Abstract: Apparatuses and methods include: receiving, by a first electronic device, a signal from a second electronic device on a channel, the received signal modified by a noise, the channel associated with a channel matrix for multiple antennas; buffering antenna data from the multiple antennas; obtaining a noisy channel based on the buffered antenna data and a least squares estimate of the channel matrix; preprocessing the noisy channel jointly across the multiple antennas; inputting the preprocessed noisy channel to a channel estimation model trained to denoise the preprocessed noisy channel; and estimating the channel matrix based on denoising of the preprocessed noisy channel.

Abstract: Distributed precoding computation involves receiving, from UEs served by the base station, UE precoding capability information for UE support of distributed iterative precoding computation or distributed artificial intelligence (AI)-based precoding computation. A precoding computation scheme is determined based on the UE precoding capability information and UE characteristics. Results of local precoding computations by each of the UEs are employed in determining precoders for the UEs. Distributed precoding computation parameters are transmitted to the UEs. The parameters may enable/disable distributed precoding computation, identify a precoding algorithm, or indicate a number of iterations or a maximum iteration time for precoding computation, and the results of local precoding computations may include an updated result after a specific iteration.

Abstract: A method of channel estimation includes: receiving, at a first electronic device, a signal from a second electronic device on a channel, the received signal modified by a noise, the channel associated with a channel matrix; obtaining a noisy channel based on the received signal and a least squares estimate of the channel matrix; preprocessing the noisy channel to remove at least one of a timing offset, a multiuser interference, or an intercell interference; inputting the preprocessed noisy channel to a CE model trained to perform CE based on the preprocessed noisy channel, the CE model comprising residual learning networks; and estimating the channel matrix based on denoising of the preprocessed noisy channel.

Abstract: A method for channel estimation includes: receiving, by a first electronic device, a signal indicative of a state of a channel from a second electronic device, the signal being associated with a channel matrix and corrupted by a noise; obtaining a noisy image of the channel in a first domain, the noisy image being a least squares estimate of the channel matrix; transforming the noisy image into a second domain; and performing channel estimation (CE) of the channel based on (i) the transformed noisy image, (ii) a CE model configured to denoise an input signal, and (iii) a sparsity of channel state information (CSI) in the transformed noisy image in the second domain.

Abstract: A method and electronic device for determining relevant signals in radar signal processing. The electronic device includes a radar transceiver, a memory, and a processor. The processor is configured to cause the electronic device to obtain, via the radar transceiver of the electronic device, radar measurements for one or more modes in a set of modes; process the radar measurements to obtain a set of radar images; identify relevant signals in the set of radar images based on signal determination criteria for an application; and perform the application using only the relevant signals.

Abstract: An electronic device includes a Lidar sensor, a radar sensor, and a processor. The processor is configured to identify one or more objects from Lidar scans. The processor is configured to transmit, via the radar sensor, radar signals for object detection based on reflections of the radar signals received by the radar sensor. While the electronic device travels the area, the processor is configured to generate a first map indicating one or more objects within an area based on the Lidar scans and a second map based on the radar signals. The processor is configured to determine whether the second map indicates a missed object at the portion of the first map that is unoccupied. In response to a determination that the second map indicates the missed object, the processor is configured to modify the first map with the missed object.

Abstract: A storage assembly including a vacuum insulated cabinet, a refrigeration system, and a drawer. The vacuum insulated cabinet is formed by a number of insulated panels. The vacuum insulated cabinet and the refrigeration system collectively form a refrigerated compartment. The drawer is configured to move between an open position, in which an interior portion of the drawer is accessible, and a closed position, in which the drawer is disposed in the refrigerated compartment and the interior portion of the drawer is inaccessible. The refrigeration system includes a first heat exchanger, including one of a thermoelectric device or an evaporator, disposed between the drawer and a rear portion of the insulated cabinet, and a second heat exchanger, including one of a condenser or thermoelectric device, disposed in a machine compartment adjacent to the refrigerated compartment.

Abstract: A system and method for providing a response to at least one code-mix user query on a digital platform. The method encompasses receiving, by a transceiver unit, the at least one code-mix user query at the digital platform. The method thereafter comprises translating dynamically, by a translation engine, the at least one code-mix user query in a first language based on a pre-trained and fine-tuned sub-system, wherein: the sub-system is pre-trained based on a pre-existing first language corpus, and the sub-system is fine-tuned based on a parallel corpus of one or more pre-existing code-mix user queries. Further the method encompasses identifying and providing, by a response generator, the response to the at least one code-mix user query based at least on the dynamic translation of the at least one code-mix user query.

Abstract: A method and electronic device for determining relevant signals in radar signal processing. The electronic device includes a radar transceiver, a memory, and a processor. The processor is configured to cause the electronic device to obtain, via the radar transceiver of the electronic device, radar measurements for one or more modes in a set of modes; process the radar measurements to obtain a set of radar images; identify relevant signals in the set of radar images based on signal determination criteria for an application; and perform the application using only the relevant signals.

Abstract: A method and electronic device for determining relevant signals in radar signal processing. The electronic device includes a radar transceiver, a memory, and a processor. The processor is configured to cause the electronic device to obtain, via the radar transceiver of the electronic device, radar measurements for one or more modes in a set of modes; process the radar measurements to obtain a set of radar images; identify relevant signals in the set of radar images based on signal determination criteria for an application; and perform the application using only the relevant signals.

Abstract: A refrigerator shelving system includes a first shelf, a first set of suspenders, a second set of suspenders, and a second shelf. The second shelf is rotatably secured to the second set of suspenders and slidably secured to the second set of suspenders. The second set of suspenders is rotatably secured to the first shelf. A back end of the second shelf is configured to rotate relative to the first set of suspenders, the second set of suspenders is configured to rotate relative to the first shelf, and a front end of the second shelf is configured to slide relative to the second set of suspenders during rotation of the second set of suspenders in order to transition the second shelf between an operational position and a stowed position.

Abstract: An electronic device includes a Lidar sensor, a radar sensor, and a processor. The processor is configured to identify one or more objects from Lidar scans. The processor is configured to transmit, via the radar sensor, radar signals for object detection based on reflections of the radar signals received by the radar sensor. While the electronic device travels the area, the processor is configured to generate a first map indicating one or more objects within an area based on the Lidar scans and a second map based on the radar signals. The processor is configured to determine whether the second map indicates a missed object at the portion of the first map that is unoccupied. In response to a determination that the second map indicates the missed object, the processor is configured to modify the first map with the missed object.

Abstract: An integrated sensing device comprising a force sensor and fingerprint sensor disposed on different portions of a flexible circuit. The fingerprint sensor is disposed on a first side of a first portion of the flexible circuit and the force sensor is disposed on a second portion of the flexible circuit. The flexible circuit is configured such that the first portion is over the second portion. The fingerprint sensor includes fingerprint sensor electrodes disposed on the first side of the first portion. The force sensor comprises a compressible layer disposed between a second side of the first portion and a first side of the second portion, and one or more one force electrodes.

Abstract: A method and electronic device for determining relevant signals in radar signal processing. The electronic device includes a radar transceiver, a memory, and a processor. The processor is configured to cause the electronic device to obtain, via the radar transceiver of the electronic device, radar measurements for one or more modes in a set of modes; process the radar measurements to obtain a set of radar images; identify relevant signals in the set of radar images based on signal determination criteria for an application; and perform the application using only the relevant signals.

Abstract: A device and system for automatically tracking a baseline input into a biometric sensor is provided. The device and system include a processing system with an amplifier having an input terminal and an output terminal for producing an output signal based on the input signal received by the input terminal. The processing system further includes at least one signal conditioning element coupled to the input terminal of the amplifier and configured to condition a compensation signal, and the processing system further includes a control circuit that adjusts one or more signal conditioning parameters of the at least one signal conditioning element based on the output signal of the amplifier. The at least one input signal received by the input terminal includes a combination of the at least one compensation signal and a signal from a first set of one or more receiver electrodes of the biometric sensor.

Abstract: The present invention relates to a process for the preparation of amorphous dapagliflozin. The present invention relates to 2,3-butanediol solvate of dapagliflozin and process for its preparation.

Abstract: A device and system for automatically tracking a baseline input into a biometric sensor is provided. The device and system include a processing system with an amplifier having an input terminal and an output terminal for producing an output signal based on the input signal received by the input terminal. The processing system further includes at least one signal conditioning element coupled to the input terminal of the amplifier and configured to condition a compensation signal, and the processing system further includes a control circuit that adjusts one or more signal conditioning parameters of the at least one signal conditioning element based on the output signal of the amplifier. The at least one input signal received by the input terminal includes a combination of the at least one compensation signal and a signal from a first set of one or more receiver electrodes of the biometric sensor.

Abstract: A device and system for automatically tracking a baseline input into a biometric sensor is provided. The device and system include a processing system with an amplifier having an input terminal and an output terminal for producing an output signal based on the input signal received by the input terminal. The processing system further includes at least one signal conditioning element coupled to the input terminal of the amplifier and configured to condition a compensation signal, and the processing system further includes a control circuit that adjusts one or more signal conditioning parameters of the at least one signal conditioning element based on the output signal of the amplifier. The at least one input signal received by the input terminal includes a combination of the at least one compensation signal and a signal from a first set of one or more receiver electrodes of the biometric sensor.