Abstract: A method for image classification includes accessing a plurality of images of at least a portion of a gastrointestinal tract (GIT) captured by a capsule endoscopy device and for each image of the plurality of images: providing a classification score for each segment of a plurality of consecutive segments of the GIT by a deep learning neural network, and providing a classification probability for each segment of the plurality of consecutive segments of the GIT based on the classification scores by a classical machine learning classifier. The method further includes determining a classification for each image to one segment of the plurality of consecutive segments of the GIT based on processing a signal corresponding to the classification probabilities of the plurality of images.

Abstract: An optimization unit controls electrical currents of a set of electromagnets to generate a wanted maneuvering magnetic field pattern (MMP) for moving an in-vivo device in the GI system. The optimization unit may calculate a magnetic force and a magnetic field to maneuver the in-vivo device from a current location and/or orientation to a new location and/or orientation. The optimization unit may solve a magnetic force optimization problem with respect to the magnetic force in order to determine electrical currents suitable for generating the wanted MMP. The optimization unit may additionally or alternatively solve a minimum electrical power optimization problem with respect to the electrical power to be consumed by the electromagnets in order to recalculate or adjust the electrical currents. The optimization unit may solve one or more of the optimization problems while complying with a set of constraints associated with or derived from each type of optimization objective.

Abstract: An optimization unit controls electrical currents of a set of electromagnets to generate a wanted maneuvering magnetic field pattern (MMP) for moving an in-vivo device in the GI system. The optimization unit may calculate a magnetic force and a magnetic field to maneuver the in-vivo device from a current location and/or orientation to a new location and/or orientation. The optimization unit may solve a magnetic force optimization problem with respect to the magnetic force in order to determine electrical currents suitable for generating the wanted MMP. The optimization unit may additionally or alternatively solve a minimum electrical power optimization problem with respect to the electrical power to be consumed by the electromagnets in order to recalculate or adjust the electrical currents. The optimization unit may solve one or more of the optimization problems while complying with a set of constraints associated with or derived from each type of optimization objective.

Abstract: A ternary coil assembly (TCA) is provided, which may include an anterior coil, a posterior coil adjacently mounted side by side with respect to, and electrically isolated from and forming a plane with, the anterior coil, and an ancillary coil encircling, and electrically isolated from, the anterior and posterior coils. A magnetic field maneuvering system may include a number N of TCAs that may be positioned circularly. The circularly positioned TCAs, by manipulating their electrical current, may be operated to generate a magnetic field maneuvering pattern (MMP) such that a magnetic field may be generated in a first direction to orient a device in that direction, and a magnetic field gradient in a second direction to apply a movement force in the second direction. The direction of the magnetic field and the direction of the magnetic field gradient may differ, that is, they may be controlled independently.

Abstract: A device and method for receiving and processing single carrier and multiple carrier signals through substantially common elements within a receiver that uses a radix 2 FFT on the signal, equalizes both types of signals in the frequency domain and then, for the multiple carrier signal performs a polynomial interpolation to bring the signal to symbol rate and for the single carrier signal performs an IFFT and samples the output to produce a signal at symbol rate.

Abstract: A signal receiver inputs a signal, computes a set of equalizer tap values during a signal acquisition phase by applying an algorithm iteratively to a given set of training data contained within the signal, and uses the set of equalizer tap values to perform signal equalization during the signal acquisition phase. The algorithm includes computing and applying phase correction to the pre-equalized signal at each adaptation step to correct for phase error related to the main path only, of the input signal.

Abstract: A device and method for receiving and processing single carrier and multiple carrier signals through substantially common elements within a receiver that uses a radix 2 FFT on the signal, equalizes both types of signals in the frequency domain and then, for the multiple carrier signal performs a polynomial interpolation to bring the signal to symbol rate and for the single carrier signal performs an IFFT and samples the output to produce a signal at symbol rate.

Abstract: A signal receiver inputs a signal, computes a set of equalizer tap values during a signal acquisition phase by applying an algorithm iteratively to a given set of training data contained within the signal, and uses the set of equalizer tap values to perform signal equalization during the signal acquisition phase. The algorithm includes computing and applying phase correction to the pre-equalized signal at each adaptation step to correct for phase error related to the main path only, of the input signal.