485results about How to "Reduce jitter" patented technology

The invention belongs to the technical field of intelligent traffic, and discloses a space-time fitting-based whole vehicle type traffic feature accurate recognition algorithm, which comprises the steps of obtaining driver behavior data, vehicle dynamic data and road supervision data; preprocessing the driver behavior data, the vehicle dynamic data and the road supervision data to obtain a driver behavior feature data set, a vehicle dynamic feature data set and a road supervision feature data set; according to the vehicle dynamic feature data set and the road supervision feature data set, obtaining a vehicle initial driving track; optimizing the initial driving track of the vehicle through an improved space-time interpolation algorithm to obtain a complete driving track of the vehicle; according to the complete driving track of the vehicle, the vehicle driving speed of each road section is calculated and compared with the limiting speed of the corresponding road section, and whether the vehicle is overspeed is judged; and traffic accidents caused by overspeed, fatigue driving and the like are effectively avoided.

The invention belongs to the technical field of network transmission, and particularly relates to a time-sensitive network flow routing and scheduling method based on centralized control. Comprising the steps that CNC constructs network topology and generates global topology information; the CUC collects demand information of each to-be-transmitted traffic from each source node and divides traffic priorities according to the demand information; the CNC generates an optimal transmission path for each flow according to the global topological information; the CNC distributes a transmission time slot for each flow and dynamically adjusts the transmission time slot; carrying out synchronous distribution on the optimal transmission path and the transmission time slot, optimizing the transmission time slot and controlling the jitter of the transmission time slot; a scheduling table is generated according to the final distribution result of the paths and the time slots, and the CNC distributes the scheduling table to each network device; when the network state is changed, the scheduling table is dynamically adjusted to realize real-time routing and scheduling of the flow; according to the invention, the dynamic management of the flow priority is realized, the utilization rate of network resources is enhanced, and the service quality and high availability of transmission are ensured.

The invention discloses equipment and a method for detecting the strength of an annular section of a large-diameter TA31 pipe, and relates to the technical field of pipes. According to the annular section strength detection equipment for the large-diameter TA31 pipe, through the design of a composite mechanism, the pipe is placed in the processing mechanism, the pipe space is restrained through the limiting mechanism, the pipe is prevented from moving in the inspection process, danger to workers is avoided, and therefore normal operation of the equipment is kept; the fixing mechanism controls the pipe to rotate and rub with the processing mechanism, so that the effect of cleaning the surface of the pipe is achieved, the situation that stains on the surface of the pipe affect the detection effect is avoided, a hydraulic rod controls a pressing plate to extrude the surface of the pipe, and the detection effect on the annular section strength of the pipe is achieved; therefore, the friction force on the surface of the pipe is increased, the pipe is prevented from shaking in the downward pressing process, and the operation stability is improved.

The invention discloses an NURBS curve robot trajectory offset point focusing fitting method based on adaptive optimization, which remarkably improves trajectory precision and calculation efficiency through adaptive optimization focused on an error offset point. The method comprises the steps of initial path planning, NURBS curve fitting, error evaluation and offset point extraction, adaptive optimization and real-time feedback adjustment. In error evaluation, double indexes of a root-mean-square error and a maximum absolute error are adopted, an offset point is accurately identified, a control point, a weight and a node vector are focused and optimized by using a genetic algorithm, and local optimum is effectively avoided. A regularization item is introduced into a fitness function, curve complexity and precision are balanced, and smoothness and feasibility of a track are achieved. And finally, real-time adjustment of the trajectory is realized through a multi-feedback mechanism, and the robustness of the robot in a dynamic environment is improved. Compared with the prior art, the precision, the real-time performance and the environmental adaptability of track generation are realized, and particularly, an efficient and accurate track fitting effect is achieved in a complex dynamic environment.

The invention relates to the technical field of panoramic video processing, in particular to a panoramic video stability enhancement method based on space-time consistency, which comprises the following steps: acquiring a panoramic video frame sequence; obtaining spherical projection coordinates of each frame in the panoramic video frame sequence; based on the spherical projection coordinates, a deep learning model is constructed, and the deep learning model comprises a feature extraction encoder and a motion prediction compensation decoder; performing feature extraction on the panoramic video frame sequence by using a feature extraction encoder; performing motion prediction and compensation by using a motion prediction compensation decoder based on a feature extraction result; constructing a space-time filter according to the motion prediction and compensation result, and smoothing the motion vector; based on the smoothed motion vector, performing multi-frame motion analysis by using a long time sequence network; according to a multi-frame motion analysis result, designing panoramic video optical flow motion estimation; performing stable enhancement processing on the panoramic video frame sequence based on an optical flow motion estimation result; and outputting the stably enhanced panoramic video.

The invention discloses a video virtual fitting framework in a real scene based on a controllable image diffusion model. The video virtual fitting framework comprises a data preprocessing module used for constructing feature expressions of figures and clothes; the single-stage image fitting network is used for generating a virtual fitting image based on the preprocessed data and performing implicit deformation and fusion of clothes by using a cross attention mechanism; the diffusion guiding module is used for enhancing the time sequence consistency of the generated video, a self-supervision model Video MAE and a self-supervision image model DINO-V2 are introduced, the video is masked by the self-supervision model Video MAE, and a complete video is reconstructed through inter-frame information; and the long video generation module is used for generating a long video and keeping the consistency of the video, splitting the complete video into a plurality of short video clips, and reducing the jitter at the clip joints by using a time sequence common noise reduction strategy. The diffusion guiding module is designed, efficient time sequence consistent video virtual fitting is achieved through self-supervised learning, and the method has the advantages of being excellent in shielding processing, stable in long video generation and the like.

The present invention relates to the technical field of gear grinding machines, and discloses a CNC forming gear grinding machine, including a machine base, a fixed frame arranged on the machine base, a control box arranged on the front side of the machine base, and a three-axis control unit arranged on the fixed frame, and also includes a bearing assembly and a gear grinding assembly arranged on the three-axis control unit, a protective frame arranged on the gear grinding assembly, and a protective mechanism arranged on the protective frame. This CNC forming gear grinding machine can quickly and effectively absorb and disperse vibration energy when the grinding wheel first shows signs of shaking through an anti-shake assembly, thereby achieving a preliminary shock absorption effect, thereby reducing fatigue vibration of the grinding wheel when working for a long time, and further absorbs and consumes vibration energy through a damping assembly, thereby achieving deep suppression of grinding wheel shaking, and significantly improves the stability during the grinding process through the dual shock absorption mechanism of the anti-shake assembly and the damping assembly, thereby ensuring the accuracy of gear processing and reducing processing errors caused by shaking.

The invention discloses a 35mm breathing-eliminating full-frame camera lens, and aims to solve the problems that in the prior art, when a visual angle is slightly enlarged or shrunk due to focus change, unnecessary jitter of a picture is caused, the fluency and ornamental value of a video are influenced, and the visual angle is slightly enlarged or shrunk. The lens comprises a variable diaphragm, and a first lens group, a second lens group and a third lens group which are sequentially arranged from an object side to an image side, the first lens group is composed of seven lenses and serves as a fixed group of the camera lens, and the focal power is positive; the iris diaphragm is located between the first lens group and the second lens group; the second lens group is composed of three lenses and serves as a focusing group of the camera lens, and the focal power is positive; the third lens group is composed of two lenses and serves as a fixed group of the camera lens, and the focal power is negative.

The invention belongs to the technical field of braking force control, and particularly relates to a braking force control method which comprises the following steps: S01, vehicle state and environment detection; s02, making a braking force distribution strategy; s03, brake operation is executed; and S04, evaluating and optimizing the braking effect. According to the braking force control method, through the braking effect evaluation and optimization steps, the difference between the actual braking distance and the expected braking distance is evaluated, various information in the braking process is collected and analyzed, the information provides data support for continuously optimizing the braking force control strategy, the braking distance can be further shortened, the braking efficiency is improved, and the braking force control method is suitable for being popularized and applied. Meanwhile, key factors influencing the braking effect can be identified and the influence degree of the key factors on the braking performance can be quantified through application of a data analysis and modeling technology, subsequent further optimization is facilitated, and shaking and noise in the braking process are reduced by accurately controlling braking force distribution and utilization of friction force between tires and the ground.

The invention relates to a parameter adjustment method and device, electronic equipment and a storage medium. The parameter adjustment method comprises the following steps: determining a target parameter and / or a current display interface of the display equipment; determining an adjustment scene according to the type of the target parameter and / or the current display interface; determining a target adjustment mode according to the adjustment scene; and adjusting display parameters of the display equipment according to the target adjustment mode. According to the embodiment of the invention, by determining the target parameter and / or the current display interface of the display equipment, the adjustment scene and the target adjustment mode are determined, and the display parameter of the display equipment is adjusted according to the target adjustment mode. Therefore, according to the type of the target parameter and / or the current display interface, the target adjustment mode conforming to the adjustment scene can be determined, and the parameter adjustment requirements in different scenes are met.

The invention relates to a multichannel PCM data real-time acquisition and output system and method based on an ALSA framework, and the system comprises a multichannel analog quantity input unit and a multichannel analog quantity output unit, and also comprises a system configuration unit, a memory resource unit, an AD acquisition conversion unit, an audio routing unit, a DA output conversion unit and an ALSA DMA cache region distribution unit. The ALSA DMA cache region allocation unit is used for building a PCM data path of a user space and a kernel space and providing an annular cache region queue for storing DMA resource descriptors, and the audio routing unit obtains the returned DMA resource descriptors from the ALSA DMA cache region allocation unit and allocates the DMA resource descriptors to an output end to complete synchronous multichannel input and output of PCM data. According to the system provided by the invention, the ALSA DMA buffer area distribution unit is adopted, so that the DMA configuration process is simplified, and the data transmission efficiency is improved.

The invention relates to a ceramic product and a preparation method thereof, in particular to a preparation method of a carbon-ceramic brake disc with a composite friction layer and the carbon-ceramic brake disc, which are used for overcoming the defects that the production cost is increased and the large-scale application of the carbon-ceramic brake disc is restricted due to low material utilization rate in the manufacturing process of the carbon-ceramic brake disc. The preparation method of the carbon-ceramic brake disc with the composite friction layer sequentially comprises the following steps of preparation of the carbon-carbon composite material, rough machining, preparation of the heat conduction functional layer, preparation of the composite friction layer, ceramic treatment and finish machining. The heat conduction function layer can effectively reduce the temperature of the disc face in the braking process, the service life of calipers and other surrounding accessories is prolonged, the components of the composite friction layer are uniform and can be designed, and noise and shaking can be reduced in the braking process; in addition, the utilization rate of raw materials is improved and the production cost is reduced by using the residual stub bar. Meanwhile, the invention further discloses a carbon ceramic brake disc with the composite friction layer.

The invention relates to the field of network live broadcast, and discloses a live broadcast stream image segmentation method and device, equipment and a medium, and the method comprises the steps: sequentially calling image frames from an image sequence of a live broadcast stream as current image frames; a depth estimation segmentation model is called, a segmented figure mask corresponding to the figure image is determined based on the current image frame, and the depth estimation segmentation model is supervised and trained by using scene depth information; performing inter-frame smoothing processing on the segmented figure mask of the current image frame by using the practical figure mask iteration of the historical image frame to obtain a practical figure mask of the current image frame; and determining a figure image in the current image frame according to the practical figure mask of the current image frame. By fusing the depth information and the inter-frame smoothing technology, real-time, accurate and stable live broadcast stream image segmentation is realized, the live broadcast watching experience is improved, and the industry technology progress is promoted.

The utility model discloses an automobile rear frame mold, and belongs to the technical field of automobile rear frame molds. The automobile rear frame mold comprises a bottom plate, a guide rail is fixedly connected to the upper surface of the bottom plate, a lower pressing block is slidably connected to the outer wall of the guide rail, a containing table is fixedly connected to the upper surface of the bottom plate, a servo motor is arranged in the bottom plate, and the output end of the servo motor is fixedly connected with a gear; according to the device, a sliding block is pulled to move when a rotating plate rotates, the sliding block is supported by a first supporting rod and a second supporting rod, so that when a positioning plate clamps the four edges of a material plate, the four edges of the material plate are more attached, the material plate is effectively prevented from moving in the stamping process, a lower pressing block enables a limiting block to enter a groove in the descending process, and the material plate is prevented from moving. Accurate alignment of the lower pressing block during stamping can be ensured, so that deviation and shaking of the lower pressing block caused by deformation of a material plate are reduced, and the positioning precision is further improved.

The utility model provides a piston pin convenient to install, and belongs to the technical field of piston pins. The groove is formed in the circumferential surface of the piston pin; the limiting rod is fixedly connected to the circumferential surface of the piston pin; the elastic sleeve is arranged on the circumferential surface of the piston pin in a sleeving mode, and the elastic sleeve is located in the groove; the circular holes are formed in the circumferential surface of the elastic sleeve, the stability of the piston pin in the moving process can be guaranteed through the existence of the elastic sleeve, possible deviation or shaking is reduced, meanwhile, the hollow grooves with the depth being 1 cm are formed in the circumferential surface of the piston pin, and due to the design, the weight of the piston pin is reduced, abrasion is reduced, and the service life is prolonged. And the elastic sleeve is flush with the piston pin, so that the appearance of the piston pin is smoother, the friction between the piston pin and other parts is reduced, and the maintenance cost is further reduced.

The invention relates to a braking control method based on the comfort of an automatic driving vehicle, which comprises the following steps of: 1, collecting the speed and distance information of a front obstacle, and analyzing the collected road information and vehicle information; comprehensively judging whether the condition is an emergency condition or not by combining the current speed of the vehicle, the speed of the front vehicle, the distance information with the obstacle and the like; 2, learning a Q matrix in model prediction control through a TD3 deep reinforcement learning algorithm; 3, the model prediction control model estimates the current braking stage according to the information input data, and calls a Q matrix which is suitable for the current stage and has the best comfort from a strategy library to carry out optimization solution; 4, calling the trained Q matrix to carry out optimization solution so as to generate a most comfortable control sequence; and 5, the control sequence is transmitted to a vehicle control module for signal conversion, braking torque is generated, and the pitch angle of the whole vehicle is made to be within a comfortable range.

The invention provides an improved sliding-mode observer for permanent magnet synchronous motor position sensorless control. A traditional sliding-mode observer can cause a jitter phenomenon of observation information in motor control. According to the method, the control equation of the sliding-mode observer is redesigned, the adaptive rate is combined, and a low-pass filter is replaced, so that the estimation precision of the back electromotive force is improved. A hyperbolic tangent function is used to replace a sign function to alleviate the jitter problem of the observer, and a phase-locked loop technology is used to replace an arc tangent function to reduce estimation errors and phase delay. The feasibility of the control system is verified by building a system simulation model based on a static coordinate system in MATLAB / Simulink. A simulation result shows that the control system reduces the rotor speed error and the rotor position error, so that the control performance and the stability of the permanent magnet synchronous motor are improved.

The utility model relates to an anti-deviation strip steel unwinding device, and belongs to the technical field of strip steel machining. The flattening device mainly comprises a rack, a rotating shaft, a driving mechanism, an abutting mechanism, a supporting frame, a support, a flattening mechanism and a limiting mechanism. A strip steel coil is installed on the rotating shaft through the abutting mechanism, an inner ejector block abuts against a winding drum of the strip steel coil, strip steel is limited through a baffle and a limiting rod, shaking of the strip steel in the unwinding process is reduced, and therefore the deviation possibility of the strip steel coil is reduced, the driving mechanism drives the rotating shaft to rotate, then the strip steel is driven to be unwound, and the strip steel penetrates through the flattening mechanism and the limiting mechanism. The radial deviation range and the axial deviation range of the strip steel are limited, so that the strip steel is gradually unwound, shaking of the strip steel in the unwinding process can be effectively avoided, then stable conveying of the strip steel is ensured, and deviation and disorder of strip steel unwinding are avoided.

The utility model discloses a spin riveting binding head which comprises a shell, a workpiece to be machined is arranged below the shell, a machining part used for conducting binding machining on an opening of the workpiece is arranged on the shell, and an included angle a is formed between the machining part and the shell. The rotary riveting binding head solves the problem that in the prior art, a traditional rotary riveting binding head is low in machining quality. The device has the advantages of being simple in structure, convenient to use, high in stability, high in yield and the like.

The invention discloses a method for improving jittering in the flameout and shutdown process of a diesel engine, and belongs to the technical field of diesel engine control. The method for improving jittering in the flameout and shutdown process of the diesel engine comprises four subsystems including an ECU module, an electronic control unit module, a valve body control module and a post-processing module; the ECU module is responsible for monitoring and identifying data returned by the sensor and sending corresponding operation to the electronic control unit module according to the data; the electronic control unit module is responsible for receiving data of the ECU module and controlling the valve body control module according to the data. In the flameout shutdown process, the electronic control unit automatically recognizes the flameout working condition of the diesel engine, so that the control instruction is sent to the exhaust brake valve and the in-cylinder brake valve to close the exhaust brake valve and the in-cylinder brake valve, and therefore the diesel engine can generate large air suction resistance in the flameout process to restrain and consume rotation energy of a flywheel; therefore, shaking generated in the flameout process of the flywheel is restrained and absorbed, and the diesel engine is prevented from being damaged.

The invention provides a clamping mechanism and a robot with the clamping mechanism, the clamping mechanism is used for clamping a target workpiece, a penetrating opening is formed in the target workpiece, and the clamping mechanism comprises a supporting frame, a clamping mechanism and a driving mechanism, and the supporting frame is movably arranged along a preset track; the clamping assembly is arranged on the supporting frame, the clamping assembly comprises a first clamping piece and a second clamping piece, and the first clamping piece and the second clamping piece are movably arranged in the direction close to each other or away from each other, so that after the supporting frame stretches into and penetrates through the opening, the first clamping piece and the second clamping piece are attached to the inner wall face of the target workpiece correspondingly; and the target workpiece is clamped. The sheet metal part stacking device solves the problem that in the prior art, the stacking efficiency of sheet metal parts in irregular shapes is low.

The utility model discloses a steel billet plane transfer device, and belongs to the technical field of hot rolling. The steel billet plane transferring device comprises a steel supporting arm, a connecting rod used for guiding and limiting is arranged at the lower end of the outer portion of the steel supporting arm, a first supporting block is arranged on one side of the upper end of the steel supporting arm, and a second supporting block is arranged on the other side of the upper end of the steel supporting arm. And the second supporting block and the first supporting block are respectively integrated with the steel supporting arm. The steel billet blanking machine solves the problems that when an existing steel billet blanking machine horizontally moves and rotatably places steel billets, inertia generated by rotation and horizontal movement easily causes steel billet falling or position deviation, steel billet falling can cause steel billet damage, and deviation can affect follow-up grabbing and follow-up transportation. The steel billet is wrapped and protected through the wrapping frame, falling of the inner steel billet can be limited through wrapping and protection of the wrapping frame, and meanwhile falling of the steel billet caused by external collision can be avoided through the wrapping frame.

The invention provides a network packet processing method and device, electronic equipment and a storage medium, and the method comprises the steps: receiving packet network packets of different QoS (Quality of Service) levels, and sending the packet network packets of a real-time service to a corresponding target network card queue; on the basis of a pre-established linear mapping relationship, locking a universal processor CPU core corresponding to the target network card queue and resources of an operating system thread to process the packet network packet of the real-time service; wherein the linear mapping relationship is a linear mapping relationship among a universal CPU core, an operating system thread and a network card multi-queue, so that the Qos resource conflict problem of real-time services and non-real-time services is solved from the bottommost layer of hardware resources such as a network card and a CPU, and the resource entanglement and resource competition risk of the real-time services and the non-real-time services is solved from the framework level; and in combination with software and hardware, high throughput, low time delay and low jitter of real-time services are better supported.

The invention discloses a dynamic buffer size adjusting method based on deep reinforcement learning. The method comprises the following steps: constructing a Duelling DQN model and an experience playback pool, extracting features of a network state through two full connection layers in sequence, carrying out attention weight distribution through a self-attention mechanism, and introducing noise disturbance through a noise layer; an action advantage network is adopted to evaluate actions capable of being adopted by the intelligent agent, a state value network is adopted to evaluate a network state, a Q value of the network is obtained, the actions are executed, and a network environment sample is formed and stored in an experience playback pool based on a feedback reward and the network state at the next moment; extracting a network environment sample to train a Dueling DQN model; according to the method designed by the invention, the size of the buffer area is dynamically adjusted to reduce jitter and delay under different flow loads and network states through a reinforcement learning algorithm, so that the transmission performance of the network is effectively improved, and the service quality is improved.

The invention provides an enamelling machine for mold painting, which comprises a painting workbench, a support frame arranged below the painting workbench, a guide wheel assembly arranged at the front end of the painting workbench, two rows of painting molds arranged above the painting workbench, painting nozzles arranged in the painting molds, the painting nozzles fixed on nozzle fixing clamping holes, and a plurality of nozzles fixed on the painting workbench. A wire body is arranged right in front of the painting nozzle, a paint liquid connecting pipe is arranged on the rear side of the painting nozzle, and a backflow mechanism is arranged below a paint liquid backflow conveying pipe; by arranging the two rows of painting molds, painting operation can be conducted on a plurality of wire bodies at the same time, and the production efficiency is greatly improved; the painting nozzles are fixed on the nozzle fixing clamping holes, so that paint liquid can be uniformly sprayed on the line body, and the painting quality and uniformity are improved; and the paint liquid backflow hole is formed in the bottom of the painting mold, and is matched with the paint liquid backflow conveying pipe and the backflow mechanism, so that redundant paint liquid can be recycled, the waste of the paint liquid is reduced, and the production cost is reduced.

The invention relates to a cluster unmanned aerial vehicle communication method based on a multi-dimensional key encryption and decryption algorithm. The method comprises the following steps: acquiring unique identifiers of an unmanned aerial vehicle array and marshalling; extracting a single-user key of the unmanned aerial vehicle in the target group, and obtaining a key element by using a multi-dimensional key algorithm; generating an action instruction according to a preset coding rule, encrypting the action instruction, and combining the action configuration classification area to obtain a remote control instruction data packet; transmitting the remote control instruction data packet through a broadcasting mechanism, and receiving the remote control instruction data packet by the unmanned aerial vehicle through a monitoring mechanism; filtering and analyzing the received data packet to obtain a configuration data unit matched with the unmanned aerial vehicle marshalling; extracting a key element based on the configuration data unit, and calculating to obtain an original key; decrypting the action element encryption value to restore the action instruction, and executing the instruction after verification; the execution process of the action instruction is monitored in real time, and abnormal conditions are processed; the cluster unmanned aerial vehicle communication method using multi-dimensional key encryption and decryption is realized.

This invention discloses a power cord anti-pull mechanism and an industrial six-axis robot, belonging to the field of industrial robot technology. The power cord anti-pull mechanism is applied to equipment requiring electrical power for operation. It includes a power cord, a power supply box, and an anti-pull device. One end of the power cord is equipped with a power plug, and the other end is used to connect to the equipment requiring electrical power. A power socket is provided on one side of the power supply box, into which the power plug can be inserted to connect to the power supply. The anti-pull device is disposed on the power supply box and includes a fastening device and a power device. The fastening device is used to secure the power plug after it is inserted into the power socket, preventing pulling between the power cord and the power socket. The power device provides power to the fastening device to secure the power plug. The power cord anti-pull mechanism can prevent problems such as poor contact or disconnection between the power cord and the power supply box during the operation of the industrial six-axis robot.

The invention belongs to the crossing field of artificial intelligence and barrier-free assistance technology, and particularly discloses a sign language translation method and device based on a large language model.The method is applied to a terminal and comprises the steps that key points are extracted from sign language video frames; based on the coordinates, types and global indexes of the key points in the sign language video frames, obtaining fusion features through feature fusion; based on the fusion features corresponding to the sign language video frames in the frame window, time sequence modeling and classification are carried out, and a word prediction result of the frame window is obtained; a sliding window voting and deduplication mode is adopted, the candidate word sequence is preprocessed, a preprocessed word sequence is obtained, and the candidate word sequence is formed by connecting word prediction results of all frame windows in series according to a time sequence; based on the preprocessed word sequence, word error correction and statement generation are carried out by calling a large language model, and a sign language translation result is generated. According to the invention, sign language video translation can be realized for the terminal, and the accuracy and fluency of the translation result can be guaranteed.

The invention discloses a decimal frequency multiplication delay phase-locked loop based on a sigma-delta modulator, and the decimal frequency multiplication delay phase-locked loop is characterized in that a logic selection signal generation module provides a logic selection signal sel to control the opening and closing of a voltage-controlled oscillator (VCO) loop so as to control the periodic switching of the decimal frequency multiplication delay phase-locked loop between a Fractional-N PLL mode and a DLL mode; a Fractional-N PLL mode is periodically switched to a DLL mode, so that a clean reference clock rising edge is periodically introduced, and the rising edge of an output clock is replaced by the clean reference clock rising edge, so that the jitter of the output clock is reduced, and meanwhile, the frequency resolution of the output clock is improved; and fractional frequency multiplication is realized by introducing a programmable frequency divider based on a sigma-delta modulator. Furthermore, the logic selection signal generation module provided by the invention has a logic self-recovery function, and can solve the problem that normal locking cannot be realized in a decimal frequency multiplication process.

The invention provides an image display method and system, a panoramic display device, a carrier and a medium. The display method comprises the following steps: determining at least one preset viewpoint position; obtaining an initial image and an imaging parameter of each preset viewpoint position in the at least one preset viewpoint position; adjusting the parallax of the initial image according to the imaging parameter of each preset viewpoint position to obtain a parallax image matched with each preset viewpoint position; and displaying the parallax image matched with each preset viewpoint position on the image generation component. The parallax image of each preset viewpoint position is displayed on the image generation assembly, under the projection of the image generation assembly, the parallax image is projected to the corresponding imaging assembly, a user can perceive a stereoscopic picture with a depth feeling through the parallax image, and the 3D effect of imaging is achieved.