Abstract: A transducer for use in a structural health monitoring system comprises a single transducer element. The transducer comprises a transmit assembly coupled to the single transducer element. This assembly is configured to produce a multi-cycle square wave drive signal for stimulating the transducer. Additionally, a transmit/receive switch coupled to the single transducer element is provided. This assembly is configured to isolate the drive signal from the receive assembly used to sense the electrical signal generated from any received elastic waves.

Abstract: A method for initializing a chain of non-initialized data collectors is disclosed. The chain of non-initialized data collectors are coupled to a controller. In a first step communication between the controller and each data collector in the chain of non-initialized collectors is disabled, except for an active non-initialized data collector, The active non-initialized collector is coupled to the controller and any remaining non-initialized data collectors. Next, the active non-initialized data collector is initialized by assigning an identification number to the active non-initialized data collectors. The active non-initialized collector becomes an initialized data collector. Then, communication is restored between the initialized data collector and a next active non-initialized data collector in the chain of non-initialized data collectors. The method repeats until all non-initialized data collectors are initialized.

Abstract: A structural health management system is disclosed. The structural health management system comprises a zone of sensors. A first sensor data collector is coupled to a first subset of the sensors in the zone; and a second sensor data collector coupled to a second subset of the sensors in the zone. In the present invention, loss of a sensor data collector does not result in the loss of ability to perform nondestructive testing in an entire zone.

Abstract: The present invention is embodied in a system and method for statistically comparing a first set of digital data to at least a second set of digital data and matching the first set of digital data to appropriately corresponding portions of the second set of digital data. The first or the second set of digital data can be transformed during statistical analysis to enhance statistical analysis of the digital data.

Abstract: The present invention is embodied in a system and method for statistically comparing a first set of digital data to at least a second set of digital data and matching the first set of digital data to appropriately corresponding portions of the second set of digital data. The first or the second set of digital data can be transformed during statistical analysis to enhance statistical analysis of the digital data.

Abstract: Apparatus and systems are provided for dual redundant avionics networks wherein a remote data concentrator (RDC) includes, but is not limited to, a line replaceable unit (LRU) input, a first processing lane coupled to the LRU input, a second processing lane coupled to the LRU input, and a processor coupled to the first processing lane and the second processing lane. The first processing lane has a first output. The second processing lane has a second output. The processor has a link coupling the first processing lane with the second processing lane and is configured to route data from at least one of the first output and the second output to an Ethernet. The link is configured to transfer data between the first processing lane and the second processing lane.

Abstract: A system and methods for implementing histogram computation, for example, into the rasterization pipeline of a 3-D graphics system, are provided. With the histogram computation mechanism, statistical histogram data may be generated for input data of any kind or retrieved from any source that may be specified in a 2-D array or specified in an immediate fashion to specialized data processing hardware. Depending on the nature of the input data, the data may be filtered before passing the data to data processing hardware for further processing. The data processing hardware may then apply an additional function to the input data set before calculation of the histogram data. Then, at some point, the data processing hardware may apply a function to the data to map the derived data to a real-valued function that can then be quantized to a histogram element in the range specified from zero to the number of histogram elements minus one.

Abstract: An imaging or other sensory reproduction system efficiently converts image or other sensory data between a perceptual color space (e.g., the sRGB color space) and a physical color space (unity gamma) or other perceptual/physical sensory models that are related by an expression involving a computationally expensive exponential function. The imaging system calculates exponential functions that can be composed from computationally inexpensive operations, such as square root, square, reciprocal, as well as multiplications and/or additions and subtractions. These computationally less expensive functions are then combined, such as in a weighted and/or offset mean, summation or difference to approximate the computationally expensive exponential function. The imaging system evaluates the expression using the approximation to efficiently yield the converted image data.

Abstract: An imaging or other sensory reproduction system efficiently converts image or other sensory data between a perceptual color space (e.g., the sRGB color space) and a physical color space (unity gamma) or other perceptual/physical sensory models that are related by an expression involving a computationally expensive exponential function. The imaging system calculates exponential functions that can be composed from computationally inexpensive operations, such as square root, square, reciprocal, as well as multiplications and/or additions and subtractions. These computationally less expensive functions are then combined, such as in a weighted and/or offset mean, summation or difference to approximate the computationally expensive exponential function. The imaging system evaluates the expression using the approximation to efficiently yield the converted image data.

Abstract: A system and methods for implementing histogram computation, for example, into the rasterization pipeline of a 3-D graphics system, are provided. With the histogram computation mechanism, statistical histogram data may be generated for input data of any kind or retrieved from any source that may be specified in a 2-D array or specified in an immediate fashion to specialized data processing hardware. Depending on the nature of the input data, the data may be filtered before passing the data to data processing hardware for further processing. The data processing hardware may then apply an additional function to the input data set before calculation of the histogram data. Then, at some point, the data processing hardware may apply a function to the data to map the derived data to a real-valued function that can then be quantized to a histogram element in the range specified from zero to the number of histogram elements minus one.

Abstract: Disclosed are methods and systems for interfaces between video applications and display screens that allow applications to intelligently use display resources of their host device without tying themselves too closely to operational particulars of that host. A graphics arbiter provides display environment information to the video applications and accesses the applications' output to efficiently present that output to the display screen, possibly transforming the output or allowing another application to transform it in the process. The graphics arbiter tells applications the estimated time when the next frame will be displayed on the screen. Applications tailor their output to the estimated display time, thus improving output quality while decreasing resource waste by avoiding the production of “extra” frames. The graphics arbiter tells an application when its output is fully or partially occluded so that the application need not expend resources to draw portions of frames that are not visible.