14 results about "Analog signal processing" patented technology

The invention discloses a pointing stick analog signal sampling circuit and method, and the method comprises the steps: connecting a strain gauge signal resistor bridge to one end of a sampling capacitor, connecting a variable voltage unit to the other end of the capacitor, transmitting a signal to the capacitor in a charging manner after a preset time, disconnecting the strain gauge signal resistor bridge, and carrying out the sampling of a pointing stick analog signal. And then analog-to-digital conversion is further carried out on the signal on the sampling capacitor. In the most critical analog-to-digital conversion step of analog signal processing, the sensor is completely disconnected with the circuit, so that the interference of external interference sources such as a mobile phone and the like on the circuit through the sensor during analog-to-digital conversion is reduced. Besides, when the signal is transmitted to the sampling capacitor for conversion, the voltage of the specified variable voltage source can correct the resistance matching problem of the sensor in the strain gauge resistance bridge in a large range, so that the strain sensor can still work when the resistance value of the strain sensor exceeds 20% of the preset value.

This invention discloses a simulation system and method for submarine radar, primarily addressing the limitations of existing technologies in performance testing and verification during algorithm development, and the inability to simultaneously conduct testing and verification alongside practical training for submarine radar professionals on a single simulation platform. It integrates a situation generation unit, a signal simulation unit, and a display and control unit into a single software system. The situation generation unit simulates radar antenna scanning, generates simulated radar echo data, and sends this data to the signal simulation unit for signal processing. The display and control unit provides a human-machine interface for displaying radar video and controlling the interface. The signal simulation unit simulates the radar processing cabinet, performing hardware module status simulation, signal processing, and data processing functions. This invention is simple to deploy, requires no complex hardware, has low maintenance costs, and can be used to verify the effectiveness of signal processing and target tracking algorithms while simultaneously supporting operational training for radar professionals.

The application provides an injection-production simultaneous measurement universal acquisition circuit, and belongs to the technical field of oil well development. The circuit comprises: an analog signal processing board and a control acquisition board; the analog signal processing board comprises: a temperature signal processing module, which is used for converting a temperature signal in a well into an analog voltage signal; a pressure signal processing module, which is used for converting a pressure signal in the well into a first analog differential signal; and a pressure difference signal processing module, which is used for converting a pressure difference signal in the well into a second analog differential signal; the control acquisition board comprises: a main control module; a multi-channel pulse acquisition module, which is used for detecting pulse signals of different layers in the well; and a UART interface module, which is used for receiving a command issued by a communication board and sending at least one of data of a water nozzle driving assembly, data of an electric conductivity water holding flow assembly and data of an ultrasonic flow assembly to the communication board. The application is used to solve the problems of insufficient completeness of downhole detection parameters and incompatibility of injection and production well dynamic monitoring.

An optical transceiver (101) of an optical relay apparatus includes: a coherent reception front-end unit (110) that coherently detects an input optical signal to be input, based on local oscillation light, and outputs the coherently detected first analog electric signal; a coherent transmission front-end unit (120) that coherently modulates a second analog electric signal acquired by turning around the first analog electric signal, based on transmission light, and outputs the coherently modulated output optical signal; and an analog compensation unit (130) that performs analog signal processing on the first analog electric signal in such a way as to compensate for signal quality according to a signal characteristic between an input of the coherent reception front-end unit (110) and an output of the coherent transmission front-end unit (120), and thereby generates the second analog electric signal.

An analog signal processing circuit can include a front-stage processing module configured to process an analog signal to generate a first differential signal; at least one switched capacitor circuit, coupled with the front-stage processing module to receive the first differential signal, and configured to integrate or sample and hold the first differential signal to generate a second differential signal; and where the front-stage processing module and the at least one switched capacitor circuit receive synchronous control signals, the front-stage processing module chops the analog signal according to the control signals, and the at least one switched capacitor circuit is in different operating modes at a first phase and a second phase of an operation cycle of the control signals, in order to eliminate DC offset voltages of the front-stage processing module and the at least one switched capacitor circuit.

This invention provides a controller signal input circuit, comprising: a signal input terminal for receiving acquired signals, a channel selection circuit module, and a signal processing circuit module; the signal processing circuit module includes a digital signal processing unit and an analog signal processing unit; the channel selection circuit module sends the acquired signal to its first or second channel switching terminal based on the control signal received at its channel control terminal; the digital signal processing unit adjusts the acquired signal input at the first channel switching terminal into a digital input signal adapted to the controller of agricultural machinery and sends it to the controller through its first signal output terminal; the analog signal processing unit adjusts the acquired signal input at the second channel switching terminal into an analog input signal adapted to the controller and sends it to the controller through its second signal output terminal. The technical solution provided by this invention can achieve the acquisition and processing of multiple types of signals through only one signal input terminal, saving resources.

The application relates to the technical field of unmanned aerial vehicle management and control, and discloses a full-frequency-band unmanned aerial vehicle identification management system and method based on deep learning; the system comprises a signal processing module, which converts original analog signals into digital signals; a time-frequency graph construction module, which splices time-frequency subgraphs into a time-frequency graph in sequence; a deep learning module, which identifies unmanned aerial vehicles as local unmanned aerial vehicles or out-of-domain unmanned aerial vehicles; a first instruction formulating module, which formulates continuous flight instructions or flight adjustment instructions; and a second instruction formulating module, which formulates sensitive driving instructions or electromagnetic shielding instructions; the application can construct an extraction system for autonomously and hierarchically identifying high complexity features of unmanned aerial vehicles, can satisfy the real-time position monitoring and dynamic management effect of different types of unmanned aerial vehicles in a target management airspace, and can perform targeted signal intervention or forced management on the dynamic flight conditions of local unmanned aerial vehicles and out-of-domain unmanned aerial vehicles, thereby reducing the negative influence of unmanned aerial vehicles on the target management airspace.

The application provides a time domain adaptive burst signal detection method, device, system, equipment, medium and product, which comprises the following steps: performing radio frequency analog signal processing on a received radio signal to generate an analog intermediate frequency signal; performing digital signal processing on the analog intermediate frequency signal after sampling to generate baseband IQ data; performing autocorrelation accumulation and smoothing filtering on the baseband IQ data to calculate an adaptive burst detection threshold; and performing burst signal detection on the baseband IQ data by using the adaptive burst detection threshold. The application takes the actually sampled signal as prior information to calculate the adaptive burst detection threshold and thus completes the burst signal detection, so that the burr false alarm caused by the influence of environmental noise can be effectively avoided.

This application provides a SiC MOSFET active drive system and method integrating crosstalk suppression and online gate oxide degradation monitoring, addressing the problem that existing SiC MOSFET active drive circuits cannot simultaneously achieve crosstalk suppression and gate oxide degradation monitoring. It includes a crosstalk suppression circuit and an online gate oxide degradation monitoring circuit; the crosstalk suppression circuit comprises a push-pull and charge pump unit and a negative voltage delay and self-attenuation unit; the online gate oxide degradation monitoring circuit includes an analog signal processing unit and a digital logic unit. This application adaptively adjusts the negative turn-off voltage online to suppress positive crosstalk and eliminates the risk of negative crosstalk breakdown through a self-attenuation mechanism. Simultaneously, the monitoring function extracts degradation parameters using the gate voltage discharge characteristics during normal turn-off, exhibiting extremely low temperature dependence and non-intrusive characteristics, without interfering with the normal power transmission of the converter.

The application belongs to the field of optical fiber communication, and discloses a dispersion simulation transmission link and a dispersion simulation method based on analog signal processing. The dispersion simulation transmission link comprises a coherent transmitter, an IQ modulator, lasers with different wavelengths, an interference receiving chip (ICR), a Bragg dispersion compensation grating (FBG-DCM) and a coherent receiver. Data is sent from the coherent transmitter, first passes through the ICR to convert the optical field into the electrical domain, and is modulated into a new optical field by the IQ modulator. The output end of the ICR has two optional paths. The first path is connected to the IQ modulator, uses the secondary emission of intrinsic light with different wavelengths, and converts the wavelength to the FBG-DCM compensation window. After the above steps, the original wavelength is converted by the IQ modulator after being received by the ICR for transmission, so that the superposition of negative dispersion is realized. The second path is connected to the IQ modulator, uses the secondary emission of intrinsic light with different wavelengths, realizes the phase conjugation and converts to the FBG-DCM compensation window at the same time. After the above steps, the ICR receives and realizes the superposition of positive dispersion.

1. The name of the design product: portable decoding earphone (MD3). 2. The use of the design product: for digital audio signal to analog signal processing and analog signal amplification. 3. The design points of the design product: in shape. 4. The picture or photo that best shows the design points: perspective view 1.

The utility model discloses a zero -crossing point comparison circuit for frequency measurement relates to frequency measurement technical field, and this circuit includes: for the differential homophase amplification circuit of amplitude amplification processing to the sampling signal after voltage division, for comparing the sampling signal with reference signal after amplitude amplification processing to the comparison circuit of high low level logic signal output based on the comparison result, for the voltage follower circuit of high low level logic signal transmission to the analog -to -digital conversion chip. The zero -crossing point comparison circuit provided by the utility model has completed the most critical analog signal processing and zero -crossing detection work, and the singlechip only needs to configure an external interrupt or input capture channel, records time when detecting the edge jump every time, and the software only needs to calculate the time difference between two zero -crossings in succession and obtains frequency by reciprocal, thereby greatly simplifying the software design.

A system for the non-invasive estimation of intracranial pressure, comprising: a housing structure configured to enclose and support a variety of interconnected components; a cerebral blood flow measurement unit positioned within or connected to the housing structure and configured to detect physiological signals representative of blood flow in the intracranial vessels of a subject; an analog signal conditioning unit operatively connected to the cerebral blood flow measurement unit, comprising at least one low-noise amplification circuit, at least one band-limiting filter circuit, and an impedance matching circuit configured to improve signal quality and suppress noise components;An analog-to-digital converter unit operationally linked to the analog signal processing unit and configured to convert processed analog signals into digital signal representations with a predefined sampling rate and resolution; a computing unit comprising at least one processor and at least one dedicated signal processing circuit, the computing unit being configured to receive the digital signal representations and perform preprocessing, feature extraction, and physiological modeling operations; a storage unit operationally linked to the computing unit and configured to store physiological parameters, calibration data, and modeling coefficients; and an output interface unit configured to generate intracranial pressure values ​​based on processed signals and to display or transmit these intracranial pressure values.