131 results about "Digital processor" patented technology

The embodiment disclose a wearable augmented reality eyewear system including a frame supporting left and right transparent lenses. A plurality of outward-facing cameras mounted on the frame have overlapping fields of view for capturing real-time images of the environment. A plurality of inward-facing cameras integrated in the frame or lenses detect pupil size, pupil dilation, and gaze direction using infrared imaging. A digital processor analyzes gaze direction and fixation based on virtual grid coordinates, initiates an object or person recognition routine using images from the outward-facing cameras, and compares detected features with records in a database. At least one lens includes an AR projection system embedded therein and configured to superimpose data about the recognized object or person in the user's field of view. An audio speaker positioned near the user's ear outputs related audio. A wireless communication module enables real-time data exchange with a cloud-based platform.

The invention discloses a short-circuit current limiting and short-circuit recovery transient voltage control device and method for an aviation three-stage power generation system, and the device comprises a three-stage power generator, a power generator controller, a current sensor, a voltage and current collection module, and an asymmetric half-bridge excitation control circuit. Collecting the output current iL and voltage UL of the generator through a digital processor of the generator controller; when short circuit occurs, the given voltage USet of the voltage regulating loop is linearly reduced in a piecewise mode according to the relation between the iL and a preset threshold value, so that the generator works in a constant power interval; and when the short circuit is recovered, closing the upper / lower power tubes of the asymmetric half-bridge excitation control circuit according to the relationship between UL and a preset threshold value in a grading manner, and triggering a negative-pressure follow-current mode of a main excitation winding of the generator controller to quickly extinguish the field. The method can adapt to different generators without adjusting hardware circuit parameters, has no motor ablation risk during short circuit, has transient voltage less than 350V after short circuit recovery, has no power supply interruption in the whole process, has response delay less than 1ms, and greatly improves the safety and robustness of an aviation power supply and distribution system.

A device for interface shape of an optical element including at least one low-coherence light source, at least one optical sensor, an interferometric device illuminated by the light source and configured for shaping at least one measurement beam and at least two reference beams, directing one measurement beam to the element to pass through the interfaces, and directing the light from at least two interfaces to the sensor or sensors, each sensor globally configured for detecting at least two interference signals resulting respectively from interferences between the measurement beam reflected by one of the at least two interfaces and one of the reference beams; the measurement device also including a positioner for positioning a coherence area at the level of each interface and a digital processor for producing, from the interference signals, an item of information of the shape of each interface according to a field of view.

There is provided a system and methods to determine an improved solution to a Mixed Integer Problem (MIP) using a quantum-assisted MIP solver. The methods are performed by a digital processor in communication with a quantum processor. Methods include: selecting at least one feasible solution determined by an MIP solver, determining a first sub-problem of the MIP based on the at least one feasible solution; casting the first sub-problem as Binary Quadratic Models (BQMs); solving the BQMs using the quantum processor to generate sample solutions; determining a second sub-problem based on at least the sample solutions, and obtaining a current solution to the MIP by evaluating the second sub-problem; and updating an incumbent solution if the current solution improves over the current incumbent solution. The quantum-assisted MIP solver uses hybrid crossover and mutation heuristics to improve the convergence time and accuracy of solutions obtained using Branch-and-Cut solvers.

A spiking neural network is provided, wherein each neuron of the spiking neural network includes a RC or RLC circuit formed of passive elements. The RC or RLC circuit provides a corresponding spiking function. In some cases, a portion of each neuron of the spiking neural network is implemented in a digital processor and further includes a digital to analog converter between the portion implemented in the digital processor and the RC or RLC circuit. In some cases, the spiking neural network is implemented as a fully analog neural network.

An analog electronic component for control of an aerosol delivery device is provided. The aerosol delivery device includes a heating element, a reservoir that retains aerosol precursor composition, and an analog electronic component that in response to user input, and independent of a digital processor, is configured to direct a constant current to the heating element and thereby cause the heating element to activate and vaporize components of the aerosol precursor composition in response to user input, and a user input interface through which the user input is receivable.

The invention relates to the technical field of microwave remote sensing, in particular to a Ku, Ka and W three-frequency-band meteorological radar multi-source joint detection system and method and a storage medium, and the system comprises an antenna feeder subsystem, a main control computer, an integrated digital processor, a Ku / Ka integrated radio frequency machine, a Ku-frequency-band power amplifier, a Ka-frequency-band power amplifier, a W-frequency-band transmitter, a W-frequency-band power amplifier, a W-frequency-band receiver and a servo mechanism. The system is designed according to a working mode and working parameters of a main control computer, realizes multiple functions such as Ku / Ka / W single-frequency-band independent working or multi-frequency-band simultaneous working and the like, and has co-polarization and cross-polarization echo signal receiving capability; by controlling the servo mechanism, two modes of fixed-point detection and conical scanning detection are realized, and detection requirements of different meteorological elements are met; the detection capabilities of three frequency bands of Ku, Ka and W are integrated in the system, the detection mode is flexibly configured according to weather conditions and detection requirements, the system has the multi-frequency-band, multi-polarization and multi-element integrated detection capability, and the detection efficiency of the meteorological radar is improved.

The invention discloses a vibration suppression circuit applied to a wheel speed sensor and a suppression method of the vibration suppression circuit, the vibration suppression circuit comprises a Hall disc HallR, a Hall disc HallC, a Hall disc HallL, a first signal link, a second signal link, a digital processor DSP and a current signal output module IOUT, differential electric signals output by the Hall disc HallR and the Hall disc HallC are input to the input end of the first signal link, and differential electric signals output by the Hall disc HallL are input to the output end of the second signal link; differential electric signals output by the Hall disc Hall L and the Hall disc Hall C are input to the input end of the second signal link, the output end of the first signal link and the output end of the second signal link are connected with the first input end and the second input end of the digital processor DSP respectively, and the first output end of the digital processor DSP is connected with the current signal output module IOUT. According to the invention, the vibration suppression function of the wheel speed sensor is improved, and the vibration suppression difficulty of the DSP is reduced.

A method for configuring an optical transmitter for transmitting optical signals over a passive optical link. The method includes using a digital processor to generate a target constellation probability distribution (CPD) for a probabilistic constellation encoder (PCE) of the optical transmitter. The target CPD is generated using a system performance optimization algorithm accounting for the transmitter peak power constraint and a peak enhancement property of a drive circuit of the optical transmitter.

The invention discloses a smart home multi-device linkage power utilization control method based on MOS tubes, and belongs to the technical field of smart home control. The digital processor is used as a core, the built-in numerical control module and the data processing unit are matched, the on-off state of the MOS tube is accurately regulated and controlled in combination with a program control algorithm, fine management of power utilization parameters of intelligent household equipment is achieved, the limitation that traditional control response is lagged and poor in adaptability is broken through, rated parameters and real-time requirements of the equipment are dynamically matched, and the power utilization efficiency is improved. The optimal operation of equipment is guaranteed to prolong the service life, invalid energy consumption is reduced, a high-precision foundation is laid for multi-equipment cooperative linkage, the stability and energy efficiency of a system are improved, multi-scene linkage logic is preset by means of a logic state machine, and rapid switching and reliable execution of multi-scene linkage are realized by matching with an application selection switch of an MOS tube array structure. Scene requirements are automatically adapted, and through independent loop control, fault detection and standby loop design, the problems that linkage switching is tedious and the fault influence is large are solved.

Embodiments of the present invention provide a method, system, devices and software which provide customized, clinically relevant designs, e.g. treatment plans / solutions for at least single tooth replacement therapy in real-time as needed to enable immediate confirmation of the validity and execution of patient-specific treatment solutions.A Machine Learning algorithm is used in a method or system for computer implementation of automatic restoration design. The restoration design includes the design of restorative elements such as crowns and abutments. Software is provided for carrying out the methods when executed on a digital processor. Manufacturing of the restorative elements is also included.

The present patent document provides a design of an efficient hybrid quantum classical computing system capable of information processing based on both quantum computing using different quantum states of qubits and classical digital computing using a digital processor including one or more graphics processing unit (GPU) processors.

The application relates to a kind of OFDM-based broadband millimeter wave relay system hybrid beamforming design method, comprising: calculating the receiving signal of target node under the condition that each node is all digital processor;The receiving signal is processed using minimum mean square error criterion in target node, and MMSE matrix is calculated;Using the equivalence between maximizing sum rate and minimum weighted mean square error algorithm, the maximum sum rate problem is converted into minimum weighted mean square error problem according to MMSE matrix;Deep unfolding neural network is used to solve the minimum weighted mean square error problem, and all digital processor of each node is obtained;Each node's all digital processor is decomposed based on least square decomposition algorithm, and hybrid beamforming matrix of each node is calculated, the complexity of the algorithm is greatly reduced, and the running time of the system can be effectively improved.

The thermodynamic computing platform samples multivariate distributions (e.g., multivariate Gaussian distributions) using a network of coupled analog unit cells controlled by a digital processor. The analog unit cells are capacitively, resistively, and / or inductively coupled to each other. Each analog unit cell contains an adjustable resistor, capacitor, inductor, current source, and / or voltage source. The digital processor sets initial values ​​for these components. These values, or input parameters, represent the multivariate distribution. The network of coupled analog unit cells is then evolved through a series of time steps until thermal equilibrium is reached. As the network evolves, the digital processor samples voltages at nodes in the network at each time step. These voltages represent samples of the multivariate distribution.

A high-voltage (HV) power supply device outputs an output voltage based on a control signal generated by dual analog / digital feedback loops. The control signal is determined at least in part by an error amplifier that receives a measurement signal attenuated proportionally to the output voltage and an output signal from a digital-to-analog converter (DAC). The ADC also receives the measurement signal and transmits it in digitized form to a digital processor. The digital processor calculates a digital DAC data signal based on the measurement signal and a digital setpoint input signal corresponding to a setpoint voltage value desired to be output from the high-voltage source. The DAC receives the DAC data signal and converts it into a DAC output signal that is transmitted to the error amplifier.

The invention relates to the field of power equipment and grid connection, in particular to a distributed photovoltaic over / under-voltage compensation judgment and flexible treatment method based on an instant line current direction. A voltage compensation mode is adopted, namely, a high-speed and reliable digital processor is adopted as a main controller, a high-power silicon controlled rectifier is adopted as an execution device, a compensation transformer is adopted as a voltage adjusting element, the line current direction is detected, and when current flows from a load side to a network side, the voltage adjusting device has a voltage reduction function, and the voltage can be reduced by 15%; when the line current flows from the grid side to the load side, the device bypasses or operates in the boost mode, and the boost capacity is also 15%. Switching is fast, the time is not longer than 20 ms, local power factor compensation is achieved, and the functions of protection and bypass are achieved; the voltage adjusting device has a single-phase voltage adjusting device and a three-phase voltage adjusting device, and the capacity and the output voltage range can be selected.

The invention relates to a system for program control using a digital processor, and more particularly to a system for automatically generating reports about the state of thermal vacuum and manufacturing systems. The technical result, which consists in more timely generation of reports about the state of thermal vacuum and manufacturing systems, is achieved in that the present system for automatically generating reports about the state of thermal vacuum and manufacturing systems comprises a host computer interconnected with a control unit that transmits control signals to monitoring and measuring devices and a data processing unit, wherein the monitoring and measuring devices transmit data to a data collection unit, which transmits data to the data processing unit, which transmits data to the control unit, which transmits data to the host computer, and the monitoring and measuring devices include a validation device, a device for measuring the amount of aerosol particles in the air, a device for remotely recording temperature and relative humidity values, a device for monitoring the parameters of controlled environment rooms, and a module for generating a report about a set of production equipment, wherein the data collection unit is connected to a database, which is connected to the data processing unit.

The invention discloses an ultra-wideband transient multi-electromagnetic physical quantity synchronous measurement method and system, and the method comprises the steps: designing an electric field sensor based on a monopole rod-shaped electrically small antenna principle, and designing a magnetic field sensor based on a Faraday's law of electromagnetic induction; designing a voltage sensor based on a self-integration mode, and designing a current sensor based on a broadband Rogowski coil; based on a digital sampling technology of an FPGA, a digital processor is designed, sampling data collected by an electric field sensor, a magnetic field sensor, a voltage sensor and a current sensor are collected through the digital processor, the sampling data are transmitted to an upper computer through a QSFP module, and the sampling data are processed and displayed through the upper computer. The scheme can be effectively applied to application scenes of transient electromagnetic environment online monitoring, fault diagnosis, radiation source accurate positioning and the like of high-voltage power equipment.

Embodiments of the present disclosure include techniques for moving data between system components using buffers. A digital processor stores data generated in response to a series of commands in a first buffer. A command is received and has a reference to the second buffer. The data processor tracks a last location where the data result is stored in the first buffer. When the buffer area is filled with the data result, the remaining data is automatically stored in the second buffer area. Downstream equipment may empty the full buffer. The client may receive an indication that the buffer is empty, and then send a command with a reference to the empty buffer.

A wireless communication system comprising: a first communication module comprising a first digital processor; and a second communication module comprising a second digital processor; wherein: wherein the first communication module comprises a first digital data interface for communication between the first communication module and a first electronic device and wherein the second communication module comprises a second digital data interface for communication between the second communication module and a second electronic device, wherein the first digital processor is coupled to the first digital data interface; and / or the second digital processor is coupled to the second digital data interface; wherein the first and second communication modules are configured to communicate through a barrier using optical wireless communication.

Embodiments of the present disclosure include techniques for moving data between electronic system components using buffers. A digital processor stores data generated in response to a series of commands in a first buffer. Commands are received with a reference to a second buffer. The digital processor tracks the last location that a data result was stored in the first buffer. When a data result fills the buffer, the remaining data is automatically stored in the second buffer. Downstream devices may empty full buffers. A client may receive an indication that a buffer is empty and subsequently send commands with a reference to empty buffer.

This method is implemented within a digital processor by: a) searching an internal register (R1, R2, R3, . . . R(n)) of the processor which content (b0, b1, b2, . . . b(n)) changes over time; b) extracting at a given time n bits from the register, n≥1; c) using the n bits extracted at step b) as bit(s) for forming a random number of N bits to be generated; d) reiterating (250) steps a) to c) until obtaining the N bits of the random number; and e) providing the random number to an application circuit or software. In order to increase randomness, the method further comprises a selection (240), by a random of pseudo-random process, of the n bits of the register which will be extracted, and / or a selection (230), by a random of pseudo-random process, of one register among a plurality of internal registers (R1, R2, R3, . . . R(n)) of the processor that may be potentially searched and selection of the n bits from the selected register, in particular a selection, by a random of pseudo-random process, of at least one of the bits of the selected register.

The embodiment disclose a wearable augmented reality eyewear system including a frame supporting left and right transparent lenses. A plurality of outward-facing cameras mounted on the frame have overlapping fields of view for capturing real-time images of the environment. A plurality of inward-facing cameras integrated in the frame or lenses detect pupil size, pupil dilation, and gaze direction using infrared imaging. A digital processor analyzes gaze direction and fixation based on virtual grid coordinates, initiates an object or person recognition routine using images from the outward-facing cameras, and compares detected features with records in a database. At least one lens includes an AR projection system embedded therein and configured to superimpose data about the recognized object or person in the user's field of view. An audio speaker positioned near the user's ear outputs related audio. A wireless communication module enables real-time data exchange with a cloud-based platform.

The invention discloses a nonlinear secondary channel modeling method with extremely low additional operand, and belongs to the field of active control of vibration noise. The method aims at solving the problems that in active control over strong response objects such as a vibration source, secondary channel nonlinearity causes insufficient modeling precision, and an existing method is large in additional calculation amount. The method comprises the following steps: firstly, determining a target frequency, selecting N kinds of sinusoidal signals with gradual increase amplitudes to identify a secondary channel in an off-line manner, and obtaining N groups of pulse response sequences; constructing an M-row N-column two-dimensional array storage sequence; during control, a round instruction is built in a digital processor to round the output to obtain an index number, and a corresponding secondary channel coefficient is called from an array so as to provide a precise model for a self-adaptive algorithm. The method is high in modeling precision and low in additional operand, guarantees the real-time performance and control stability of the system, and is suitable for a vibration noise active control scene of a filtering least mean square (FxLMS) algorithm.

The application discloses a vibration suppression circuit applied to a wheel speed sensor and a suppression method thereof, and comprises a Hall_R disc, a Hall_C disc, a Hall_L disc, a first signal link, a second signal link, a digital processor DSP and a current signal output module IOUT. Differential electric signals output by the Hall_R disc and the Hall_C disc are input into input ends of the first signal link, differential electric signals output by the Hall_L disc and the Hall_C disc are input into input ends of the second signal link, output ends of the first signal link and the second signal link are connected with first and second input ends of the digital processor DSP respectively, and a first output end of the digital processor DSP is connected with the current signal output module IOUT. The application improves the vibration suppression function of the wheel speed sensor and reduces the difficulty of vibration suppression of the digital signal processor DSP.

An installation comprising an electronically controlled lock mounted on a door, the electronically controlled lock including a first sensing arrangement in the form of an accelerometer or a magnetometer, the installation comprising a unit distinct from the lock mounted on the door or on a door frame receiving the door, the unit including a second sensing arrangement, the second sensing arrangement including an accelerometer or a magnetometer, the installation including digital processor circuitry configured to receive signals from the first and second sensing assemblies and process the signals to detect a possible intrusion attempt based on sensor data simultaneously sampled from different sensing positions relative to the door and / or the door frame.

Power amplifier circuitry is disclosed having an inverse Class-D amplifier functioning as a power amplifier and self-biasing circuitry generating gate bias voltages for switching type power transistors within the power amplifier. The self-biasing circuitry includes a low-dropout regulator that generates and applies a gate bias voltage in response to a feedback current scaled according to the power amplifier's operating current. A current-based digital-to-analog converter is configured to generate the reference current based on a received digital value. Additionally, a digital processor is configured to generate the digital value in response to the gate bias voltage. The power amplifier circuitry enhances performance and efficiency while ensuring precise control over power transistors'operation, offering advantages for various applications requiring radio frequency signal amplification.

Provided is an analog-based machine learning apparatus and method that enables low-power sensing and smarter determinations on a vehicle. As an example, the method may include storing a machine learning model and configuration data for an analog processor in a storage device of a digital processor in a vehicle, receiving, via the analog processor, sensor data from one or more hardware sensors that are communicably coupled to the analog processor, extracting features from the sensor data, determining an event that occurred based on the configuration data and execution of a machine learning model on the extracted features of the sensor data, and storing an identifier of the event in the storage device.

The utility model discloses PCM equipment, which belongs to the technical field of telecommunication, comprises an input interface, a signal amplifier, a sampling hold circuit, a signal conditioning circuit, an ADC (analog to digital converter) module, a clock generator, a power module, a digital processor, a memory, an Ethernet controller and a remote communication module, and solves the technical problems of sampling synchronization and high-precision sampling of the PCM equipment. According to the utility model, the tracking sampling holding circuit formed by the AD8250 amplifier and the AD503 is adopted, so that the accuracy and the stability of signals during high-frequency sampling can be ensured. The perfect alignment of time sequences among the modules in the system is ensured, and the problem of long-distance low-power-consumption data transmission is solved.

Embodiments of the present invention provide methods, systems, devices, and software for providing customized, clinically relevant designs, such as treatment plans / solutions for at least a single tooth replacement therapy, on demand and in real time, enabling immediate confirmation of the effectiveness and implementation of the patient-specific treatment solution. A machine learning algorithm is used in a computer-implemented method or system for automated restoration design. The restoration design includes the design of restorative elements such as crowns and abutments. Software for performing the method when executed on a digital processor is provided. The method also includes fabrication of the restorative elements.