Abstract: The present invention relates to methods of positioning a node in a cellular system. The invention discloses estimation of one or more positioning parameters and determination of inter parameter associations. The one or more positioning parameters for one or more path includes Time of Arrival (ToA), Angle of Arrival (AoA). Angle of Departure (AoD), and Doppler. The present invention also discloses methods of estimation of positioning parameters using beam direction and channel estimation. The invention further discloses a method for calibration of antenna, clock and hardware offsets. The present invention discloses methods of prediction of guard bands for utilization of contiguous frequency bands for estimation of channel. The methods of beam prediction and beam tracking. One or more of these methods may be used for positioning the user equipment.

Abstract: Techniques are described herein for processing data. For instance, a process can include receiving input data by a symmetrical processing engine of two or more symmetrical processing engines coupled to an auxiliary processing engine. The process can further include receiving an indication to process the input data using a module of the auxiliary processing engine, transmitting output data to the auxiliary processing engine, receiving processed data from the auxiliary processing engine, further processing the processed data in one or more portions of a pipeline of modules of the symmetrical processing engine, and outputting the further processed data.

Abstract: A method of interference measurement for power management in an integrated access and backhaul (IAB) network. The method includes: requesting, by a Reference IAB node, configuration of a Downlink-Reference Signal (DL-RS) for measurement of interference, to one of: a Parent IAB node, by sending a trigger from a Mobile Termination (MT) of the Reference IAB node, and a Donor IAB node, by sending a request for instruction to the Parent IAB node for the configuration of the DL-RS, from a Distributed Unit (DU) of the Reference IAB node. The method also includes signaling, by the Parent IAB node, a configuration information of at least one of a periodic DL-RS, aperiodic DL-RS and semi-periodic DL-RS, to one of the MT of the Reference IAB node and DU of the Reference IAB node.

Abstract: Disclosed are systems, apparatuses, processes, and computer-readable media to capture images with subjects at different depths of fields. For instance, a method of processing image data includes obtaining a first image captured using an image sensor with a first exposure. The method may further include obtaining a second image captured using the image sensor with a second exposure. The method may include compressing the second image based on a comparison of the second image with the first image and storing the compressed second image in a memory. The method may further include obtaining the compressed second image from the memory and decompressing the compressed second image based on a difference between the compressed second image and the first image. The method may further include generating a combined image at least in part by combining the first image and the second image.

Abstract: Systems and techniques are provided for generating an HDR image. An example method can include obtaining a first image and a second image that has an exposure that is greater than an exposure of the first image; setting pixels of the first image that are below a minimum threshold to a minimum value and pixels of the second image that are above a maximum threshold to a maximum value; retrieving, from memory, a compressed version of the first image with the pixels set to the minimum value and a compressed version of the second image with the pixels set to the maximum value; generating a first decompressed image including the first image with the pixels set to the minimum value and a second decompressed image including the second image with the pixels set to the maximum value; and generating an HDR image based on the first and second decompressed images.

Abstract: Systems and techniques are provided for generating an HDR image. An example method can include obtaining a first image and a second image that has an exposure that is greater than an exposure of the first image; setting pixels of the first image that are below a minimum threshold to a minimum value and pixels of the second image that are above a maximum threshold to a maximum value; retrieving, from memory, a compressed version of the first image with the pixels set to the minimum value and a compressed version of the second image with the pixels set to the maximum value; generating a first decompressed image including the first image with the pixels set to the minimum value and a second decompressed image including the second image with the pixels set to the maximum value; and generating an HDR image based on the first and second decompressed images.