Abstract: An analog-to-digital converting device includes N-stage first analog-to-digital converters (ADCs), a second ADC, a first calibration circuit, a data recovery circuit and an output circuit. The N-stage first ADCs has a first sampling frequency that is (N+1)/N times of a second sampling frequency, and converts an input signal into first quantized outputs. The second ADC has the second sampling frequency, and converts the input signal into a second quantized output. The first calibration circuit calibrates offsets of the first quantized outputs and the second quantized output to generate third quantized outputs and a fourth quantized output. The data recovery circuit outputs, by the second sampling frequency, one of the third quantized outputs as a fifth quantized output, and subtracts the fifth quantized output from the fourth quantized output to generate output data. The output circuit generates an output signal according to the third quantized outputs and the output data.

Abstract: A communication device is provided that performs highly reliable data communication using a plurality of channels. The communication device includes: a generation unit that generates a transmission frame including an aggregation frame in which a sequence of subframes is multiplexed in a time axis direction and a frequency channel axis direction; and a transmission unit that wirelessly transmits the transmission frame. The generation unit generates the aggregation frame aggregated to cause each of the subframes included in the sequence to be stored at least once in each of frequency channels, and arranges in the aggregation frame at least one slot for receiving a continuation request signal.

Abstract: An automated system includes transducers, at least one computing device, and at least one automated apparatus. The transducer(s) is/are driven and sensed using drive-sense circuit(s). A drives and senses drive and sense a transducer via a single line, generates a digital signal representative of a sensed analog feature to which the transducer is exposed, and transmits the digital signal to the computing device. The computing device receives digital signals from at least some of drive-sense circuits and process them in accordance with the automation process to produce an automated process command. The automated apparatus executes a portion of an automated process based on the automated process command.

Abstract: An automated system includes transducers, at least one computing device, and at least one automated apparatus. The transducer(s) is/are driven and sensed using drive-sense circuit(s). A drives and senses drive and sense a transducer via a single line, generates a digital signal representative of a sensed analog feature to which the transducer is exposed, and transmits the digital signal to the computing device. The computing device receives digital signals from at least some of drive-sense circuits and process them in accordance with the automation process to produce an automated process command. The automated apparatus executes a portion of an automated process based on the automated process command.

Abstract: Digital-to-Analog (DAC) circuitry for an implantable pulse generator is disclosed which is used to program currents at the electrodes. Calibration circuitry allows the positive and negative currents produced at each electrode to be independently calibrated to achieve an ideal (linear) response across a range of amplitude values provided to the DAC circuitry by a digital amplitude bus. The calibration circuitry includes electrode gain and electrode offset circuitry for each of the electrodes. Current range DAC circuitry is also provided which can be used to adjust the gain and offset current at all of the electrodes. The current range DAC circuitry is particularly useful when spanning a range of therapeutic currents for a patient, and allows all possible amplitude values provided by the digital bus to be used to span the range. This can improve (reduce) the current resolution of the electrode currents with each amplitude value step.

Abstract: A helical antenna, including a printed circuit board and a radiating body provided above the printed circuit board. The radiating body includes at least one main helical arm and at least one parasitic helical arm. Each main helical arm corresponds to at least one parasitic helical arm. Each main helical arm is arranged in parallel with and is spaced with its corresponding parasitic helical arm. A first terminal of each main helical arm is electrically connected to a first terminal of the corresponding parasitic helical arm. A second terminal of the main helical arm and a second terminal of the parasitic helical arm are both in a floating state, and a length of the parasitic helical arm is greater than a length of its corresponding main helical arm.

Abstract: Method of analysis of a diagnostic dental representation showing a dental arch of a current patient in several dimensions. The method includes creation of a learning base including more than 1,000 historical dental structures. Each historical dental structure includes a historical dental representation showing an arch of a historical patient in several dimensions and a historical specification containing a value for at least a first attribute relating to a dental object associated with the historical dental representation. The method includes training of at least one deep learning device by use of the learning base. The method includes submission of the diagnostic dental representation to the deep learning device in such a manner that it determines, for the diagnostic dental representation, at least one value for the first attribute.

Abstract: A data acquisition system comprises a signal processing chain including an analog-to-digital converter (ADC) circuit configured to: produce a digital output from an input signal; detect a specified signal feature of the input signal; and change an operating condition of an additional circuit of the signal processing chain in response to detecting the signal feature of the input signal.

Abstract: A measurement device includes an acquisition unit and a calculation unit. The acquisition unit acquires a first image obtained by image-capturing liquid containing tangible components flowing through a flow path and a second image image-captured simultaneously with the first image and having an image-capturing magnification higher than the first image. The calculation unit sorts, by using clipped images obtained by clipping the tangible components included in the first image and the second image, the tangible components into different types, and that calculates, by using a total number of the tangible components clipped out of the first image and included in a specified category as well as a ratio of a number of each of the tangible components of the different types clipped out of the second image and included in the specified category relative to a total number thereof, the number of the tangible components included in the specified category.

Abstract: In a medical image recognition method, applied to a computer device, a to-be-recognized medical image set is obtained, where the to-be-recognized medical image set includes at least one to-be-recognized medical image. A to-be-recognized area corresponding to each to-be-recognized medical image in the to-be-recognized medical image set is extracted. The to-be-recognized area is a part of the to-be-recognized medical image. A recognition result of each to-be-recognized area through a medical image recognition model is determined. The medical image recognition model is obtained through training according to a medical image sample set. The medical image sample set includes at least one medical image sample, and each medical image sample carries corresponding annotation information. The annotation information is used for representing a type of the medical image sample, and the recognition result is used for representing the a of the to-be-recognized medical image.

Abstract: Systems and methods for image processing of a skin feature may include receiving from at least one image sensor associated with a mobile communications device a first and a second images of a skin feature. The skin feature has multiple segments of differing colors and differing sizes, and the second image is captured at least a day after the first image is captured. The method may further include analyzing data associated with the first and second images to determine a condition of the skin feature based on changes over time of the multiple segments. The method may also include determining, based on the determined condition of the skin feature, a medical action for treating the skin feature during a time period. Then, the method may include causing a mobile communications device to display information indicative of the determined medical action.

Abstract: A method, apparatus and computer program product are provided to select a plurality of antenna elements of an antenna array, such as to match the angular spread of the antenna array to a deployment scenario, thereby increasing the effective beamforming gain. In the context of a method, a plurality of antenna elements of an active antenna array are selected by separately selecting first, second and third pluralities of antenna elements and obtaining measures of first, second and third signals based upon transmission or reception of signals by the first, second and third pluralities of antenna elements, respectively The method additionally includes processing the measures of the first, second and third signals and determining a sub-army of antenna elements of the active antenna array to be utilized based on the processing of the measures of the first, second and third signals.

Abstract: A system is disclosed herein. The system includes a splitter board. The splitter board includes a microprocessor, a converter, and a bypass relay. The converter includes analog-to-digital circuitry and digital-to-analog circuitry. The bypass relay is configurable between a first state and a second state. In the first state, the bypass relay is configured to direct an input signal to the converter. The converter converts the input signal to a converted input signal and splits the converted input signal into a first portion and a second portion. The first portion is directed to the microprocessor. The second portion is directed to an output port of the splitter board for downstream processes. In the second state, the bypass relay is configured to cause the input signal to bypass the converter. The bypass relay directs the input signal to the output port of the splitter board for the downstream processes.

Abstract: There is provided a method of assessing fibrosis in a tissue sample. The method includes: obtaining a stained image of a stained tissue sample, the stained tissue sample being stained in relation to collagen therein; producing a plurality of different types of collagen images based on the stained image, the plurality of different types of collagen images corresponding to a plurality of different types of collagen, respectively; determining a plurality of different types of collagen parameters based on the plurality of different types of collagen images using a deep neural network; and determining a degree of fibrosis in the stained tissue sample based on the plurality of different types of collagen parameters. The plurality of different types of collagen comprises portal collagen, fibrillary collagen and septal collagen.

Abstract: There is a need for more effective and efficient predictive data analysis solutions and/or more effective and efficient solutions for generating image representations of categorical/scalar data. Various embodiments of the present invention address one or more of the noted technical challenges. In one example, a method comprises receiving the one or more categorical input features; generating an image representation of the one or more categorical input features, wherein the image representation comprises image region values each associated with a categorical input feature, and further wherein each image region value of the one or more image region values is determined based at least in part on the corresponding categorical input feature associated with the image region value; and processing the image representation using an image-based machine learning model to generate the image-based predictions.

Abstract: A digital-to-analog converter (DAC)-based voltage-mode transmit driver architecture. One example transmit driver circuit generally includes an impedance control circuit coupled to a plurality of DAC driver slices. The impedance control circuit generally includes a tunable impedance configured to be adjusted to match a load impedance for the transmit driver circuit. Another example transmit driver circuit generally has an output impedance that is smaller than the load impedance for the transmit driver circuit, such that an output voltage swing at differential output nodes of the transmit driver circuit is greater than a voltage of a power supply rail. Another example transmit driver circuit generally includes a predriver circuit with a first inverter coupled to a first output of the predriver circuit and a second inverter coupled to a second output of the predriver circuit, the transistors in at least one of the first inverter or the second inverter having different strengths.

Abstract: A system and method for providing phase noise-based signal design for positioning in a communication system. In one embodiment, an apparatus is configured to receive configuration parameters for a reference signal based on a level of phase noise for the reference signal estimated by a user equipment, apply the configuration parameters to the reference signal to obtain a modified reference signal, and transmit the modified reference signal to the user equipment to enable a position of the user equipment to be determined.

Abstract: The present disclosure enables firmware-based interleaved-ADC gain calibration and provides hardware-thresholding enhancements. An on-chip memory may store subADC samples and a microprocessor accesses these stored samples for use with the calibration algorithm. Power estimates may be performed using square of each subADC sample to estimate gain error. Thresholding may be applied to the subADC samples, such as Maximum Amplitude Thresholding, Minimum Power Thresholding, and/or using Histogram Output Memory, to determine that samples are valid and may be used for calibration or that subADC data are to be discarded and a new subADC data capture is to be started.

Abstract: An analog to digital converter (ADC) that is configured to service a photo-diode includes a capacitor and a self-referenced latched comparator. The capacitor produces a photo-diode voltage based on charging by a photo-diode current associated with the photo-diode and a digital to analog converter (DAC) source current and/or a DAC sink current. The self-referenced latched comparator generates a first digital signal that is based on a difference between the photo-diode voltage and a threshold voltage associated with the self-referenced latched comparator. Also, one or more processing modules executes operational instructions to process the first digital signal to generate a second digital signal and/or a third digital signal. An N-bit DAC generates the DAC source current based on the second digital signal, and an M-bit DAC generates the DAC sink current based on the third digital signal. The DAC source current and/or the DAC sink current tracks the photo-diode current.

Abstract: A positioning method and device used for solving the problems of the existing method for determining an integer ambiguity being relatively difficult and relatively time-consuming. During positioning, the method includes a receiving device determining a virtual phase measured value according to at least two received C-PRS signals (600); determining a TOA measured value according to a received PRS signal (601); determining a virtual integer ambiguity according to the TOA measured value and the virtual phase measured value (602); and finally, determining the location of the receiving device according to the virtual integer ambiguity (603). An integer ambiguity search space is reduced, and the integer ambiguity is determined faster, thus improving the efficiency of determining the location of the receiving device.