Sentence examples for signal processing services from inspiring English sources

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Pulse Engineering, based in Hanover, Md., provides information technology and signal processing services to the military and other government agencies.

Configuration data may include, for example, sampling frequency and window size in signal processing services.

The characterization includes internal functions provided to services, some of the common signal processing services used for activity recognition, and node-level reconfiguration time (within a single Titan node).

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To relieve heavy execution and avoid power loss of mobile devices, the acquired physiological signals were redirected to a cloud service performing signal processing.

Services can implement signal processing function, classification tasks, sensor readout, or other kinds of processing.

This paper describes the viewpoints selected for developing the architecture of middleware services and digital signal processing software and provides a general framework for comparing viewpoints.

Based on the performance requirements of the scenario and the sensing, communication, energy, and computation ability of the sensor network, we explore the design space of sensors, signal processing algorithms, communications, networking, and middleware services.

The data transmitting time is correlated to the data rate allocated to service provider by the signal processing cloud operator, which should be a main factor on the queuing service time.

For implementation efficiency, it is also important to treat physical layer service integration from a signal processing point of view.

This technology can benefit patients living at home whose physiological signals need to be monitored continuously, as their cell phones can transmit their physiological signals to a cloud service, which is responsible for signal processing, and remote physicians can access the results via web with a desktop computer or a cell phone.

Leveraging on these findings, affect-aware systems are emerging that dynamically adapt according to the change of user emotions in applications of user interface, health care, education, customer service, intelligent automobile, entertainment, information retrieval and social signal processing [28 33].

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