226results about How to "Improve fidelity" patented technology

The invention relates to the technical field of image recognition, in particular to a red tide algae recognition method based on a hyperspectral image, and the method comprises the following steps: calculating a gradient value of each pixel in a spatial dimension and a spectral dimension according to an original hyperspectral data cube, setting a diffusion coefficient for diffusion, and obtaining a three-dimensional fidelity hyperspectral data cube. According to the method, the gradient change trends of the spatial dimension and the spectral dimension are extracted at the same time pixel by pixel, and the regional differentiation diffusion operation is matched, so that the expression ability of the alga plaque boundary and the consistency of the internal spectral characteristics are enhanced, and the fidelity of the hyperspectral data in fine-grained region identification is improved; upper convex hull calculation of a spectral reflectivity curve and construction of a continuous spectrum background baseline are introduced, and characterization of pigment absorption morphological characteristics is enhanced; and in combination with the characteristic absorption wave bands of chlorophyll and phycobiliary, the synergistic weighted response to the distribution of the algae pigment is realized, and the sensitivity and selectivity of pigment recognition are improved.

The invention belongs to the technical field of numerical simulation and damage intelligent detection, and relates to an aircraft surface structure damage infrared feature simulation and sample generation method. According to the method, through the design of the virtual interface layer and the secondary homogenization, the magnitude order improvement of the full-size transient thermal simulation efficiency is realized while the physical precision is ensured, and batch simulation of a large number of damaged working conditions becomes possible. The physical effect of a sensor of the infrared camera is simulated through high fidelity, so that a simulation image is highly consistent with real external field data in the aspects of noise, texture and other characteristics, and the'simulation-reality 'domain difference is effectively reduced. By directly associating the simulation process with the preset damage parameters, automatic, accurate and zero-error generation of the truth value information is realized, and the problems of high manual labeling cost and poor consistency are fundamentally solved. According to the method, an efficient and reliable data generation way is provided for training a high-precision and high-robustness external field intelligent detection model, and the method has a definite engineering practical value.

The invention discloses an ultrasonic welding quality online detection system and method, and belongs to the technical field of laser non-contact measurement. According to the invention, the laser vibration measurement probe is rigidly coupled to the welding head to construct a follow-up-common-optical-path measurement unit, so that synchronous acquisition of vibration signals with zero mass loading is realized; further extracting an attenuation section after welding is finished from the signal, and inverting an equivalent modal damping ratio representing an interface energy dissipation state based on an exponential attenuation model; meanwhile, multi-dimensional physical indexes such as an energy transfer efficiency index Itrans and an input stability index Iin are calculated, and in combination with an energy absorption state index, collaborative fusion is carried out through a weighted fusion formula to obtain a comprehensive quality score; and finally, realizing quality attenuation early warning based on time sequence trend analysis of a scoring sequence. On-line sensing of the deep dynamic state in the welding process is achieved, the early defect recognition sensitivity and the system anti-interference capacity are remarkably improved, and the predictive maintenance capacity of quality degradation is achieved.

The invention discloses a life body feature separation method based on millimeter-wave radar signal enhancement, and the method comprises the following steps: obtaining an original radar signal, collected by a millimeter-wave radar, of a life body monitoring target, and carrying out the preprocessing of the original radar signal; six types of features are extracted from the preprocessed signals, and the preprocessed signals are divided into four scene types based on the six types of features; according to the divided scene categories, calling a corresponding signal processing model to enhance or reconstruct the preprocessed signal to obtain an enhanced radar signal; and performing signal quality evaluation on the enhanced radar signal, inputting the enhanced signal meeting the quality evaluation requirement into a variational mode decomposition module, and separating a respiration signal and a heartbeat signal of the life body monitoring target. According to the method, the millimeter wave radar vital sign signals in a complex scene are subjected to scene classification and adaptive calling of the model to enhance the signals, breathing and heartbeat are separated through variational mode decomposition, and the vital sign detection precision in a complex environment is improved.

The invention discloses a sonar image geometric correction method based on image optimization, and relates to the technical field of underwater sonar imaging, and the method comprises the steps: collecting a multi-source underwater observation data packet including sonar image original data, platform motion state data and underwater environment data, and carrying out the preprocessing; extracting sonar image original data from the multi-source underwater observation data packet, performing geometric coarse correction to obtain a pre-corrected sonar image, and performing motion compensation on the obtained pre-corrected sonar image to generate a motion corrected sonar image; constructing a joint optimization objective function, carrying out geometric fine tuning on the motion correction sonar image by adopting a sliding time window strategy, and outputting a geometric fine correction sonar image; geometric distortion caused by non-uniform motion of a platform, attitude disturbance and acoustic propagation distortion is effectively eliminated, inter-frame consistency and submarine topography continuity of sonar images are remarkably improved, and the method is suitable for high-precision operation scenes such as underwater surveying and mapping, target recognition and three-dimensional reconstruction.

The invention relates to the technical field of wireless communication, in particular to a multi-scene communication high-fidelity simulation method and system, computer equipment and a medium. The method comprises the following steps: acquiring a channel state information matrix from a plurality of physical environments, converting a complex channel matrix in the channel state information matrix into a dual-channel real number tensor, and constructing an input tensor in combination with a binary mask matrix; the steps of local fine feature and global context dependency extraction, iterative feature fusion and adaptive dimension reduction are executed through a channel processing module, meanwhile, time domain sparsity constraint is applied, and high-fidelity broadband channel state information is reconstructed; and converting the format of the high-fidelity broadband channel state information into a standard complex number channel matrix format according to a real complex number conversion rule. Through the mode, the technical problem of lack of asymmetric information processing capability in the existing channel simulation technology is solved, and the fidelity, the practicability and the environmental adaptability of channel simulation in a complex scene are improved.

The invention discloses a three-dimensional cultural relic 3D scanning ultra-high-definition enhancement method, device and equipment and a medium, and relates to the technical field of three-dimensional modeling, and the method comprises the steps: obtaining a light supplement enhancement image set, carrying out the dense matching strategy of the light supplement enhancement image set, and generating image pairs with consistent structures; minimum coverage rectangular region extraction is carried out on the image pairs with the consistent structures, and redundant complementation region pairs are generated; performing texture completion processing on the receptor region image in the redundant completion region pair to obtain a texture completion image set; and key image pairs are extracted based on the final texture completion image set, a matching point pair set is obtained through scale invariant feature transformation, and a matching point three-dimensional coordinate set is obtained through triangulation of each matching point pair. According to the invention, pixel-by-pixel brightness compensation and color equalization are carried out by combining the time-weighted exposure consistency index, so that illumination equalization adjustment of the region with uneven local exposure is realized.

The application relates to a ZeroMQ-based distributed MQTT high-concurrency connection test method, which comprises the following steps: a control node and a plurality of Worker nodes establish a communication link through ZeroMQ, and each Worker node is instructed to create a corresponding number of Worker processes according to the number of local CPU cores; the control node broadcasts preparation instructions and subtask parameters to all Worker processes, so as to instruct each Worker process to execute a preparation process according to the corresponding subtask parameters; and the control node generates start instructions of each Worker process based on the target execution time of each Worker node, and sends the start instructions to each Worker process, so as to instruct each Worker process to execute a high-concurrency connection test in parallel. The application can truly and accurately evaluate the connection processing performance of a large-scale MQTT cluster under extreme pressure with low-cost hardware resources.

The invention provides a method for generating performance degradation data of a train air braking system. The method comprises the following steps: on the basis of a brake system of a preset model, analyzing three stages of pressure rise, maximum pressure and pressure stability of pressure change of a brake cylinder, and extracting a plurality of typical fault modes; based on an extended random process model with non-monotonicity and independent incremental property, three stages of pressure change of a brake cylinder and multiple typical fault modes are combined, and linear, nonlinear or stepped performance degradation process modeling of the train air brake system is carried out; overlapping normal distribution random noise on a performance degradation track generated by modeling, simulating a control precision error of an actual braking system, and optimizing a performance degradation process model of the train air braking system; and utilizing the train air braking system performance degradation process model to generate train air braking system performance degradation data in batches.

This invention provides an optoelectronic co-packaging structure and its packaging method. Utilizing the excellent optical transparency, thermal stability, and electrical insulation of a glass substrate, it combines through-hole electrical interconnects for electrical signal transmission and through-hole optical interconnects for optical signal transmission. Furthermore, it integrates optical components through dual-surface grooves, solving the problems of low optical interconnect efficiency, poor heat dissipation, and limited integration in traditional optoelectronic co-packaging. This significantly improves the optical interconnect efficiency, heat dissipation performance, and integration of the optoelectronic co-packaging structure. The invention also uses grooves to limit the electrical components, achieving precise alignment and transmission of optical signals and reducing optical coupling loss. Simultaneously, the overlapping of the orthographic projections of the two grooves causes partial vertical overlap of the two optical components, optimizing the optical path and thus greatly enhancing signal fidelity.

The invention discloses a face gear on-machine measurement comprehensive error compensation method based on sequential decoupling. Specifically, a sequential decoupling compensation strategy is provided for solving the problem that the measurement precision is limited due to mutual coupling of a measuring head pre-stroke error and a workpiece installation coordinate system error in the prior art. The method comprises the following steps: firstly, establishing a measuring head pre-stroke error model through standard ball calibration, and performing anisotropic compensation on a tooth surface measuring point by utilizing Delou inner triangulation and a weighted interpolation method; secondly, based on the compensated data, the outer cylindrical surface and the tooth top plane of the face gear are accurately fitted through an iterative optimization algorithm, an accurate measurement coordinate system is established, and the initial phase of the C axis is optimized; and finally, reconstructing an actual tooth surface by adopting a two-stage NURBS curved surface fitting method, and calculating a normal deviation. According to the method, an error propagation chain is effectively cut off through a strict execution sequence, the overall precision and reliability of on-machine measurement are remarkably improved, and a key technical support is provided for face gear closed-loop manufacturing.

The invention provides a method and system for collecting working state data of a manufacturing execution system, and the method comprises the steps: obtaining an equipment working data set, a personnel working video set and a workpiece information set, and respectively extracting a corresponding equipment working feature sequence set and a corresponding workpiece feature sequence set, performing illumination compensation, foreground segmentation and time window splitting on the personnel operation video set, and performing multi-dimensional attitude decoupling, action semantic recognition and production rhythm modeling on the personnel operation video set after the time window splitting to obtain a personnel action feature sequence set; performing dynamic time warping, beat alignment and feature binding based on the production task order to obtain a multi-modal production feature sequence set, and performing collaborative feature enhancement and dimension reduction compression to obtain a multi-modal working time sequence feature sequence set; and by taking the production task order as an edge index, constructing a dynamic hypergraph model of the multi-modal working time sequence feature sequence set, and carrying out man-machine collaborative analysis on the dynamic hypergraph model to obtain a working state data sequence.

This invention provides a method for forming interdigitated electrodes, wherein the interdigitated electrodes are metal stacks. The method includes: providing a piezoelectric substrate; forming a metal material stack and a composite mask material layer on the piezoelectric substrate; the metal material stack includes a first metal material layer and a second metal material layer; the composite mask material layer includes a first mask material layer and a second mask material layer made of different materials; patterning the composite mask material layer to obtain a composite mask layer; the composite mask layer includes a first mask layer corresponding to the first mask material layer and a second mask layer corresponding to the second mask material layer; etching the first metal material layer using the composite mask layer as a mask to obtain a first metal layer, simultaneously consuming the first mask layer; and etching the second metal material layer using the second mask layer as a mask to obtain a second metal layer. This invention solves the problem that the interdigitated electrode material needs to be coated with a thick photoresist, and the unexpected reduction in photoresist thickness during the etching process makes it difficult to control the morphology of the interdigitated electrodes.

The application discloses a kind of based on deep neural network's tire ground pressure distribution form prediction method, method includes: generating simulation sample;Calibration is carried out to simulation sample, and calibration sample is obtained;Performing physical information-driven data enhancement operation, integration generates multi-working condition sample library;Deep neural network model is built;Deep neural network model is iteratively trained and model weight solidification is completed, and prediction model is obtained;It is predicted;The deep neural network of the application is constructed by encoder-decoder architecture, and the tire ground pressure distribution calculation that traditional finite element simulation needs several hours to complete is compressed to millisecond order, and the technical bottleneck of time-consuming physical simulation is broken through.In the absence of any physical sample, only by inputting structure design parameters and working condition parameters, the pressure distribution form covered in full working condition can be obtained in real time, supporting the rapid screening and optimization iteration of hundreds of tire structure schemes in a single day, significantly shortening the tire development cycle.

The invention discloses an online reasoning-oriented verifiable data processing method, device and system, and the method comprises the steps that an evidence obtaining bypass module, an evidence bus and an evidence bin are configured in advance, the evidence obtaining bypass module triggers an abnormal event based on the evidence prompt in the reasoning process, and the evidence obtaining bypass module determines a time window including the triggering moment, an event header is created, an event abstract is generated and transmitted to an evidence bin through an evidence bus, and the event abstract comprises a decision track section and a calculation specification section at the triggering moment; collecting an evidence full text in the time window, dividing the evidence full text into a plurality of evidence blocks and configuring corresponding block indexes; sequentially transmitting the block index and the evidence block to an evidence bin through an evidence bus, generating an integrity verification field, and sending a sealing identifier; and the evidence bin performs integrity verification on the evidence packet after receiving the storage identifier, and if the verification is passed, the evidence packet is modified to be in a storage state. According to the method, verifiable evidence recording, chained storage and playback processing can be carried out on data of abnormal events in the online reasoning process.

The application provides a training system for kidney stone minimally invasive surgery, a training method and a manufacturing method of a kidney model. The training system comprises a kidney model, an image acquisition device, a flexible piezoresistive sensor, a host computer and a display device. The kidney model is internally provided with a stone and a kidney pelvis filled with water. The image acquisition device is arranged at one end of a surgical instrument, used to enter the kidney model with the surgical instrument and acquire an intrarenal image. The flexible piezoresistive sensor is attached to the inner wall of the kidney pelvis near the abdominal side, used to generate an electrical signal according to the water pressure data in the kidney pelvis when the surgical instrument enters the kidney model. The host computer is used to analyze the electrical signal to obtain an intrarenal pressure parameter. The display device is used to perform a training task of the target level kidney stone minimally invasive surgery, obtain a position parameter of the surgical instrument in the kidney model according to the intrarenal image, and display the intrarenal pressure parameter and the position parameter in real time, so that a user operates the stone with the surgical instrument and evaluates the operation.

This invention discloses a virtual immunohistochemical staining method and system based on relation generative adversarial networks (GANs) and sequence slide data, comprising the following steps: Step S1, constructing a sequence slide dataset, wherein each H&E-stained slide is followed by three consecutive Ki67-stained slides; Step S2, constructing a relation generative adversarial network (GAN) model, the model comprising two ResNet generators and two relation discriminators, used to train and evaluate the credibility of the sequence relationship between image pairs; Step S3, performing two-stage training on the relation generative adversarial network model, namely, basic style pre-training and Z-axis alignment relation adaptation. This invention fundamentally solves the Z-axis alignment problem, resulting in higher image fidelity and pathological accuracy, significantly improving clinical application value, and providing new research resources and evaluation paradigms.

The application discloses an aero-engine cooperative scanning method and device, medium and product. The method comprises the following steps: controlling a continuous detection mechanical arm to perform rough scanning on an aero-engine to obtain a rough point cloud model; forming a plurality of candidate viewpoints according to the rough point cloud model; grouping the candidate viewpoints to obtain a plurality of viewpoint groups and forming a joint frustum visibility matrix; obtaining a target viewpoint group sequence according to the joint frustum visibility matrix; adjusting a bending traction rope and / or a rotating traction rope of the continuous detection mechanical arm to control each industrial camera of the mechanical arm to be positioned at each target viewpoint of each target viewpoint group to perform high-resolution shooting, and obtaining a local fine point cloud; and obtaining a high-precision three-dimensional entity model according to the rough point cloud model and the local fine point cloud. The embodiment of the application fundamentally avoids mechanical interference collision damage, realizes full coverage of a complex curved surface space without dead angle, and improves the three-dimensional reconstruction precision and detection efficiency of the aero-engine.

The application discloses a deep-sea in-situ macro-transcriptome RNA multi-stage processing and reverse transcription stabilization method and system, relates to the technical field of deep-sea biology and marine instrument equipment, and has the following components in series in a continuous closed fluid channel: a filtration enrichment cavity, a controlled decompression unit, a program control unit and at least one multifunctional reaction cavity. A temperature control system is integrated in the multifunctional reaction cavity, at least one set of bidirectional opposite electromagnet groups is arranged on the outer side of the cavity wall of the multifunctional reaction cavity, the program control unit is used for controlling the on-off and current of the bidirectional opposite electromagnet groups, and a dynamically switchable spatial magnetic field gradient is generated in the multifunctional reaction cavity to drive magnetic microspheres in the cavity to perform at least one operation, such as adsorption and aggregation, suspension and mixing, in-situ cleaning, transfer between cavities and elution and desorption, without relying on centrifugation. All biochemical operations of the application are completed in the continuous sealed fluid channel, cross contamination of samples and external environment is eliminated, and full-automatic sample processing under a deep-sea environment is realized.

The application discloses an optical power collection device and method, relates to the technical field of optical signal detection, and comprises the following: a photoelectric detector for converting an optical signal into a current signal; a transimpedance amplifier for converting the current signal into a pulse voltage signal; a peak detector for detecting the peak value of the pulse voltage signal; an RC filter network for filtering noise of the pulse voltage signal; a low-frequency amplifier for amplifying the low-frequency pulse voltage signal; an ADC collection module for converting the amplified pulse voltage signal into a digital signal; a first feedback network for adjusting the gain of the transimpedance amplifier; a second feedback network for adjusting the gain of the low-frequency amplifier; and a microcontroller for controlling the first feedback network to adjust the gain of the transimpedance amplifier according to the peak value of the pulse voltage signal and for controlling the second feedback network to adjust the gain of the low-frequency amplifier according to the digital signal.

This invention discloses a baseline removal method for multi-channel magnetocardiogram (MCC) signals based on wavelet low-frequency reconstruction and morphological secondary smoothing. The invention includes: acquiring multi-channel MCC signal data; performing power frequency notch filtering on each channel to suppress the power frequency fundamental frequency and at least one harmonic component; performing configurable IIR low-pass filtering on the notched signal; setting a discrete wavelet transform extension mode and performing discrete wavelet decomposition on the filtered signal; selectively retaining decomposition coefficients based on the retention layer set and setting the remaining coefficients to zero, then performing inverse wavelet reconstruction to obtain an initial baseline estimate; performing morphological secondary smoothing on the median-smoothed baseline signal to obtain a corrected baseline signal; subtracting the corrected baseline signal from the filtered signal to obtain the baseline-corrected channel signals; and assembling and outputting a multi-channel baseline-corrected signal matrix. This invention can improve the stability and cross-channel consistency of baseline estimation for multi-channel MCC signals, reduce the risk of over-correction and under-correction, and is applicable to multi-channel batch processing scenarios.

This invention relates to the field of biotechnology, and more particularly to a mutant of the Rift Valley fever virus L protein and its applications. The amino acid sequence of the mutant is based on the amino acid sequence shown in SEQ ID NO:1, with mutations made at position 1189 (aspartic acid) and / or position 1205 (tryptophan). Through cryo-electron microscopy structural analysis and in vitro mismatch experiments, this invention has confirmed that both identified key amino acid sites are involved in regulating the synthetic fidelity of viral polymerase: mutation at N1189 decreases the synthetic fidelity of the polymerase, while mutation at W1205 increases it. This invention not only provides a new target for the development of attenuated vaccines but also provides crucial evidence for elucidating the molecular regulatory mechanisms of RNA virus fidelity.

The invention discloses a complex-material-oriented multi-path full-frequency global illumination neural rendering method and system, and belongs to the technical field of computer graphics, and the method comprises the steps: carrying out the scene query of light emitted by pixels, and obtaining a primary geometric buffer and a multi-path mixed geometric buffer of the multi-time ejection of the light; respectively extracting main frequency features and multi-path sub-frequency features in a neural feature field based on the two features; performing directed graph structured modeling based on the multi-path sub-frequency features to obtain propagation features representing light path propagation information and global features representing overall light path information; performing multi-path frequency joint feature fusion based on the dominant frequency feature, the propagation feature and the global feature to generate a fusion feature with a full-frequency feature; and estimating a final radiation brightness value of the pixel based on the fusion feature, and completing neural rendering of global illumination. According to the method, efficient modeling and high-quality drawing of multi-path full-frequency global illumination under a complex material can be realized, and the sense of reality and dynamic consistency of a rendered image are remarkably improved.

A flame imitation manufacturing device of a fireplace relates to a flame imitation manufacturing device for simulating the burning state in a fireplace in the field of household appliances. Said device comprises a housing, a cross flow fan and a light source mounted on a base plate of the housing, a simulated fire chamber mounted on a back plate of the housing, ribbons mounted on the back plate of the housing by means of upper and lower strip bars and above the cross flow fan, and a light-transmitting glass plate mounted on the housing and in front of said ribbons. This invention, characterized in that said cross flow fan is a swinging one, is advantageous in that supplying wind non-directively by utilizing the swinging of said fan improves the flying state of ribbons so as to make the image state of burning flames more vivid, greatly enhances the authenticity of flames and lowers the cost thereof, and thus is adaptable to various flame imitation electrical-heated fireplaces and electrical appliances.

The present application relates to the technical field of infrared image processing, and provides an end-side lightweight infrared image denoising method and device and electronic equipment.The method comprises the following steps: acquiring an infrared image with noise to be processed; inputting the infrared image with noise into a target lightweight network trained in advance to output a predicted denoising image; the target lightweight network is obtained by optimization in a training stage based on a joint loss function; the joint loss function at least comprises a pixel-level reconstruction loss, a gradient domain sparse regularization loss and a vertical direction smoothing constraint loss; the gradient domain sparse regularization loss constrains a residual image between a reference image and the predicted denoising image, so that the residual image remains sparse in the gradient domain; the vertical direction smoothing constraint loss is used to calculate a difference value of adjacent pixels in the vertical direction of the predicted denoising image, and the difference value is punished to suppress horizontal stripe noise in the infrared image.The present application solves the contradiction between limited computing power and high-fidelity denoising.

A ball-drop controlled core extraction tool and method are disclosed, relating to the field of core recovery. The ball-drop controlled core extraction tool includes an outer tube assembly consisting of a drill pipe joint, an outer tube, and a drill bit connection; and an inner tube assembly consisting of a ball-drop diverter, a torsion actuator, an inner core tube, and a core extractor connection. The core extractor includes an inner shaft sleeve connected to the inner core tube, an outer shaft sleeve, and multiple rotatable cutting blades. The ball-drop diverter selectively delivers mud simultaneously to the mud channel and torsion actuator between the outer tube assembly and the inner tube assembly, or pressurizes the mud and delivers it separately to the torsion actuator. The torsion actuator drives the outer shaft sleeve to rotate relative to the inner shaft sleeve during pressurized mud delivery, thereby driving the cutting blades to rotate synchronously and cut the core. The ball-drop controlled core extraction tool and method allow operators to easily use mechanical transmission to control the rotation of the cutting blades at the surface to cut and support the core.

The application relates to the technical field of magnetic detection, in particular to a method and a test system for coupling a magnetic gradiometer and a SQUID to improve sensitivity, which comprises the following steps: deploying at least one set of magnetic gradiometer probe arrays in a superconducting shielding environment to obtain original magnetic gradiometer tensor data streams of a target area; feeding a multi-channel SQUID front-end input coil through a superconducting transmission line; completing magnetic flux locking and amplification to generate a preliminary signal by the SQUID; suppressing environmental and SQUID background noise by using an adaptive digital noise reduction processor to obtain a high-fidelity magnetic gradiometer signal; and generating a high-resolution magnetic gradiometer distribution map through gradient reconstruction and spatial resolution enhancement. The superconducting shielding environment combines array acquisition to suppress external interference and retain complete tensor characteristics, and the superconducting transmission line combines a multi-channel SQUID to reduce transmission noise and cumulative error, so that the signal is closer to the original state, and the SQUID locking sensitivity and amplification fidelity are improved. The application improves the sensitivity of magnetic gradiometer detection and the accuracy of target identification.

The application discloses an image coloring method and device based on iterative optimization and a medium, relates to the technical field of image processing, and comprises the following steps: acquiring a grayscale image; performing initial coloring on the grayscale image by using a trained conditional coloring model to obtain an initial coloring result; performing color evaluation on the initial coloring result by using a trained evaluation model, identifying a region in the initial coloring result that does not meet a set standard of color confidence, and obtaining an unsatisfactory region; performing re-coloring on the unsatisfactory region by using the trained conditional coloring model to obtain an updated coloring result; replacing the initial coloring result with the updated coloring result, repeating the re-coloring and evaluation processes, obtaining a final coloring result, and decoding the final coloring result to obtain a final color image. The application realizes higher reality and fidelity in image coloring.

The invention belongs to the technical field of avionics testing and signal simulation, and discloses an LVDT analog simulation circuit and a signal simulation method thereof, and the LVDT analog simulation circuit comprises a main control module, a communication interface module, an excitation signal processing module and a sensor signal simulation output module. The main control module receives an external displacement setting instruction through the communication interface; the excitation signal processing module comprises a DAC unit and an excitation conditioning unit and is used for generating amplitude control voltage and conditioning an external LVDT excitation signal; the sensor signal simulation output module serves as a core and comprises a difference value control unit, a sum value control unit, a summation unit and a differencing unit, a conditioned excitation signal and amplitude control voltage are synthesized through an analog multiplier and an operational amplifier circuit, and finally three-phase differential signals (a high end, a low end and a center tap) simulating a real LVDT sensor are output. A mechanical LVDT is replaced by a full-electronic mode, high-precision, programmable and flexible simulation of displacement signals is achieved, the device is particularly suitable for occasions needing high-reliability LVDT interface testing and verification such as an aviation flight control system, and the device has the advantages of being low in cost, high in flexibility and easy to integrate automatic testing.

The utility model discloses a kind of endoscope host equipment matched with multiple handles, including interface module and signal processing system, interface module is structured as MXM interface, for receiving the image data of handle image sensor acquisition, including digital interface and analog interface for connecting digital signal line and analog signal line respectively.Signal processing system is connected to interface module, including analog-digital converter, synchronous FIFO module, line buffer module and output port.Wherein, analog-digital converter is connected to the analog interface, for receiving analog signal and converting it into digital signal;Synchronous FIFO module is connected to the analog-digital converter and the digital interface, for receiving digital signal, and realizing data buffering;Line buffer module is connected to the synchronous FIFO module, for rearranging to form the image data of RAWData format to image data, and buffering to image data;Output port is connected to the line buffer module, for outputting digital signal.