Abstract: In a noninvasive system for detection/measurement of glucose and other analytes in a medium such as tissue, spectra from the medium are deconstructed into features. Conditioned features, which contain frequency components specific to glucose or the other analytes, are derived from one or more features by modulating a carrier kernel with the feature. The conditioned features are computationally collided with one or more Zyotons that are co-dependent with the conditioned features. One or more collisions amplify a property of the analyte e.g., energy absorbed by glucose in tissue from radiation directed to the skin. A gradient of several values of the amplified property, each value corresponding to a particular radiation pattern according to a spectroscopic tomographic sequence, is used to select a suitable projector curve, with which a representative amplified value is projected to an accurate estimate of the concentration of glucose or the other analytes, without needing personalized calibration.

Abstract: A noninvasive analyzer apparatus and method of use thereof is described using a plurality of time resolved sample illumination zones coupled to at least one two-dimensional detector array monitoring a plurality of detection zones. Control of illumination times and/or patterns along with selected detection zones yields pathlength resolved groups of spectra. Sectioned pixels and/or zones of the detector are optionally filtered for different light throughput as a function of wavelength. The pathlength resolved groups of spectra are subsequently analyzed to determine an analyte property. Optionally, in the mapping and/or collection phase, incident light is controllably varied in time in terms of any of: sample probe position, incident light solid angle, incident light angle, depth of focus, energy, intensity, and/or detection angle. Optionally, one or more physiological property and/or model property related to a physiological property is used in the analyte property determination.

Abstract: A noninvasive analyzer apparatus and method of use thereof is described using a plurality of time resolved sample illumination zones coupled to at least one two-dimensional detector array monitoring a plurality of detection zones. Control of illumination times and/or patterns along with selected detection zones yields pathlength resolved groups of spectra. Sectioned pixels and/or zones of the detector are optionally filtered for different light throughput as a function of wavelength. The pathlength resolved groups of spectra are subsequently analyzed to determine an analyte property. Optionally, in the mapping and/or collection phase, incident light is controllably varied in time in terms of any of: sample probe position, incident light solid angle, incident light angle, depth of focus, energy, intensity, and/or detection angle. Optionally, one or more physiological property and/or model property related to a physiological property is used in the analyte property determination.

Abstract: A noninvasive analyzer apparatus and method of use thereof is described using a sample mapping phase to establish one or more analyzer/software parameters used in a subsequent individual and/or group specific data collection phase. For example, in the sample mapping phase distance between incident and collected light is varied as a function of time for collected noninvasive spectra. Spectra collected in the sample mapping phase are analyzed to determine a physiological property of the subject, such as dermal thickness, hydration, collagen density, epidermal thickness, and/or subcutaneous fat depth. Using the physiological property or measure thereof, the analyzer is optically reconfigured for the individual to yield subsequent spectra having enhanced features for noninvasive analyte property determination.

Abstract: An analyzer apparatus and method of use thereof is configured to dynamically interrogate a sample. For example, an analyzer using light interrogates a tissue sample using a temporal resolution system on a time scale of less than about one hundred nanoseconds. Optionally, near-infrared photons are introduced to a sample with a known illumination zone to detection zone distance allowing calculation of parameters related to photon pathlength in tissue and/or molar absorptivity of an individual or group through the use of the speed of light and/or one or more indices of refraction. Optionally, more accurate estimation of tissue properties are achieved through use of: knowledge of incident photon angle relative to skin, angularly resolved detector positions, anisotropy, skin temperature, environmental information, information related to contact pressure, blood glucose concentration history, and/or a skin layer thickness, such as that of the epidermis and dermis.

Abstract: An analyzer apparatus and method of use thereof is described to dynamically irradiate a sample with incident light where the incident light is varied in time in terms of any of: position, radial position relative to a point of the skin of a subject, solid angle, incident angle, depth of focus, energy, and/or intensity. For example, the incident light is varied in radial position as a function of time relative to one or more of a sample site, a point on skin of the subject, a detection optic, and/or a sample volume observed by a detection system. The radially varied incident light is used to enhance and/or vary light probing the epidermis, the dermis, and/or the subcutaneous fat of the subject or of a group of subjects.

Abstract: A noninvasive analyzer apparatus and method of use thereof is described comprising a near-infrared source, a non-uniform detector array, and a photon transport system configured to direct photons from the source to the detector via an analyzer-sample optical interface. The non-uniform detector array provides a multitude of distinguishable optical pathlengths, couples to a plurality of optical transmission filters, couples to a plurality of light directing micro-optics, and/or couples to an array of light-emitting diodes.

Abstract: Application of nonlinear resonance interferometry is introduced as a new geophysical approach to improve predictability in characterization of subsurface microseismic event analysis and propagation of fracture. In contrast to reflection methods that remove random information noise, nonlinear resonance interferometry exploits the full microseismic acquisition spectrum. In some examples, systems and techniques implement novel computational interactions between acquired microseismic wavefield attributes and a nonlinear system in software to amplify distortions in microseismic noise and exploits injection of synthetic noise, in software format, to fracture events.

Abstract: Incoming data from, for example, an array of detectors, may be received. A dynamical system may be initialized corresponding to a modality of the incoming data so that a measurement probe based on the initialized dynamical system may be generated. Such a measurement probe may be injected into a quantum mechanical system so that it may be determined whether the injection of the measurement probe into the quantum mechanical system results in a collapse of the quantum mechanical system. Thereafter, it may be determined that a signal is present within the incoming data if the quantum mechanical system collapses. Related methods, apparatuses, systems, and computer-program products are also described.

Abstract: Application of nonlinear resonance interferometry is introduced as a new geophysical approach to improve predictability in characterization of subsurface microseismic event analysis and propagation of fracture. In contrast to reflection methods that remove random information noise, nonlinear resonance interferometry exploits the full microseismic acquisition spectrum. In some examples, systems and techniques implement novel computational interactions between acquired microseismic wavefield attributes and a nonlinear system in software to amplify distortions in microseismic noise and exploits injection of synthetic noise, in software format, to fracture events.

Abstract: Application of nonlinear resonance interferometry is introduced as a new geophysical approach to improve predictability in characterization of subsurface porosity, rock and fluid properties. In contrast to reflection methods that remove random information noise, nonlinear resonance interferometry exploits the full seismic acquisition spectrum to assess how low frequency and high-frequency noise is differentially and directly modulated by varying levels of porosity and hydrocarbon content in the lithologies of interest. In some examples, systems and techniques implement novel computational interactions between acquired seismic wavefield attributes and a nonlinear system in software to amplify distortions in seismic noise and exploits injection of synthetic noise, in software format, to detect hydrocarbon traps and lithology changes at spatial scales below seismic resolution, thereby increasing the information value of low-resolution data.

Abstract: Incoming data from, for example, an array of detectors, may be received. A dynamical system may be initialized corresponding to a modality of the incoming data so that a measurement probe based on the initialized dynamical system may be generated. Such a measurement probe may be injected into a quantum mechanical system so that it may be determined whether the injection of the measurement probe into the quantum mechanical system results in a collapse of the quantum mechanical system. Thereafter, it may be determined that a signal is present within the incoming data if the quantum mechanical system collapses. Related methods, apparatuses, systems, and computer-program products are also described.

Abstract: Systems and apparatus related to quantum resonance interferometry for detecting signals are described. A first signal is interferometrically coupled with a first quantum mechanical function to generate a first tunneling rate; a second signal is interferometrically coupled with a second quantum mechanical function to generate a second tunneling rate; the first tunneling rate and the second tunneling rate are interferometrically coupled to generate a third tunneling rate; and upon determining that the third tunneling rate is greater than a threshold, the second signal is identified as corresponding to the first signal.

Abstract: Techniques and systems are disclosed for electronic target recognition. In particular, techniques and systems are disclosed for performing electronic surveillance and target recognition using a multiple parallax exploitation (MPEX) electronic eye platform. Among other things, a MPEX system can include an imaging unit that includes multiple image capture devices spaced from one another to form an array to provide overlapping fields-of-view and to capture multiple overlapping stereo images of a scene. The MPEX system can also include a processing unit connected to the imaging unit to receive and process data representing the captured multiple overlapping stereo images from the imaging unit to characterize one or more objects of interest in the scene.

Abstract: Application of nonlinear resonance interferometry is introduced as a new geophysical approach to improve predictability in characterization of subsurface microseismic event analysis and propagation of fracture. In contrast to reflection methods that remove random information noise, nonlinear resonance interferometry exploits the full microseismic acquisition spectrum. In some examples, systems and techniques implement novel computational interactions between acquired microseismic wavefield attributes and a nonlinear system in software to amplify distortions in microseismic noise and exploits injection of synthetic noise, in software format, to fracture events.

Abstract: Application of nonlinear resonance interferometry is introduced as a new geophysical approach to improve predictability in characterization of subsurface porosity, rock and fluid properties. In contrast to reflection methods that remove random information noise, nonlinear resonance interferometry exploits the full seismic acquisition spectrum to assess how low frequency and high-frequency noise is differentially and directly modulated by varying levels of porosity and hydrocarbon content in the lithologies of interest. In some examples, systems and techniques implement novel computational interactions between acquired seismic wavefield attributes and a nonlinear system in software to amplify distortions in seismic noise and exploits injection of synthetic noise, in software format, to detect hydrocarbon traps and lithology changes at spatial scales below seismic resolution, thereby increasing the information value of low-resolution data.

Abstract: A novel method and software system design are presented for interchanging sensors from different vendors in a plug and play manner to drive mission critical applications within a sensor based architecture, policy based framework, event-based architecture. This technique is applicable to sensors directly attached to a computer, or sensors attached to a network, or sensors attached to a controller node which is attached to a network or directly attached to a computer.

Abstract: A computer-implemented method for signal analysis includes receiving a first signal, receiving a second signal, coupling the first signal with a first function generated from a first quantum mechanical system to generate a first tunneling rate, coupling the second signal with a second function generated from a second quantum mechanical system to generate a second tunneling rate, coupling the first tunneling rate with a third function generated from a third quantum mechanical system, coupling the second tunneling rate with the third function, obtaining a third tunneling rate, and upon determining that the third tunneling rate is greater than a threshold, identifying that the second signal corresponds to the first signal.

Abstract: Techniques and systems are disclosed for electronic target recognition. In particular, techniques and systems are disclosed for performing electronic surveillance and target recognition using a multiple parallax exploitation (MPEX) electronic eye platform. Among other things, a MPEX system can include an imaging unit that includes multiple image capture devices spaced from one another to form an array to provide overlapping fields-of-view and to capture multiple overlapping stereo images of a scene. The MPEX system can also include a processing unit connected to the imaging unit to receive and process data representing the captured multiple overlapping stereo images from the imaging unit to characterize one or more objects of interest in the scene.

Abstract: Systems and techniques for analyzing information gathered by multiple analytical techniques. In one aspect, a method includes receiving analytical information, gathered by multiple analytical techniques, regarding a sample, receiving expectations regarding a sample parameter, and estimating a value of the sample parameter based on the analytical information and the expectations regarding the sample parameter.