Abstract: A system for computational imaging spectroscopy to provide compact and lightweight design, as well as large field of view of an object to be captured. The system includes imaging components, and computational device. The imaging components includes lens assembly, a fixed or variable-diameter aperture, spectral filter array and imaging sensor. The lens assembly provides wide angle of view, image-side telecentricity, and further may correct for longitudinal chromatic aberrations. The lens assembly may not provide correction of lateral chromatic aberrations. Furthermore, the lens assembly provides image-space telecentricity so as to chief rays are incident perpendicular to image sensor. The lens assembly may produce different chromatic aberrations pattern for each wavelength within the spectral range of interest.

Abstract: A system for computational imaging spectroscopy to provide compact and lightweight design, as well as large field of view of an object to be captured. The system includes imaging components, and computational device. The imaging components includes lens assembly, a fixed or variable-diameter aperture, spectral filter array and imaging sensor. The lens assembly provides wide angle of view, image-side telecentricity, and further may correct for longitudinal chromatic aberrations. The lens assembly may not provide correction of lateral chromatic aberrations. Furthermore, the lens assembly provides image-space telecentricity so as to chief rays are incident perpendicular to image sensor. The lens assembly may produce different chromatic aberrations pattern for each wavelength within the spectral range of interest.

Abstract: A plant system (100), comprising a plurality of plants (102) in a substrate (101); a mycorrhizal fungal community (104) in the substrate arranged to form a biological interface with roots of the plants enabling an exchange of chemical substances between the fungus and the plurality of plants; and at least a sensor (207), which interfaces with said mycorrhizal fungal community and is configured to collect sensory information about a physiological condition and phenotypic state of said plurality of plants.

Abstract: The present disclosure relates to methods and devices for a systemic approach to plant-based ecosystem management, including for juxtaposing, processing, organising, and visualizing data relevant to plant-based ecosystems, such as agricultural ecosystems, and delineating external interventions into such systems, such as human interventions, including those with automated machines. Recognizing the time-based—for example, seasonal—nature of plant-based ecosystems, this invention) juxtaposes relevant—but often previously dispersed—data types, 2) organizes them in tensors of customizable dimensions so as to facilitate modeling and in particular deep neural network and other deep machine learning and artificial intelligence approaches that take into account time-based, or other variable-based, changes to identify areas of interest within given land parcels, and 3) visualizes the data so as to highlight time-based, or other variable-based, relationships and trends.

Abstract: A method for obtaining spectral imaging data comprises at least the steps of receiving a sample set of data generated by sampling a spectral property of an image of an object in a spatial basis, wherein the sampling of the spectral property of the image of the object comprises providing a Spectral Filter Array (SFA) by arranging a plurality of SFA elements together to form a surface; configuring each SFA element of the plurality of SFA elements to filter one or more spectral bandwidths centered each at specific wavelengths corresponding to that SFA element, whereby all of the plurality of SFA elements taken together cover a determined spectral range; and setting the specific wavelengths of each SFA element of the plurality of SFA elements on the surface such to obtain a uniform and aperiodic spatial distribution of all of the plurality of SFA elements across the surface.

Abstract: A method for obtaining spectral imaging data comprises at least the steps of receiving a sample set of data generated by sampling a spectral property of an image of an object in a spatial basis, wherein the sampling of the spectral property of the image of the object comprises providing a Spectral Filter Array (SFA) by arranging a plurality of SFA elements together to form a surface; configuring each SFA element of the plurality of SFA elements to filter one or more spectral bandwidths centered each at specific wavelengths corresponding to that SFA element, whereby all of the plurality of SFA elements taken together cover a determined spectral range; and setting the specific wavelengths of each SFA element of the plurality of SFA elements on the surface such to obtain a uniform and aperiodic spatial distribution of all of the plurality of SFA elements across the surface.

Abstract: A technique of reducing the Peak-to-Average Power Ratio (PAPR) of Multi-Carrier (MC) modulated signals in which peaks in the baseband signal that lie above a threshold amplitude are detected and used to generate a pulse sequence signal which, after shaping, is subtracted from the baseband signal to reduce its PAPR. The method is spectrally efficient, has a low degree of implementation complexity and hence it is also suitable for low-power, portable implementation. Moreover, it is compatible with existing standard-based Orthogonal Frequency Division Multiplex (OFDM) systems. As an example of the performance of the proposed scheme, the amplifier back-off requirement in a Terrestrial Digital Video Broadcast (DVB-T) system can be reduced from 12 to 6 dB, while satisfying the of out-of-band emission specifications imposed by the Federal Communications Commission (FCC) spectral mask.

Abstract: A technique of reducing the Peak-to-Average Power Ratio (PAPR) of Multi-Carrier (MC) modulated signals in which peaks in the baseband signal that lie above a threshold amplitude are detected and used to generate a pulse sequence signal which, after shaping, is subtracted from the baseband signal to reduce its PAPR. The method is spectrally efficient, has a low degree of implementation complexity and hence it is also suitable for low-power, portable implementation. Moreover, it is compatible with existing standard-based Orthogonal Frequency Division Multiplex (OFDM) systems. As an example of the performance of the proposed scheme, the amplifier back-off requirement in a Terrestrial Digital Video Broadcast (DVB-T) system can be reduced from 12 to 6 dB, while satisfying the of out-of-band emission specifications imposed by the Federal Communications Commission (FCC) spectral mask.