Abstract: An example programmable device includes a configuration memory configured to store configuration data; a programmable logic having a configurable functionality based on the configuration data in the configuration memory; a signal conversion circuit; a digital processing circuit; an endpoint circuit coupled to the signal conversion circuit through the digital processing circuit; wherein the digital processing circuit includes a first one or more digital processing functions implemented as hardened circuits each having a predetermined functionality, and a second one or more processing functions implemented by the configurable functionality of the programmable logic.

Abstract: An example programmable device includes a configuration memory configured to store configuration data; a programmable logic having a configurable functionality based on the configuration data in the configuration memory; a signal conversion circuit; a digital processing circuit; an endpoint circuit coupled to the signal conversion circuit through the digital processing circuit; wherein the digital processing circuit includes a first one or more digital processing functions implemented as hardened circuits each having a predetermined functionality, and a second one or more processing functions implemented by the configurable functionality of the programmable logic.

Abstract: An example programmable device includes a configuration memory configured to store configuration data; a programmable logic having a configurable functionality based on the configuration data in the configuration memory; a signal conversion circuit; a digital processing circuit; an endpoint circuit coupled to the signal conversion circuit through the digital processing circuit; wherein the digital processing circuit includes a first one or more digital processing functions implemented as hardened circuits each having a predetermined functionality, and a second one or more processing functions implemented by the configurable functionality of the programmable logic.

Abstract: An example programmable device includes a configuration memory configured to store configuration data; a programmable logic having a configurable functionality based on the configuration data in the configuration memory; a signal conversion circuit; a digital processing circuit; an endpoint circuit coupled to the signal conversion circuit through the digital processing circuit; wherein the digital processing circuit includes a first one or more digital processing functions implemented as hardened circuits each having a predetermined functionality, and a second one or more processing functions implemented by the configurable functionality of the programmable logic.

Abstract: An example programmable device includes a configuration memory configured to store configuration data; a programmable logic having a configurable functionality based on the configuration data in the configuration memory; a signal conversion circuit; a digital processing circuit; an endpoint circuit coupled to the signal conversion circuit through the digital processing circuit; wherein the digital processing circuit includes a first one or more digital processing functions implemented as hardened circuits each having a predetermined functionality, and a second one or more processing functions implemented by the configurable functionality of the programmable logic.

Abstract: An example programmable device includes a configuration memory configured to store configuration data; a programmable logic having a configurable functionality based on the configuration data in the configuration memory; a signal conversion circuit; a digital processing circuit; an endpoint circuit coupled to the signal conversion circuit through the digital processing circuit; wherein the digital processing circuit includes a first one or more digital processing functions implemented as hardened circuits each having a predetermined functionality, and a second one or more processing functions implemented by the configurable functionality of the programmable logic.

Abstract: An example programmable device includes a configuration memory configured to store configuration data; a programmable logic having a configurable functionality based on the configuration data in the configuration memory; a signal conversion circuit; a digital processing circuit; an endpoint circuit coupled to the signal conversion circuit through the digital processing circuit; wherein the digital processing circuit includes a first one or more digital processing functions implemented as hardened circuits each having a predetermined functionality, and a second one or more processing functions implemented by the configurable functionality of the programmable logic.

Abstract: An example programmable device includes a configuration memory configured to store configuration data; a programmable logic having a configurable functionality based on the configuration data in the configuration memory; a signal conversion circuit; a digital processing circuit; an endpoint circuit coupled to the signal conversion circuit through the digital processing circuit; wherein the digital processing circuit includes a first one or more digital processing functions implemented as hardened circuits each having a predetermined functionality, and a second one or more processing functions implemented by the configurable functionality of the programmable logic.

Abstract: Methods and systems for conserving power using predictive models and signaling are described. Parameters of a power management policy are set based on predictions based on user activity and/or signals received from a remote computer which define a user preference. In an embodiment, the power management policy involves putting the computer into a sleep state and periodically waking it up. On waking, the computer determines whether to remain awake or to return to the sleep state dependent upon the output of a predictive model or signals that encode whether a remote user has requested that computer remain awake. Before returning to the sleep state, a wake-up timer is set and this timer triggers the computer to subsequently wake-up. The length of time that the timer is set to may depend on factors such as the request from the remote user, context sensors and usage data.

Abstract: Methods and systems for conserving power using predictive models and signaling are described. Parameters of a power management policy are set based on predictions based on user activity and/or signals received from a remote computer which define a user preference. In an embodiment, the power management policy involves putting the computer into a sleep state and periodically waking it up. On waking, the computer determines whether to remain awake or to return to the sleep state dependent upon the output of a predictive model or signals that encode whether a remote user has requested that computer remain awake. Before returning to the sleep state, a wake-up timer is set and this timer triggers the computer to subsequently wake-up. The length of time that the timer is set to may depend on factors such as the request from the remote user, context sensors and usage data.

Abstract: Methods and systems for conserving power using predictive models and signaling are described. Parameters of a power management policy are set based on predictions based on user activity and/or signals received from a remote computer which define a user preference. In an embodiment, the power management policy involves putting the computer into a sleep state and periodically waking it up. On waking, the computer determines whether to remain awake or to return to the sleep state dependent upon the output of a predictive model or signals that encode whether a remote user has requested that computer remain awake. Before returning to the sleep state, a wake-up timer is set and this timer triggers the computer to subsequently wake-up. The length of time that the timer is set to may depend on factors such as the request from the remote user, context sensors and usage data.

Abstract: Methods and systems for conserving power using predictive models and signaling are described. Parameters of a power management policy are set based on predictions based on user activity and/or signals received from a remote computer which define a user preference. In an embodiment, the power management policy involves putting the computer into a sleep state and periodically waking it up. On waking, the computer determines whether to remain awake or to return to the sleep state dependent upon the output of a predictive model or signals that encode whether a remote user has requested that computer remain awake. Before returning to the sleep state, a wake-up timer is set and this timer triggers the computer to subsequently wake-up. The length of time that the timer is set to may depend on factors such as the request from the remote user, context sensors and usage data.

Abstract: A multi-layered network for transporting data comprises a first network layer that provides a first session topology, and a second network layer that provides a second session topology. The second network layer uses the first network layer to transport data. In one embodiment of the invention, the data sent by the second layer is real-time audio data, such as voice. Each session topology may be either peer-to-peer or client/server. The first and second layers may have different topologies and/or different session hosts. A deterministic algorithm is provided whereby a new session host is selected when the current host leaves the session.

Abstract: A game hosting service manages game sessions and groups of players. The service creates, starts, and ends a game session. The service also manages the joining and deleting of players and groups of players both prior to and during game play. The service collects, stores, and optionally arbitrates statistics for each player such a game score and relative ranking with other players. The service assigns a group ID to a group of players to allow the group to migrate across game sessions. The game hosting service utilizes session management APIs to nest multiple sessions, thus enabling groups of players to remain intact across multiple sessions.

Abstract: A social matchmaking service selects matches of on-line game players based on personal/social characteristics of the players. The social matching service evaluates several criteria to obtain a list of available, socially compatible, game sessions. Criteria about the player include a player's friends, positive feedback about the player, negative feedback about the player, games completed with other players, players to avoid, and the player's gamer zone, country and language. Criteria about hosts of potentially compatible game sessions are also considered. Social matching utilizes a multi-pass approach, applying rules for prioritizing social criteria at each pass. The multi-pass approach starts with a narrow search and broadens the search at each successive pass. At each successive pass, sessions are added to the list of potential sessions until a reasonable number of sessions is achieved. Game sessions are assigned session values in accordance with affiliations between players.

Abstract: A multi-layered network for transporting data comprises a first network layer that provides a first session topology, and a second network layer that provides a second session topology. The second network layer uses the first network layer to transport data. In one embodiment of the invention, the data sent by the second layer is real-time audio data, such as voice. Each session topology may be either peer-to-peer or client/server. The first and second layers may have different topologies and/or different session hosts. A deterministic algorithm is provided whereby a new session host is selected when the current host leaves the session.

Abstract: Methods and systems for dynamically adjusting the length of delay before playback as a function of the amount of transmission jitter is disclosed, whereby a target error rate is received, error rates at different delays are tracked and current delay is adjusted as a function of tracked error rates.

Abstract: Methods and systems for dynamically adjusting the length of delay before playback as a function of the amount of transmission jitter is disclosed, whereby a target error rate is received, error rates at different delays are tracked and current delay is adjusted as a function of tracked error rates.

Abstract: A rake receiver with a finger for each of a plurality of multipath components displaced in time has provision for predicting short-term variations in the strength of each component and adapting the coefficients of each finger accordingly, thus reducing the error rate, particularly in high-data-rate applications in a time-variant environment.

Abstract: A CDMA modem with dynamically allocatable demodulation and modulation, encoding/interleaving and decoding/de-interleaving for multiple resources users is provided. Each component is individually configurable to function as any one of various physical layer channel types for one or more different CDMA standards.