Abstract: A system and method is provided for performing matrix inverse functions, for example, for use within Space-Time Adaptive Processing (STAP). The methods use parallelism of a Forward/Backward substitution algorithm in two dimensions to increase a speed of execution of the matrix inverse function. Sampled data is combined with steering vector values, which direct antennas in a desired direction in the absence interference, in order to determine adaptive weights used within filters to remove unwanted energy in the sampled data due to jammers, clutter or other interference. The adaptive weights are recursively computed, using stored values of previously calculated adaptive weights and other factor coefficients derived from the sampled data.

Abstract: An electronic computing device including at least one processing unit that implements a specific fault signal upon experiencing an associated fault, a control unit that generates a specific recovery signal upon receiving the fault signal from the at least one processing unit, and at least one input memory unit. The recovery signal initiates specific recovery processes in the at least one processing unit. The input memory buffers input data signals input to the at least one processing unit that experienced the fault during the recovery period.

Abstract: A detector is provided that includes a plurality of layered hemispherically shaped elements. Each element is configured to sense the detection of an event. The detector further includes a lead for each element. Each lead is configured to pass a detection signal when its associate element detects an event.

Abstract: A system and method is provided for performing matrix inverse functions, for example, for use within Space-Time Adaptive Processing (STAP). The methods use parallelism of a Forward/Backward substitution algorithm in two dimensions to increase a speed of execution of the matrix inverse function. Sampled data is combined with steering vector values, which direct antennas in a desired direction in the absence interference, in order to determine adaptive weights used within filters to remove unwanted energy in the sampled data due to jammers, clutter or other interference. The adaptive weights are recursively computed, using stored values of previously calculated adaptive weights and other factor coefficients derived from the sampled data.

Abstract: A detector is provided that includes a plurality of layered hemispherically shaped elements. Each element is configured to sense the detection of an event. The detector further includes a lead for each element. Each lead is configured to pass a detection signal when its associate element detects an event.

Abstract: Systems and methods for self-synchronized data sampling are provided. In one embodiment, a system for capturing synchronous data samples is provided. The system includes an analog to digital converter adapted to capture signals from one or more sensors and convert the signals into a stream of digital data samples at a sampling frequency determined by a sampling control signal; and a synchronizer coupled to the analog to digital converter and adapted to receive a rotational frequency signal from a rotating machine, wherein the synchronizer is further adapted to generate the sampling control signal, and wherein the sampling control signal is based on the rotational frequency signal.