Abstract: Image and video processing using multi-scale amplitude-modulation frequency-modulation (“AM-FM”) demodulation where a multi-scale filterbank with bandpass filters that correspond to each scale are used to calculate estimates for instantaneous amplitude, instantaneous phase, and instantaneous frequency. The image and video are reconstructed using the instantaneous amplitude and instantaneous frequency estimates and variable-spacing local linear phase and multi-scale least square reconstruction techniques. AM-FM demodulation is applicable in imaging modalities such as electron microscopy, spectral and hyperspectral devices, ultrasound, magnetic resonance imaging (“MRI”), positron emission tomography (“PET”), histology, color and monochrome images, molecular imaging, radiographs (“X-rays”), computer tomography (“CT”), and others.

Abstract: Apparatus and methods for spectroscopic analysis of human tissue to classify an individual as diabetic or non-diabetic, or to determine the probability, progression or level of diabetes in an individual. Tissue optical information of an individual, including at least a measurement of at least one wavelength or group of wavelengths indicative of glycosylated collagen content in tissue, is analyzed using multivariate techniques. The multivariate techniques include an algorithm developed from optical information from individuals having a known disease state. At least one factor in the algorithm is dependent on or a function of the measurement of the at least one wavelength or group of wavelengths indicative of glycosylated collagen content in tissue from the optical information of individuals forming the database.

Abstract: Apparatus and methods for spectroscopic analysis of human tissue to classify an individual as diabetic or non-diabetic, or to determine the probability, progression or level of diabetes in an individual. Tissue optical information of an individual, including at least a measurement of at least one wavelength or group of wavelengths indicative of glycosylated collagen content in tissue, is analyzed using multivariate techniques. The multivariate techniques include an algorithm developed from optical information from individuals having a known disease state. At least one factor in the algorithm is dependent on or a function of the measurement of the at least one wavelength or group of wavelengths indicative of glycosylated collagen content in tissue from the optical information of individuals forming the database.

Abstract: A frequency-agile, narrow-instantaneous bandwidth radar system detects objects, and discriminates between different types of objects, from a safe stand-off distance. Transmit circuitry transmits a train of continuous wave signals in a multitude of stepped operating frequencies that illuminates the target area. Return signals from the target area are received through at least a pair of spaced-apart receive antennas. Signal receive/processing circuitry coupled to the spaced-apart receive antennas selectively combines and processes the return signals to identify variations in the received signals indicative of the presence of a specific type of object. At each of the stepped frequencies, the system noise and the clutter of the signals is reduced by averaging and smoothing the incoming data and the cross-power spectrum at each frequency is calculated. Using the information of the power spectra of all frequencies, the Mahalanobis distance is defined and the presence and classification of a target is determined.