74 results about "Digital feedback" patented technology

The invention relates to the technical field of chip task allocation, and discloses a task allocation optimization method and device for a multi-core heterogeneous ASIC (Application Specific Integrated Circuit) computing mainboard. Computing core setting information of the computing mainboard is collected, a mainboard computing performance model is generated through digital feedback processing, an executable task set is obtained, and the computing requirement of each task is analyzed; performing simulation analysis on the calculation demand set based on the performance model by using an optimization algorithm, generating a task allocation plan, identifying and generating task execution characteristics of a currently executed task, allocating the task execution characteristics according to the task allocation plan, and scheduling calculation resources to process the current task. The resource performance is accurately simulated through the performance model, the optimization algorithm ensures efficient resource allocation, responds to task changes in real time, maximizes the utilization of heterogeneous computing resources, improves the overall computing efficiency, and solves the problem of execution delay when real-time task allocation is carried out on the multi-core heterogeneous ASIC computing mainboard in the prior art.

The invention relates to the technical field of supply chain management, and discloses an Internet of Things platform supply chain data processing method and system based on artificial intelligence, and the method comprises the steps: constructing an Internet of Things information sensing network of a supply chain through the deployment of a sensor unit and an intelligent terminal, and carrying out the digital feedback simulation; a supply chain model is constructed, model parameters are adjusted through real-time information collection, supply chain process link actual conditions and article operation track data are obtained and substituted into the model, supply chain project features are deeply analyzed by using a pre-trained artificial intelligence algorithm, and analysis features of all analysis projects are extracted and transmitted to an application service layer; and adjusting execution parameters to output a supply chain optimization decision, realizing intelligent decision through real-time data perception, analysis and optimization of a supply chain process and deep analysis based on an AI model, reducing human errors and delay, optimizing each link of the supply chain, and solving the problem of difficulty in effective processing and analysis of supply chain data of the Internet of Things in the prior art. And the intelligent decision-making problem is supported.

The utility model relates to a laser automatic frequency locking system based on similarity identification spectrum, comprising a laser, a spectrum module, a digital PID feedback controller and an automatic frequency locking operation system, the automatic frequency locking operation system is used for determining a locking point of a received spectrum signal based on a similarity identification algorithm, and determining a corresponding automatic frequency locking parameter based on the locking point, and performing PID locking control on the laser by the digital PID feedback controller based on the automatic frequency locking parameter of the locking point. The scheme has the advantages of small environmental influence interference, more stable working state, wide application range and high working efficiency.

A signal processing apparatus includes a plurality of time-interleaving digital-to-analog converters each configured to sample a digital input signal at a preset sub-DAC sample frequency, and to generate an analog sub-DAC output signal. The signal processing apparatus includes analog multiplexer that samples the plurality of sub-DAC output signals at a preset multiplexer clock frequency and generates a multiplexer output signal. The signal processing apparatus further includes a local ADC that receives the multiplexer output signal and generate a digital feedback signal. The signal processing apparatus further includes a digital compensation engine that receives the digital feedback signal from the local ADC and determine one or more distortion compensation parameters. The signal processing apparatus further includes a digital pre-processing stage that receives the one or more distortion compensation parameters from the digital compensation engine and performs distortion compensation pre-processing on the digital input signal.

The invention relates to the technical field of data processing, and discloses a digital feedback dynamic adjustment method and system for a neutron generator control signal, and the method comprises the steps: calling a reconfigurable waveform parameter set corresponding to a target neutron from a mapping relation according to the yield and beam spot characteristic demands of the target neutron; generating a basic high-frequency pulse sequence of the neutron tube, and performing pre-distortion filtering on the basic high-frequency pulse sequence to obtain a high-frequency pulse sequence of the neutron tube; collecting an anode current and a target voltage signal of the neutron tube applied with the high-frequency pulse sequence during operation, and converting the anode current and the target voltage signal into a digital feedback current; comparing the digital feedback flow with a reference waveform in the reconfigurable waveform parameter set in real time to obtain an error correction amount of the high-frequency pulse sequence; dynamically adjusting the high-frequency pulse sequence according to the error correction; applying the dynamically adjusted high-frequency pulse sequence to a corresponding electrode in a neutron tube through power; the neutron tube control signal processing efficiency can be improved.

The invention relates to the technical field of high-voltage VI modules, and particularly discloses a high-voltage VI source module for SOC testing, which comprises an output stage module, a sampling module and a control and conversion module, the output stage module is constructed by adopting discrete high-voltage power devices, supports four-quadrant operation, and can realize flexible output and absorption of voltage and current; the sampling module is composed of a voltage sampling unit and a current sampling unit which respectively monitor voltage and current signals of the output stage in real time. The control and conversion module comprises a control unit and a digital-to-analog conversion unit; the digital-to-analog conversion unit is responsible for converting a digital control signal into an analog control signal to drive the output stage and converting analog voltage and current signals collected by the sampling module into digital feedback signals; and the control unit receives the digital feedback signals and adjusts the output of the digital-to-analog conversion unit in real time through a closed-loop control algorithm, so that high-precision and high-stability control on the output-stage voltage or current is realized.

The invention discloses a surface treatment method and system for a forming engineering material, and relates to the technical field of material surface treatment.The surface treatment method comprises the steps that material surface characteristics and surface quality standards of the forming engineering material are read; measuring the characteristic amplitude modulation of the material surface characteristics and the surface quality standard, and identifying the characteristic correlation; on the basis of feature amplitude modulation and feature correlation, in combination with an adaptive decision model, performing intra-layer independent analysis and inter-layer collaborative analysis, and optimizing a decision to determine a surface treatment scheme; configuring the intelligent central control system; with the exception handling features as indexes, industrial big data retrieval is performed, a regulation and control plan library is constructed, and an autonomous calibration rule based on control deviation is set; configuring the digital feedback device; and performing closed loop control on the surface treatment of the forming engineering material. The technical problem that in the prior art, real-time and accurate control over the material surface quality is difficult is solved, and the technical effect of improving the surface treatment efficiency and quality is achieved.

A wireless communication device and a method for IQ calibration are provided. The wireless communication device includes a transmitting unit configured to generate a set of radio frequency (RF) transmit signals based on a set of digital baseband signals, each RF transmit signal in the set of RF transmit signals having an IQ component; a receiving unit configured to generate a set of digital feedback signals based on a set of RF received signals obtained from the set of RF transmitted signals; and a processing unit configured to obtain a first compensation coefficient set for the transmitting unit and a second compensation coefficient set for the receiving unit based on the digital baseband signal set and the digital feedback signal set by using an IQ calibration model, the IQ calibration model includes a first set of higher order terms associated with non-linear errors in the transmitting unit and a second set of higher order terms associated with non-linear errors in the receiving unit.

The utility model discloses a digital feedback suppressor which comprises a storage box and a supporting block, the supporting block is arranged in the storage box, first rotating arms are arranged at the two ends of the supporting block respectively, linkage shafts are installed at the ends, close to the supporting block, of the first rotating arms respectively, and the first rotating arms are movably connected with the supporting block through the linkage shafts. Second rotating arms are installed at the ends, away from the supporting blocks, of the first rotating arms, movable shafts are installed at the ends, close to the first rotating arms, of the second rotating arms, the second rotating arms are movably connected with the first rotating arms through the movable shafts, and linkage plates are arranged outside the second rotating arms; a hinge shaft is installed at the end, close to the second rotating arm, of the linkage plate. According to the utility model, convenient and fast moving and extending use and convenient and fast linkage position adjustment use are realized, storage protection and multi-angle adjustment control use are facilitated, and the protection effect and the convenience of operation and use are improved.

The invention relates to the technical field of charging scheduling, in particular to an intelligent port scheduling method and system for a charging pile cluster, and the method comprises the steps: obtaining the setting data of each charging pile of the discretely-deployed charging cluster, so as to construct a digital feedback model of the charging cluster, monitoring the load characteristics of each charging pile at the current moment, and carrying out the monitoring of the load characteristics of each charging pile; the method comprises the following steps: acquiring the real-time load characteristics of a charging cluster, substituting the real-time load characteristics into a digital feedback model to generate the real-time load characteristics of the charging cluster, acquiring the environment characteristics of the area where each charging pile is located, predicting the predicted load characteristics of the charging cluster in the future time by combining the environment characteristics and the real-time load characteristics, and performing port scheduling decision on the real-time load characteristics and the predicted load characteristics based on the digital feedback model. And performing port resource allocation on each charging pile according to a generated port scheduling strategy.

The present invention is in the field of underlying electronic circuits, in particular audio amplifiers, more particularly class D amplifiers, such as for digital audio converters and digital amplifier controllers, chips comprising said audio amplifiers, and devices comprising said audio amplifiers or said chips.

A device, method, and system for signal distortion pre-correction, and a composite system are disclosed. The device-includes: a signal distortion correction network module, a correction parameter trainer, a data collection module connected to an external power amplifier module, and a first conversion module. The data collection module is configured to perform time-division collection on output signals of channels of the power amplifier module and output analog feedback signals to the first conversion module. The first conversion module is configured to convert the analog feedback signals into digital feedback signals. The correction parameter trainer is configured to determine a correction parameter according to the digital feedback signals and a forward signal inputted. The signal distortion correction network module is configured to correct the forward signal based on the correction parameter and output a pre-corrected signal.

The invention provides a method for providing digital feedback of activation or suppression for a target brain region. The method comprises the following steps: carrying out physiological feedback training according to a physiological signal through a digital interface; executing a training configuration according to the physiological feedback training; outputting an execution result, wherein the execution result comprises a physiological signal and behavior data; and analyzing the execution result, and if the execution result meets the expectation, maintaining the training configuration; if the execution result does not conform to the expected result, another training configuration is replaced, and the other training configuration is executed. Therefore, unnecessary activation or inhibition on other non-target brain regions is avoided by means of the effect of activating or inhibiting the target brain region in real time, so that the time required for achieving a predicted target is shortened, and the number of training times is reduced.

The present application discloses a vehicle-mounted adaptive microphone audio gain method, apparatus, equipment and storage medium, relating to the technical field of vehicle-mounted electronic equipment. The present application includes: determining a business scenario of an application, determining a target digital gain value and a target analog gain value of the received microphone audio according to the business scenario, performing analog gain on the microphone audio to obtain an analog gain value, performing digital gain on the microphone audio to obtain a digital gain value, comparing the analog gain value with the target analog gain value and the digital gain value with the target digital gain value, respectively, to obtain an analog feedback gain value and a digital feedback gain value, and gaining the microphone audio according to the analog feedback gain value and the digital feedback gain value to obtain microphone gain audio, which can enhance the sensitivity of the microphone and facilitate adaptive adjustment of the required microphone audio gain for various applications on the vehicle system.

The invention relates to a step search type artificial neural electrode positioning method based on machine learning, and belongs to the field of neuroscience. Specifically, in a micro-driver control and execution module, a central control chip converts a digital feedback signal into an analog signal, the analog signal is amplified by a stack driving and coil current chip to generate a driving signal, and a micro-driver drives and controls an electrode to execute corresponding independent target actions under excitation of the micro-driver; in the signal acquisition and processing module, an electrode is implanted into a target brain region based on a stepping search type positioning method to perform searching and positioning of neurons and preprocessing after signal acquisition; in the machine learning model analysis and discrimination module, the quality of the neuron signal is discriminated in real time by using an integrated learning model, and a discrimination result is combined with the electrode state parameters to generate a digital feedback signal, and the digital feedback signal is transmitted to the central control chip for the next control cycle. Compared with a traditional random search type artificial neural electrode positioning method, the method can achieve a more accurate, more efficient and safer positioning effect.

Disclosed are a laser transmission circuit, a laser transmission component and an electronic measuring instrument. The laser transmission circuit includes: an analog receiving unit (20), and a digital feedback path (30). The analog emission unit (10) is configured to convert the accessed input analog signal into an analog laser signal, and emit the analog laser signal. The analog receiving unit (20) is configured to convert the analog laser signal into an analog electrical signal as an output signal of the laser transmission circuit. An input end of the digital feedback path (30) is connected to an output end of the analog receiving unit (20). An output end of the digital feedback path (30) is connected to a feedback input end of the analog emission unit (10). The digital feedback path (30) is configured to access the analog electrical signal output by the analog receiving unit (20).

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 present invention discloses a PID control system and method, relating to the technical field of PID control. A signal acquisition module acquires analog signals; the analog signals include an analog reference signal and an analog feedback signal; a processing module converts the analog reference signal into a digital reference signal; converts the analog feedback signal into a digital feedback signal; performs a difference calculation on the digital reference value, the digital feedback value and a first interference value to obtain a first output value; performs a difference calculation on the first output value, the feedback value and a second interference value to obtain a second output value; a PID control module obtains three constants according to the second output value; obtains a third output value according to the second output value and the three constants; an HMI module is used to set parameters, display output values and parameters. The present invention improves the adjustment efficiency of the parameters of the PID control system and reduces the oscillation generated by the PID control system.

This invention provides a control channel multiplexing and docking method, apparatus, computer equipment, and medium based on a high-speed network, comprising: configuring a logical channel connected to the control system for each test site and dynamically setting IP routing mapping relationships; converting analog feedback signals output by sensors at the first test site into digital feedback signals, encapsulating them, and transmitting them to the test control room via a high-speed real-time network; receiving a first data packet, decapsulating it, converting it into an analog feedback signal, and inputting it to the control system; converting analog control commands issued by the control system into digital control commands, encapsulating them, and transmitting them to the first test site via a high-speed real-time network; decapsulating a second data packet according to its destination IP address, converting it into an analog control command, and outputting it to the actuator; updating the IP routing mapping relationship and switching the logical channel connection when switching test sites. This enables the hardware resources of a control system to be reused.

A radar detection system and a radar field of view (FOV) direction adjustment method are provided. A processing unit of the radar detection system performs the following steps in one scanning round: obtaining at least one cluster of a current frame and a current status and a next status of each cluster based on digital feedback signals; and determining a displacement, determining, based on the current status of a tracked cluster in the at least one cluster and the displacement, whether the tracked cluster is located on an edge of a current FOV of a radar unit, and sending a control signal based on the next status of the tracked cluster in response to the tracked cluster being located on the edge of the current FOV, to adjust an FOV direction of the radar unit.

The present application relates to the technical field of temperature change control, and discloses an intelligent control method and system for a multi-stage temperature change test box, which obtains setting information of a temperature change control network and a temperature sensing network of the test box, divides the internal space of the test box into regions, obtains a corresponding digital feedback model, collects temperature data of the test box through the temperature sensing network, and substitutes the temperature data into the digital feedback model to analyze the temperature distribution information and temperature time-varying characteristics of the internal space of the test box, obtain temperature environment information required by the current test, generate a temperature change control target in combination with the temperature distribution information, the temperature time-varying characteristics, and the temperature environment information, select a temperature control region and analyze a temperature control mode for the temperature change control target based on the digital feedback model, obtain the best temperature control region and the best temperature control strategy, place a test object in the best temperature control region, and drive the temperature change control network to control the temperature according to the best temperature control strategy.

The present application provides a method and system for controlling a beating cam for a loom with intelligent adjustment, which relates to the field of intelligent control technology. The method and system determine a transmission analysis module by performing low-feature non-uniform modeling on a target loom; perform power flow simulation in combination with the beating requirements and the transmission analysis module, determine a pre-control scheme and a transmission correlation function, and perform periodic dynamic control of the beating cam of the loom based on the pre-control scheme; determine feedback control rules in combination with the transmission correlation function, and configure a digital feedback device; connect the digital feedback device to the loom control center, synchronously perform beating cam control monitoring, determine a feedback control scheme and perform feedback control, and solve the problem in the prior art that the beating cam cannot perform feedback control adjustment in time due to the low control intelligence level, resulting in low production efficiency and poor quality of finished products, and achieve the technical effect of being able to monitor and feedback-adjust the control scheme in real time, improve the stability and production efficiency of the system, and ensure product quality.

The invention relates to the technical field of radio frequency circuits and quantum sensing, and discloses an NV color center-oriented hybrid neural network adaptive pre-distortion system and method, a storage medium and electronic equipment, and the system comprises a main signal path, a feedback observation path and a hybrid neural network pre-distortion controller; a digital predistorter in the main signal channel receives an original digital signal, predistorts the original digital signal to generate a predistorted signal, and outputs an amplified signal after the predistorted signal passes through a power amplifier; a coupler of the feedback observation path receives an amplified signal, and the amplified signal passes through an attenuator and an analog-to-digital converter and then outputs a digital feedback signal; and the hybrid neural network predistortion controller receives the original digital signal and a digital feedback signal output by the analog-to-digital converter, outputs a calibration signal required by the digital predistorter through a neural network model based on the original digital signal and the digital feedback signal, and controls the digital predistorter based on the calibration signal.

A Sigma Delta analog-to-digital converter (ADC) and a method for eliminating idle tones of the Sigma Delta ADC are provided. The Sigma Delta ADC includes a loop filter, a quantizer, an adder and a digital-to-analog converter (DAC). The loop filter performs filtering on a difference between an analog input signal and an analog feedback signal to generate a filtered signal. The quantizer is coupled to the loop filter, and generates a digital output signal according to the filtered signal. The adder is coupled to the quantizer, and adds a digital dithering signal to the digital output signal to generate a digital feedback signal. The DAC is coupled to the loop filter, and generates the analog feedback signal according to the digital feedback signal.

The invention relates to a circuit and a method for generating an oscillator signal. The present disclosure relates to an oscillator circuit comprising: a controller configured to generate a frequency control signal, the frequency control signal comprising a first frequency control value; a digitally controlled oscillator (DCO) configured to generate an oscillator output signal based on the frequency control signal, where the output signal is generated at a first frequency in response to a first frequency control value of the frequency control signal; and a digital feedback circuit configured to receive the output signal and output a first feedback signal, where the oscillator circuit is configured such that the first frequency depends on or is at least partially based on a value of the first feedback signal, and the controller is configured to provide a first control instruction to instruct the digital feedback circuit to update the first feedback signal, the digital feedback circuit is configured to, in response to the first control instruction: measure a first frequency of the output signal; and adjusting a value of the first feedback signal to reduce an error between the first frequency and the first target frequency.

This application relates to defect detection for memory devices. A segmented digital die defect detector can include a plurality of signal lines and control circuitry each coupled with test circuitry to form a path. At least a portion of the path can extend through an interior portion of the die. The test circuitry can generate digital feedback signals indicative of a condition of a respective signal line. The control circuitry can generate a single output signal indicative of the condition of the signal lines. By utilizing digital test circuitry and a single digital output signal, a layout area of the segmented digital die defect detector can be reduced and power consumption associated with test operations can be reduced.

The present application provides a rapid prototyping stamping processing system and method, which relates to the field of stamping processing technology. The method includes: reading the stamping processing task; planning the production strategy based on the task complexity and batch processing threshold, and determining the task stamping strategy; combining the trial punching decision module to perform task-by-task single-frequency trial punching analysis and control decision-making based on the rapid punching machine, and determine the punching machine control strategy; configuring the flexible control system and establishing a communication connection with the CAD library; determining the self-compensation rule based on the control tolerance interval and setting the digital feedback device; combining the flexible control system to perform stamping control of the stamping processing task, synchronously perform stamping monitoring, and perform dynamic stamping self-regulation. This application can solve the technical problem in the prior art that the stamping control effect is unstable, which further affects the product quality, realize the technical goal of flexible adaptive control, and achieve the technical effect of high-quality product output.

The present invention discloses a material parameter digitization method and system for full-cycle management, which relates to the field of digital processing technology, including: determining multiple material management nodes, performing periodic monitoring, and obtaining a full-cycle parameter set of materials; associating and matching multiple material management nodes with multi-stage material parameters to generate a material parameter management network; traversing the material parameter management network to perform digital calculations and generate multiple digital coefficients; performing digital compensation analysis on the material parameter management network and formulating a digital compensation plan; digitally verifying the material parameter management network, performing regular feedback on multiple material management nodes based on the verification results, generating digital feedback information, and performing full-cycle digital management of multi-stage material parameters. The present invention solves the technical problem that the existing technology cannot effectively perform accurate digital management of material parameters, and achieves the technical effect of accurate digital management of material parameters.

A digital feedback equalizer (DFE) includes a plurality of loop unrolling circuits and a first plurality of multiplexers. Each loop unrolling circuit of the plurality of loop unrolling circuits is configured to receive an input symbol, generate a plurality of modified symbols based on the input symbol and a plurality of symbol versions associated with a previously generated output symbol, and generate a plurality of output symbols based on the plurality of modified symbols. The first plurality of multiplexers is coupled to a first loop unrolling circuit of the plurality of loop unrolling circuits. The first plurality of multiplexers is configured to output one or more of the plurality of output symbols generated by the first loop unrolling circuit based on a selection signal including one or more of the plurality of output symbols generated by a second loop unrolling circuit of the plurality of loop unrolling circuits.

The invention belongs to the technical field of atmospheric trace gas detection, and particularly relates to a laser heterodyne radiometer for locking local oscillator optical power based on an adjustable optical attenuator. Comprising a variable optical attenuator and an optical fiber beam splitter, and the optical fiber beam splitter transmits local oscillation light attenuated by the variable optical attenuator to a first photoelectric detector and a frequency calibration module and carries out beam combination and frequency beating on the local oscillation light and signal light; the output end of the first photoelectric detector serves as the input end of the PID controller, a control signal is calculated and sent to the variable optical attenuator, and the frequency calibration module and the signal processing module are jointly and sequentially connected with the acquisition card and the upper computer to output a measurement result. By combining the variable optical attenuator with digital PID feedback control, dynamic and closed-loop locking of local oscillator optical power is realized, an atmospheric absorption spectrum without a slope baseline can be obtained, and the accuracy of measuring the atmospheric gas concentration by the laser heterodyne radiometer is effectively improved.