Abstract: A diffractive optical element configured as a lens having such an aperture function that causes light incident onto such lens to form a multiplicity of focal points (whether real or virtual) that do not lie along the same axis transverse to the surface of such lens, thereby simultaneously forming a multiplicity of spatially-independent optical images distributed transversely to a normal drawn to a surface of such lens. A method of using such diffractive optical element.

Abstract: A method performed by a photonics processing system includes encoding an input vector into first optical signals; performing an optical scattering of the first optical signals to form second optical signals, the optical scattering implementing a matrix multiplication of the input vector by a quasi-random matrix; detecting at least a portion of the second optical signals representing an output vector; and encoding the second optical signals in an electrical representation of the output vector.

Abstract: Systems, devices and methods with improved wave front sensing and detection capabilities are described. One example wave front sensor includes a lenslet array that receives an incoming wave front, and a mask that is positioned at a focal plane of the lenslet array to receive and filter a Fourier transformed wave front that is produced by the first lenslet array at the focal plane. Each section of the mask receives light from a corresponding lens of the lenslet array and is configured to produce a reference wave front and to allow a portion of the Fourier transformed wave front to be transmitted or reflected. The wave front sensor also includes a sensor array having a plurality of light sensitive detectors that is positioned to receive the two wave fronts and to detect an intensity value representative of a phase of the incoming wave front.

Abstract: A diffractive optical element configured as a lens having such an aperture function that causes light incident onto such lens to form a multiplicity of focal points (whether real or virtual) that do not lie along the same axis transverse to the surface of such lens, thereby simultaneously forming a multiplicity of spatially-independent optical images distributed transversely to a normal drawn to a surface of such lens. A method of using such diffractive optical element.

Abstract: Systems, devices and methods with improved wave front sensing and detection capabilities are described. One example wave front sensor includes a lenslet array that receives an incoming wave front, and a mask that is positioned at a focal plane of the lenslet array to receive and filter a Fourier transformed wave front that is produced by the first lenslet array at the focal plane. Each section of the mask receives light from a corresponding lens of the lenslet array and is configured to produce a reference wave front and to allow a portion of the Fourier transformed wave front to be transmitted or reflected. The wave front sensor also includes a sensor array having a plurality of light sensitive detectors that is positioned to receive the two wave fronts and to detect an intensity value representative of a phase of the incoming wave front.

Abstract: Various embodiments of a spray measurement system having a jig device that allows measuring spray output of one or more spray nozzles and determine spray distribution patterns of the spray nozzles are disclosed.

Abstract: Disclosed herein are mass spectrometers having segmented electrodes and associated methods. According to an aspect, an apparatus or mass spectrometer includes an ion source configured to generate ions from a sample. The apparatus also includes a detector configured to detect a plurality of mass-to-charge ratios associated with the ions. Further, the apparatus includes segmented electrodes positioned between the ion source and the detector. The apparatus also includes a controller configured to selectively apply a voltage across the segmented electrodes for forming a predetermined electric field profile.

Abstract: Various embodiments of a spray measurement system having a jig device that allows measuring spray output of one or more spray nozzles and determine spray distribution patterns of the spray nozzles are disclosed.

Abstract: Various embodiments of a spray measurement system having a jig device that allows measuring spray output of one or more spray nozzles and determine spray distribution patterns of the spray nozzles are disclosed.

Abstract: Various embodiments of a spray measurement system having a jig device that allows measuring spray output of one or more spray nozzles and determine spray distribution patterns of the spray nozzles are disclosed.

Abstract: Compressive imaging captures images in compressed form, where each sensor does not directly correspond with a pixel, as opposed to standard image capture techniques. This can lead to faster image capture rates due to lower I/O bandwidth requirements, and avoids the need for image compression hardware, as the image is captured in compressed form. Measuring the transformation of an emitted multimodal signal is one method of compressive imaging. Metamaterial antennas and transceivers are well suited for both emitting and receiving multimodal signals, and are thus prime candidates for compressive imaging.

Abstract: Compressive imaging captures images in compressed form, where each sensor does not directly correspond with a pixel, as opposed to standard image capture techniques. This can lead to faster image capture rates due to lower I/O bandwidth requirements, and avoids the need for image compression hardware, as the image is captured in compressed form. Measuring the transformation of an emitted multimodal signal is one method of compressive imaging. Metamaterial antennas and transceivers are well suited for both emitting and receiving multimodal signals, and are thus prime candidates for compressive imaging.

Abstract: Disclosed herein are mass spectrometers having segmented electrodes and associated methods. According to an aspect, an apparatus or mass spectrometer includes an ion source configured to generate ions from a sample. The apparatus also includes a detector configured to detect a plurality of mass-to-charge ratios associated with the ions. Further, the apparatus includes segmented electrodes positioned between the ion source and the detector. The apparatus also includes a controller configured to selectively apply a voltage across the segmented electrodes for forming a predetermined electric field profile.

Abstract: Multi-sensor compressive imaging systems can include an imaging component (such an an RF, microwave, or mmW metamaterial surface antenna) and an auxiliary sensing component (such as an EO/IR sensor). In some approaches, the auxiliary sensing component includes a structured light sensor configured to identify the location or posture of an imaging target within a field of view of the imaging component. In some approaches, a reconstructed RF, microwave, or mmW image may be combined with a visual image of a region of interest to provide a multi-spectral representation of the region of interest.

Abstract: A content extraction system can analyze a network data stream communicated among nodes of a network. The content extraction system can include non-transitory computer storage configured to store at least a portion of the network data stream and a hardware processor in communication with the non-transitory computer storage. The hardware processor can be programmed to access the at least a portion of the network data stream, apply a machine learning technique to the at least a portion of the network data stream to extract an information content, and store the information content in the non-transitory computer storage. In various implementations, the content extraction system can be applied to geographic information services, prescription medication information, or the Internet of Things.

Abstract: Compressive imaging captures images in compressed form, where each sensor does not directly correspond with a pixel, as opposed to standard image capture techniques. This can lead to faster image capture rates due to lower I/O bandwidth requirements, and avoids the need for image compression hardware, as the image is captured in compressed form. Measuring the transformation of an emitted multimodal signal is one method of compressive imaging. Metamaterial antennas and transceivers are well suited for both emitting and receiving multimodal signals, and are thus prime candidates for compressive imaging.

Abstract: Multi-sensor compressive imaging systems can include an imaging component (such an an RF, microwave, or mmW metamaterial surface antenna) and an auxialiary sensing component (such as an EO/IR sensor). In some approaches, the auxiliary sensing component includes a structured light sensor configured to identify the location or posture of an imaging target within a field of view of the imaging component. In some approaches, a reconstructed RF, microwave, or mmW image may be combined with a visual image of a region of interest to provide a multi-spectral representation of the region of interest.

Abstract: Compressive imaging captures images in compressed form, where each sensor does not directly correspond with a pixel, as opposed to standard image capture techniques. This can lead to faster image capture rates due to lower I/O bandwidth requirements, and avoids the need for image compression hardware, as the image is captured in compressed form. Measuring the transformation of an emitted multimodal signal is one method of compressive imaging. Metamaterial antennas and transceivers are well suited for both emitting and receiving multimodal signals, and are thus prime candidates for compressive imaging.

Abstract: Multi-sensor compressive imaging systems can include an imaging component (such an RF, microwave, or mmW metamaterial surface antenna) and an auxiliary sensing component (such as an EO/IR sensor). In some approaches, the auxiliary sensing component includes a structured light sensor configured to identify the location or posture of an imaging target within a field of view of the imaging component. In some approaches, a reconstructed RF, microwave, or mmW image may be combined with a visual image of a region of interest to provide a multi-spectral representation of the region of interest.

Abstract: Compressive imaging captures images in compressed form, where each sensor does not directly correspond with a pixel, as opposed to standard image capture techniques. This can lead to faster image capture rates due to lower I/O bandwidth requirements, and avoids the need for image compression hardware, as the image is captured in compressed form. Measuring the transformation of an emitted multimodal signal is one method of compressive imaging. Metamaterial antennas and transceivers are well suited for both emitting and receiving multimodal signals, and are thus prime candidates for compressive imaging.