Abstract: The present invention, disclose an endcap comprising: a. a first part being at least partially symmetrical about a main axis, said first part being fused to an optical fiber at a proximal end thereof such that said main axis is alignable with an optical axis of the optical fiber beam; and, b. a second part connecting to said first part at a distal end of said first part, wherein said second part protrudes from said first part, such that said second part forms a protruding bonding area, which is perpendicular to said main axis, for attaching said endcap to a fixture attachment area of a fixture apparatus, said fixture attachment area is perpendicular to said main axis, wherein said endcap is inserted at least partially inside said fixture apparatus, whereby, said endcap keeps said optical fiber beam aligned and minimizes angular diversion from an original alignment.

Abstract: The present invention, disclose an endcap comprising: a. a first part being at least partially symmetrical about a main axis, said first part being fused to an optical fiber at a proximal end thereof such that said main axis is alignable with an optical axis of the optical fiber beam; and, b. a second part connecting to said first part at a distal end of said first part, wherein said second part protrudes from said first part, such that said second part forms a protruding bonding area, which is perpendicular to said main axis, for attaching said endcap to a fixture attachment area of a fixture apparatus, said fixture attachment area is perpendicular to said main axis, wherein said endcap is inserted at least partially inside said fixture apparatus, whereby, said endcap keeps said optical fiber beam aligned and minimizes angular diversion from an original alignment.

Abstract: Various embodiments relate to an apparatus, method and a non-transitory computer readable medium for detecting radio-frequency interference (RFI) and recovering image data in the RFI using Hilbert-Huang Transform (“HHT2-RFI”) configured to apply Empirical Mode Decomposition (“EMD2”) to decompose image data into a plurality of bi-dimensional intrinsic mode functions (“BIMFs”), determine a RFI by entropic interpretation, augment the RFI by applying Hilbert Spectral Analysis (“HSA2”) to the RFI resulting in RFI data points and perform science data recovery by subtracting the amplitudes of the RFI and the RFI data points from the image data.

Abstract: Various embodiments relate to an apparatus, method and a non-transitory computer readable medium for fringe detection and mitigation in an image using Hilbert-Huang Transform (“HHT2-Fringe”) configured to apply Empirical Mode Decomposition (“EMD2”) to a measured light intensity suppression to generate bi-dimensional intrinsic mode functions (“BIMFs”), apply Hilbert Spectral Analysis (“HSA2”) to analyze a plurality of outer fringe bright bands of the BIMFs, propagating the amplitudes of the plurality of outer fringe bright bands of the BIMFs into the center of the image using linear approximation, determine fringe magnitudes of the BIMFs, adding the magnitudes of the BIMFs and subtracting the difference from magnitudes of a petal area of the image.

Abstract: Some embodiments of the present invention pertain to an apparatus, method, and a computer program that is configured to cause a processor to construct an upper envelope and lower envelope for an input image based on a statistically computed window parameter in a real-time system using multi-thread processing, and smooth the upper envelope and lower envelope based on a sum of elements in a window, wherein the sum of elements in the window is divided by a number of non-zero elements in the sum of elements in the window.

Abstract: An improved method for correcting for noise in the digital domain is disclosed. Reference pixel fast-varying components are extracted using a Hilbert-Huang Transform Real-Time Data Processing System (HHT-DPS-RT). The reference pixels are non-photon-detecting pixels in a sensor array. The fast-varying components of the reference pixels are processed in addition to the average over the remaining trend, facilitating additional noise correction for active pixels.

Abstract: An improved method for correcting for noise in the digital domain is disclosed. Reference pixel fast-varying components are extracted using a Hilbert-Huang Transform Real-Time Data Processing System (HHT-DPS-RT). The reference pixels are non-photon-detecting pixels in a sensor array. The fast-varying components of the reference pixels are processed in addition to the average over the remaining trend, facilitating additional noise correction for active pixels.

Abstract: Some embodiments of the present invention pertain to an apparatus, method, and a computer program that is configured to cause a processor to construct an upper envelope and lower envelope for an input image based on a statistically computed window parameter in a real-time system using multi-thread processing, and smooth the upper envelope and lower envelope based on a sum of elements in a window, wherein the sum of elements in the window is divided by a number of non-zero elements in the sum of elements in the window.