Abstract: A reconfigurable compute engine interconnect fabric includes a reconfigurable interconnect layer (24, FIG. 2) between an application layer (22) and a physical layer (26) which identifies the input and output pins for the engine and their functions.
Type:
Grant
Filed:
August 24, 2009
Date of Patent:
April 2, 2013
Assignee:
Wisterium Development LLC
Inventors:
Matthew J. Thiele, Robert P. Boland, Peter O. Luthi
Abstract: An optical data processing network having an optical network interface is disclosed. The optical data processing network includes a first multi-processor system and a second multi-processor system. The first multi-processor system includes a first set of processors and a first set of optical network interfaces electrically coupled to the first set of processors. Similarly, the second multi-processor system includes a second set of processors and a second set of optical network interfaces electrically coupled to the second set of processors. An optical cable is connected between the first set and the second set of optical network interfaces. The first multi-processor system communicates with the second multi-processor system via the optical cable.
Abstract: A signal intelligence system comprising a plurality of software components that are programmable to provide a signal intelligence function. The signal intelligence system includes a processor system having a plurality of interconnected processor devices and a plurality of processor managers that are connected to the processor devices and are configured to control software components associated with the processor devices. Further, the signal intelligence system has a framework manager that is configured to interact with the plurality of processor managers to control the processor devices and effectuate the signal intelligence function.
Type:
Grant
Filed:
April 14, 2009
Date of Patent:
January 10, 2012
Assignee:
Wisterium Development LLC
Inventors:
Robert P. Boland, Peter Simonson, Jeffrey F. Bryant, Douglas K. Dalrymple, David R Wardwell
Abstract: A method of operating a multi-level security system including the steps of providing a plurality of processors. At least some of said processors are equipped with a data card which permits simultaneous processing of different classification levels of information and the dynamic reallocation of processors to different classification levels.
Abstract: At least two receiver sets are provided. A data processor is in communication with the receiver sets, wherein the data processor tags position data and radio frequency emission data from the receiver sets. A data storage unit is in communication with the data processor and is at least capable of storing tagged data. A processing unit is capable of processing the tagged data. The processing unit defines a search grid within which to search for the source of the radio frequency emission. The processing unit motion compensates the tagged data separately for each point on the grid. The processing unit assigns a value to each grid point based on a phase coherence of the motion compensated data. The processing unit determines a location within the grid having a highest assigned value, thereby determining the source of the radio frequency emission.
Abstract: A linear detection method for determining correlation values associated with an estimated Pulse Repetition Interval (PRI) executed by a linear detection module of a correlation mask disposed on a digital signal processor is provided comprising: determining a correlation spread associated with a vector of Times-of-Arrival (TOA) data; determining a delta spread associated with the correlation spread; determining a first/next estimated PRI associated with the vector of TOA data; determining a first/next estimated PRI vector based on the first/next estimated PRI; determining a delta vector based on the first/next estimated PRI vector; determining a correlation weights vector based on the delta vector; determining a first/next correlation value based on the correlation weights vector; and in response to there being no additional PRIs to estimate, searching the correlation values for a highest correlation.