Abstract: A method and apparatus provide digital frequency channelization of a digitally sampled input stream having a first bandwidth.

Abstract: A method and apparatus for fractional digital integration of an input signal is provided, the input signal including a time series of numerical values and the method or apparatus including applying the input signal time series to one input of a two-input summer at a time I, providing an output of the summer to a delay register at time I, providing an output of the delay register from time i?1 to a two-input multiplier, providing an output of the multiplier to the summer at time I, using a resettable counter to determine a value i and index a lookup table with i to provide the indexed value of the lookup table as an input to the multiplier, and obtaining an output signal time series from the output of the summer.

Abstract: A system and method for geolocating an RF emitter disposed on or near the ground includes receiving a signal from the RF emitter at each antenna of an array of N non-collinear antennas, wherein N is an integer greater than 2; routing the signal received at each of the antennas to one of a bank of N corresponding receivers; downconverting the N received signals to N downconverted signals; digitizing the N downconverted signals to digitized signals on N corresponding channels; using a processor to determine phase and amplitude variations across the N channels and to determine a Direction Vector corresponding to the signal received from the RF emitter; using a 2-dimensional pre-determined calibration table to look up a best match to the Direction Vector to determine a Bearing Vector to the RF emitter; transforming the Bearing Vector into locally level reference frame; and geolocating the RF emitter by determining an intersection between the locally level reference frame Bearing Vector and a dataset containing lo

Abstract: An inspection system and method for determining the elemental makeup of contents of an article includes a localizer for identifying at least one region of interest of the article from data representative of contents of the article, the at least one region of interest having a cross-sectional area or a volume that is less than the entire cross-sectional area or the entire volume of the article, an associated particle imaging device that produces an output that is indicative of the elemental makeup of contents of the article, a data selector for selecting a portion of the output of the associated particle imaging device that corresponds to respective identified regions of interest, and an analyzer for analyzing the portions of the output of the associated particle imaging device selected by the data selector to determine the elemental makeup of contents of the article in each identified region of interest.

Abstract: Classification of a potential target is accomplished by receiving image information, detecting a potential target within the image information and determining a plurality of features forming a feature set associated with the potential target. The location of the potential target is compared with a detection database to determine if it is close to an element in the detection database. If not, a single-pass classifier receives a potential target's feature set, classifies the potential target, and transmits the location, feature set and classification to the detection database. If it is close, a fused multi-pass feature determiner determines fused multi-pass features of the potential target and a multi-pass classifier receives the potential target's feature set and fused multi-pass features, classifies the potential target, and transmits its location, feature set, fused multi-pass features and classification to the detection database.

Abstract: A time sequence of raw radar data for a region of space is subdivided into a plurality of processing frames. The processing frames are subdivided into a plurality of processing cells and iteratively processed by selecting a single processing cell for processing, transforming the radar data of the processing cell to form transformed radar data in either the time domain or the Fourier domain. The transformed data is converted to a Power Spectrum Density Matrix in the case of the Fourier domain and a Time Space Correlation Matrix in the case of the time domain. This is smoothed and thresholded and then the clutter for the processing cell is estimated. Estimated local non-speckle clutter is estimated and removed from the transformed radar data, with the cleaned transformed radar data converted back to the time domain if required.