Abstract: A method for identifying at least one nuclear threat to homeland security, wherein such each nuclear threat is either hidden inside at least one cargo container before transit, or is placed inside at least one cargo container while in transit. Each such nuclear threat while interacting with its surroundings generates a unique nuclear threat signature.

Abstract: A method and system for encoding and decoding an input signal in relation to the most perceptually relevant aspects of the input signal. A two-dimensional (2D) transform is applied to the input signal to produce a magnitude matrix and a phase matrix that can be inverse quantized by a decoder. A first column of coefficients of the magnitude matrix represents a mean spectral density (MSD) function of the input signal. Relevant aspects of the MSD function are encoded at a beginning of a data packet. The MSD function is also processed through a core perception model to determine bit allocation. The matrices are then quantized and priority ordered into a data packet, with the least perceptually relevant information at the end of the packet so that it may be ignored or truncated for scalability to the channel data rate capacity.

Abstract: A method and system for encoding and decoding an input signal in relation to the most perceptually relevant aspects of the input signal. A two-dimensional (2D) transform is applied to the input signal to produce a magnitude matrix and a phase matrix that can be inverse quantized by a decoder. A first column of coefficients of the magnitude matrix represents a mean spectral density (MSD) function of the input signal. Relevant aspects of the MSD function are encoded at a beginning of a data packet. The MSD function is also processed through a core perception model to determine bit allocation. The matrices are then quantized and priority ordered into a data packet, with the least perceptually relevant information at the end of the packet so that it may be ignored or truncated for scalability to the channel data rate capacity.

Abstract: An optical neural net, content addressable memory that does not include electronics or slow optics in the feedback path. The memory comprises an optical vector-matrix multiplier that includes a spatial light modulator and input and output optics, and optical feedback means for returning the outputs of the multiplier to the inputs. Presentation of partial data at selected inputs causes the neural net to iterate at light speed to determine the corresponding output data. An arrangement is described for providing bipolar operations and for letting any group of elements act as the net stimulus.