart