259 results about "Bandwidth requirement" patented technology

The invention belongs to the technical field of bandwidth access management, and particularly relates to an internet access service optimization method and system for adaptive bandwidth management. Through the distributed probe technology, network state parameters and user terminal metadata can be collected in real time, a deep learning network model such as an LSTM-Transformer hybrid neural network is utilized to process and analyze the collected data, the bandwidth requirement in a period of time in the future is predicted, time periodicity and traffic mutation characteristics are considered, and the bandwidth requirement in a period of time in the future is predicted. Equipment association characteristics are introduced, so that the prediction accuracy and reliability are improved, virtual channels are dynamically divided according to the service emergency degree and predicted bandwidth requirements, bandwidth resources are allocated to the virtual channels, it is ensured that high-priority services can obtain enough bandwidth resources in the network peak period, and the network performance is improved. Therefore, the stability and the quality of network service are ensured, and in addition, a bandwidth expansion mechanism and a bandwidth recovery strategy are introduced to cope with the dynamic change of the network bandwidth.

The invention discloses an optical transmission network hidden danger detection method and device and a computer program product, which can realize dynamic adjustment of differentiated bandwidth requirements by acquiring optical network state information in real time, evaluating service priority and establishing an optical channel resource allocation model. And when a topology anomaly is detected, constructing a service quality evaluation model by using a long-short-term memory neural network, and quantitatively analyzing the influence of the anomaly on the service. When a fault occurs, distributed link fault detection and a fault diagnosis engine based on a decision tree are adopted, and fault hidden dangers are quickly positioned and classified. And then, through an elastic recovery mechanism oriented to service sensitivity, the service quality level of a standby optical path is adjusted, and an optical layer topology connection relationship is optimized. According to the method, the resource utilization efficiency, the fault recovery capability and the service quality of the optical network are remarkably improved, and an innovative solution is provided for intelligent optical network management.

Various embodiments herein provide techniques for sidelink (SL) communication on unlicensed spectrum. For example, embodiments provide techniques for a physical sidelink feedback channel (PSFCH) and / or a SL synchronization signal block (S-SSB), such as techniques related to a listen-before-talk (LBT) procedure and / or occupied channel bandwidth (OCB) requirements. Other embodiments may be described and claimed.

The invention relates to the technical field of wireless communication and edge computing fusion, in particular to a wireless network resource allocation method based on edge intelligence, which comprises the following steps: S1, collecting a multi-dimensional parameter set of network edge nodes in real time; s2, converting node position coordinates into a network topological structure map, and mapping service type labels and bandwidth requirements into service requirement feature vectors; s3, generating a domain division matrix based on weight distribution of the network topological structure atlas; s4, outputting a resource block configuration tensor according to the time-frequency feature of the business demand feature vector; s5, generating a resource allocation mapping relation table; and S6, generating and executing a node-level resource scheduling instruction set. According to the invention, by constructing a resource scheduling mechanism fusing a topological structure and service features, precise resource allocation and dynamic load balancing of a cooperative domain level and a node level are realized, and the efficiency and the resource utilization rate of multi-task concurrent processing in an edge computing environment are improved.

A fault identification system and method. The system comprises an edge device and a server. The edge device can extract, from an original vibration signal, signal characteristics reflecting an abnormal vibration state of a device under test and report the signal characteristics to the server; and the server can identify a fault state of the device under test on the basis of the signal characteristics. The data volume of the signal characteristics reported in the process is small, thereby reducing the bandwidth requirement; and the signal characteristics can be used for accurate fault identification, thereby improving the accuracy of fault identification.

The invention provides a dynamic wavelength allocation method based on DCI wavelength division II type equipment. The method comprises the following steps: acquiring an occupation state and a transmission quality index of each wavelength channel of a current network; establishing a wavelength channel quality evaluation model, and scoring each wavelength channel according to the transmission quality index of each wavelength channel of the network; according to the bandwidth requirement, the priority and the QoS requirement of the service request, generating a traffic characteristic matrix containing the delay sensitivity and the bandwidth requirement through a traffic prediction algorithm; based on a network state and the traffic characteristic matrix, through resource availability calculation and path quality evaluation, forming an allocable wavelength resource pool and a quality score thereof; for the allocatable wavelength resource pool, generating an optimal wavelength allocation scheme by adopting an improved heuristic algorithm and comprehensively considering the resource utilization rate, the signal quality and the service priority; and according to the performance feedback of the optimal wavelength allocation result and the network state change, continuous optimization of wavelength allocation is realized through a self-adaptive adjustment mechanism. The method can effectively deal with the dynamic flow change in the DCI network, improve the resource utilization rate, ensure the signal quality and meet the QoS requirement of the service, thereby providing an efficient and reliable wavelength allocation solution for the data center interconnection network.

The invention discloses an intelligent elevator host bearing fault diagnosis system based on AI and fault physical fusion, and belongs to the technical field of elevator diagnosis. Comprising an edge end which is connected with a cloud end; when fault diagnosis is carried out, the edge end firstly collects a high-frequency signal through a sensor, sequentially executes signal preprocessing, feature extraction, anomaly detection and data compression, and finally sends compressed feature data to the cloud end; after the cloud end receives and verifies the integrity of the data, the feature data is stored in a time series database, deep analysis is executed through a data analysis engine, a lightweight model is optimized based on historical data, an analysis result is displayed through a remote monitoring platform, and an alarm notification is sent when abnormity is detected; meanwhile, the cloud end issues the optimized lightweight model to the edge end to form a continuously optimized closed loop. Through the feature extraction and data compression technology of the edge end, the data volume needing to be transmitted is greatly reduced, and the network bandwidth requirement and the transmission delay are remarkably reduced.

The invention discloses an unmanned aerial vehicle cluster cross-layer cooperative routing method based on TDMA, is applied to the field of wireless communication network resource scheduling and unmanned aerial vehicle autonomous networking cooperative control, and aims to solve the problem that the overall resource utilization rate of a system is low due to hierarchical design of a routing strategy and an MAC layer channel access control strategy in an existing TDMA network. The method comprises a dynamic collaborative framework based on routing and time slot allocation and a time slot state sensing routing algorithm based on deep reinforcement learning, the framework provides real-time time slot resource allocation state input for the algorithm, the algorithm outputs an optimal path meeting the bandwidth requirement for the framework, the problem of resource mismatching of a traditional layered framework is effectively avoided, and the routing efficiency is improved. And finally, collaborative optimization of the service bandwidth achievement rate and the network resource utilization efficiency in a high-load scene is achieved.

The invention belongs to the technical field of wireless communication networks, and discloses a multi-modal adaptive routing equipment network optimization method based on artificial intelligence, which comprises the following steps of: extracting network flow metadata in a data link layer by adopting deep packet inspection, and analyzing and predicting bandwidth requirements in n periods of time in the future based on a time sequence; planning channel resources by adopting a Nash equilibrium algorithm according to the bandwidth requirement, and generating a channel allocation instruction; synchronously acquiring multi-band channel state data, and constructing a three-dimensional radio frequency environment signal spectrum; analyzing the three-dimensional radio frequency environment signal spectrum, searching a frequency band combination with the minimum interference, and generating a frequency band switching instruction; integrating the channel allocation instruction and the frequency band switching instruction, generating a network QoS optimization strategy, and issuing the network QoS optimization strategy to the routing equipment for execution; and the network transmission efficiency, the security and the adaptive capacity of the routing equipment are improved.

According to the automatic driving data transmission scheduling method and device, the equipment and the readable storage medium, dynamic priority weights are generated in a mode of combining reinforcement learning and a rule engine, and bandwidth demand changes, historical transmission performance and queue occupation states of all sensors can be adapted in real time; the problem that a low-priority sensor cannot acquire the bandwidth at a high load is effectively avoided, and meanwhile, efficient utilization of bandwidth resources can be realized through dynamic weight adjustment when a high-priority sensor is idle, so that the bandwidth utilization rate in a vehicle-mounted multi-sensor data transmission process is remarkably improved; the real-time performance and reliability of data transmission required by automatic driving decision making are guaranteed, and then the overall performance of an automatic driving system is improved.

The invention relates to a data transmission method and device, electronic equipment, a chip and a medium, and the method comprises the steps: obtaining a target address of a target storage region in a first memory corresponding to an application processor; according to the target address, storing at least one piece of target data acquired by the modem into a target storage area through an interface between the modem and the application processor; determining a data description sequence according to each piece of target data in the target storage area; the data description sequence comprises data description of each piece of target data; storing the data description sequence into a target storage area; the data description sequence is used for indicating a processing sequence of at least one piece of target data; according to the method and the device, read-write operation processing on the second memory corresponding to the modem is avoided, the bandwidth requirement on the second memory is reduced, and the power consumption is reduced.

The invention belongs to the technical field of short-wave radio station control, and particularly relates to a foreign trade short-wave radio station remote control method based on a WiFi link. According to the method, through multi-round data feedback and strategy optimization, the problems of frequency deviation, insufficient power or overload are automatically corrected, the signal distortion and interruption rate are effectively reduced, the high reliability of a communication link is ensured, and based on real-time calculation of an environment interference coefficient and communication compensation information, the transmitting power can be dynamically improved or a more suitable modulation mode can be switched; therefore, the influence of electromagnetic noise on the signal is reduced, the data transmission quality is ensured, flexible adjustment can be performed according to different communication distances, bandwidth requirements or frequency band limitation through a dynamic control strategy, and the rapid deployment and switching requirements of the foreign trade short-wave radio station in multiple scenes are met.

The invention discloses a communication network bandwidth control method, and particularly relates to the technical field of network bandwidth control. Flow monitoring equipment is arranged in a communication network, flow is monitored in real time, flow data of different users and applications are collected, and on the basis of historical flow data and a real-time change trend, a burst flow prediction model is constructed, and flow peak fluctuation and sudden increase characteristics are analyzed, so that the real-time response capability of a bandwidth allocation strategy is evaluated in advance, and the real-time response capability of the bandwidth allocation strategy is evaluated in advance. When the response capability is insufficient, bandwidth allocation is dynamically adjusted according to a priority strategy, bandwidth requirements of high-transmission-priority applications are preferentially guaranteed, bandwidth occupation of low-priority applications is limited so as to ensure the continuity of key services, and after bandwidth adjustment, the allocation strategy is further refined through real-time flow feedback, so that the bandwidth allocation efficiency is improved. The efficient utilization of resources and the stability of network service quality are guaranteed, so that the problem of bandwidth allocation lag in emergencies is solved, and flexible resource optimization management is realized.

The invention discloses a mirror image file transmission method and device, electronic equipment and a storage medium, and relates to the technical field of computers. According to the method, the difference comparison algorithm is preferably utilized to acquire the difference data blocks for uploading or downloading of the mirror image file, so that the data transmission quantity is reduced, the bandwidth occupation is reduced, the network state parameters are monitored in real time during data transmission, and the bandwidth requirement is predicted by adopting a mixed time sequence prediction mode according to the network state parameters, so that the data transmission efficiency is improved. And through the decision tree, the distribution action is optimized, the size of a transmission window and the sending rate of a data packet are dynamically adjusted, the transmission rate is improved, the transmission state of each data block is recorded during data transmission, a heartbeat packet is periodically sent to detect the connection state, reconnection is started after disconnection is detected, and transmission is continued from an interruption point after successful reconnection. And the integrity of the data is verified after the data block transmission is completed, so that the fault tolerance is improved.

The invention discloses a video transmission and grading early warning method based on 5G and Wi-Fi hybrid networking, and relates to the technical field of network transmission and safety monitoring, and the method comprises the steps: firstly deploying fusion anchor points containing three types of core hardware modules, and determining the number of the fusion anchor points; extracting service time delay and bandwidth demand grades in an XR scene, establishing a QoS parameter mapping relation between 5G and Wi-Fi, and reading key parameters through a fusion anchor point to dynamically allocate bandwidths; based on the parameter matrix and the weight matrix, determining a sampling interval and marking a sampling frame; and finally, evaluating a sampling frame threat parameter and executing hierarchical response. According to the invention, while the collaboration of hybrid networking is improved, the accuracy of threat assessment is improved, and the continuity and security of video transmission in an XR scene are ensured.

The invention discloses a short-distance wireless audio multi-standard compatible communication protocol method, which comprises the following steps of: intelligent protocol selection: automatically selecting a most suitable wireless communication standard to carry out audio data transmission according to information such as communication capability, network environment, bandwidth requirement, signal strength, equipment type and current network load of audio equipment; the communication standard comprises but is not limited to Bluetooth, Wi-Fi, Zigbee, NFC and the like, and multi-protocol cooperative scheduling: under the condition that a plurality of protocols coexist, the load, the bandwidth use condition, the signal quality and the like of each protocol are monitored in real time. Through protocol intelligent selection and multi-protocol cooperative scheduling, the equipment can automatically select the most suitable communication standard according to the actual situation, the problem that different protocols are incompatible is solved, the interconnection and intercommunication between the equipment are improved, the low-delay processing technology is adopted, the data packet transmission sequence and the protocol conversion process are optimized, and the communication efficiency is improved. The audio data can be transmitted and played in real time, delay is reduced, and audio experience is improved.

The invention relates to the technical field of space flight and aviation, in particular to a low-delay communication control system and method for an analog machine in a fixed flight training course. The control system comprises a multi-source sensor fusion module, a data simplification processing module, a dynamic time delay optimization communication framework, a distributed intelligent decision-making terminal, a virtual-real mapping synchronous controller, a milli delay regulation and control module and an intelligent sensing alarm interaction module. According to the invention, 4G, 5G and satellite double links are integrated, an optimal link is dynamically selected by adopting a Q-Learning algorithm, millisecond-level time delay control is realized, transmission reliability is improved through a packet loss rate compensation algorithm, multi-sensor data is fused based on an FPGA hardware accelerator and an EKF algorithm, and a data compression ratio is improved in combination with Huffman coding and Kalman filtering. The bandwidth requirement is greatly reduced, through software and hardware collaborative optimization, the end-to-end time delay is reduced to be within hundreds of milliseconds, the virtual-real synchronization precision is improved to the centimeter level, and the decision response speed is improved by two times.

The invention discloses a centralized phased array beam control method and system based on an FPGA, and relates to the technical field of phased array beam control, and the method comprises the steps: carrying out the real-time iterative operation through an incremental adaptive correction kernel in a centralized control FPGA, and obtaining an amplitude-phase correction increment and a corresponding target effective frame number; performing increment differential coding on the amplitude-phase correction increment and the corresponding target effective frame number in a centralized control FPGA (Field Programmable Gate Array) to generate an increment differential beam control message; sending the increment difference beam control message to an array element FPGA (Field Programmable Gate Array) at the front end of an array, executing frame-level atom switching according to a target effective frame number, and fusing the amplitude-phase correction increment and a locally stored old beam control weight in the switching process to obtain a final array element beam control weight; generating a real-time beam control directional diagram based on the final array element beam control weight; the stability and convergence precision of beam control are improved, and the bandwidth requirement of a control link is reduced.

The invention relates to an intelligent ship network optimization method, system and device based on multi-link convergence and a medium. The method comprises the following steps: firstly, acquiring multi-network link connection parameters of the intelligent ship, constructing an adaptive environment, modifying a protocol stack, and integrating a physical link into a virtual link to realize resource convergence; and based on the real-time parameters of the virtual link and the physical link, dynamically distributing traffic by adopting an improved aggregation protocol, and generating a load balancing scheme. And then, regularly sending a detection packet quality index, and predicting a link quality trend in combination with historical data and navigation longitude and latitude. And finally, dynamically adjusting flow distribution according to a prediction result, an application real-time demand, a bandwidth demand and a current position tariff characteristic, and generating a ship-shore communication scheme considering both efficiency and cost. By adopting the method, the stability, reliability and economy of ship-shore communication of the intelligent ship can be effectively enhanced, and the method is suitable for multi-scene network monitoring optimization.

The invention relates to the technical field of intelligent automobile electronic control, and discloses a vehicle-mounted network controller refreshing system and method.The vehicle-mounted network controller refreshing system comprises a data flow classification and priority calibration module, a function key score calculation module and a function key score calculation module, discrete priorities P0 to P3 are generated through weighted mapping, and corresponding delay upper limits are marked; and the flow prediction and dynamic bandwidth allocation module is used for receiving the output priority label and the delay upper limit and smoothly predicting the bandwidth demand of the next period according to an index. According to the method, the technical scheme of weighted mapping of the timeliness score and the function criticality score is adopted, so that the technical effects of dynamically dividing the P0-P3 priorities based on the flow characteristics and binding the delay upper limit are achieved, and compared with the technical scheme of manually presetting the fixed priority or simply polling and scheduling in the prior art, the method has the advantages that the practicability is high; the defects that emergency data streams and common data streams cannot be distinguished in a self-adaptive mode, and delay constraints and bandwidth requirements are disjointed are overcome.

The invention discloses a communication method and electronic equipment, and relates to the technical field of communication, and the method adopts a two-stage QoS control strategy, and combines a bottom layer hierarchical token bucket algorithm with a top layer deficit polling algorithm. And the bottom layer QoS adopts a hierarchical token bucket to realize bandwidth allocation and traffic shaping based on traffic categories. The top layer distributes bandwidth resources by adopting deficit polling on the basis of functions, so that the problem that the waiting time of data packets in transmission queues of other functions is too long due to the fact that large data packet transmission of a certain function occupies more bandwidth in function scheduling can be solved. According to the method, end-to-end QoS guarantee can be realized, and bandwidth requirements of different traffic categories and functions are considered, so that under the scene of cross-domain sharing of PCIe equipment, the hardware resource utilization rate is maximized, fine bandwidth allocation and traffic control are performed, efficient transmission and scheduling are ensured, and bandwidth fluctuation caused by burst cross-domain access is smoothly processed.

The invention discloses a multi-frequency-band signal fusion microwave photon radar system and an implementation method thereof, and relates to the technical field of optical signal processing, and the system comprises a multi-frequency-band signal transmitting module which is used for generating a multi-frequency-band bandwidth radar signal; the m microwave photon dechirp receiving modules are used for receiving echo signals of three or more multi-band bandwidth radar signals in an optical domain; the multi-frequency-band signal fusion processing module is used for carrying out interpolation and filling of spectrum gaps on missing frequency bands among multiple frequency bands through a coherent fusion technology so as to realize fusion splicing of multi-frequency-band signals; m is the number of multi-band channels; according to the method, the broadband characteristic of the photon technology can be fully utilized, and the distance resolution of target detection is effectively improved under the condition that the bandwidth requirement of the radar waveform electrical generator is not increased through fusion processing of multi-band bandwidth radar signals.

The invention discloses a multi-service isolation method, system and device based on optical fiber communication and a medium, and relates to the technical field of data processing, and the method comprises the steps: obtaining the priority and bandwidth requirements corresponding to each service, and obtaining the distribution channel wavelength corresponding to each service according to the priority and bandwidth requirements corresponding to each service; obtaining a single time slot bearing capability, and obtaining a distribution isolation time slot corresponding to each service according to the distribution channel wavelength corresponding to each service and the single time slot bearing capability; obtaining the isolation degree between the services according to the distribution channel wavelength and the distribution isolation time slot corresponding to each service; and comparing the isolation degree with a preset isolation threshold value, and if the isolation degree is smaller than the preset isolation threshold value, correcting the allocated channel wavelength and the allocated isolation time slot of the two services corresponding to the isolation degree according to the isolation degree and the preset isolation threshold value, and generating a target channel wavelength and a target isolation time slot. The system has the advantages of collaborative distribution, bidirectional adjustment and accurate isolation.

Devices, systems, methods, and processes for establishing peer-to-peer (P2P) networks over Wi-Fi extended spectrum. P2P networks often encounter challenges in meeting their bandwidth requirements, resulting in degraded performance, slower data transfer rates, or even connectivity issues. Therefore, by delegating frequency channels in the Wi-Fi extended spectrum for establishing P2P networks, at least some challenges faced by the P2P networks can be overcome. Access points (APs) in automated frequency coordination (AFC) infrastructure may coordinate with network devices intending to establish P2P connections and may allocate unused or underutilized channels in the Wi-Fi extended spectrum to these network devices for establishing the P2P connections. The APs may set usage conditions on the allocated channels which the network devices and the APs monitor once the P2P connections are established. The APs may further monitor network traffic on the allocated channels and allow concurrent P2P connections on the same channel to improve channel utilization.

The invention discloses a self-reference three-phase polarization imaging system and method based on an integrated photon neural network, and the method comprises the steps: setting a fixed phase difference in a silicon-based photon chip to achieve three-phase projection and single-port reading, outputting a three-phase interference signal at the same time, obtaining all phase and polarization information in one-time imaging to achieve full-polarization measurement, and carrying out the single-port reading of the silicon-based photon chip; according to the invention, the effective resolution ratio is consistent with that of an original detection array, power and temperature drift is eliminated, single-frame acquisition has no time sequence error and motion artifact, a stable and compact single-port self-reference reading mode is realized through a three-phase interference measurement architecture constructed on a chip in combination with channel normalization and rotation correction, and complete Stokes parameters and polarization information can be measured. According to the system provided by the invention, the MZI is adopted, so that the phase bias can be flexibly adjusted, and different bandwidth requirements can be met by adjusting an interference path. The silicon-based photon platform has a broadband response characteristic and can cover a visible wave band, so that the device can keep stable interference performance in a communication wave band.

The invention discloses a PCIe device bandwidth management device, a PCIe device bandwidth management method and a server, and relates to the technical field of servers, a communication circuit is used for connecting a control module, a CPU and a PCIe device in a chained mode, redundant connecting lines in a traditional star topology are reduced, the hardware design complexity and cost are reduced, and the system integration degree and reliability are improved. The control module uniformly sets PCIe device data transmission channels to be the first level through the communication circuit, rapidly scans and identifies the channel state of each CPU root node, determines the bandwidth setting data table, can dynamically adapt to the bandwidth requirements of different devices, and avoids resource waste or conflicts.

The invention discloses a fault feature extraction method and device based on the Internet of Things, electronic equipment and a storage medium. The method comprises the following steps: sampling vibration signals sent by a vibration sensor on industrial equipment to obtain a discrete signal sequence; dividing the discrete signal sequence into a plurality of time frame signals; performing component decomposition on the time frame signal to obtain a plurality of signal components; performing wavelet transformation on the signal component to obtain a wavelet coefficient; determining the frequency scale of the wavelet coefficient based on the similarity objective function; and performing calculation based on all the frequency scales to obtain a fault characteristic parameter corresponding to the time frame signal. According to the method, the bandwidth requirement of fault diagnosis in the Internet of Things environment can be remarkably reduced, so that the real-time performance of work such as fault diagnosis is remarkably improved while it is ensured that equipment faults are effectively recognized.

The invention discloses a multi-channel meter reading optimization method based on terminal routing. According to the technical scheme, the system aims at solving the problems of resource waste and communication efficiency reduction caused by fixed channel meter reading in the field of power system communication. According to the technical scheme, the system comprises a self-adaptive algorithm unit and an environment monitoring unit, and the number of meter reading channels can be dynamically adjusted according to real-time communication loads and network conditions. And the adaptive algorithm unit receives the network environment and communication load data provided by the environment monitoring unit, and determines the optimal meter reading channel configuration through algorithm calculation. The environment monitoring unit monitors network bandwidth requirements, transmission delay, signal quality, network congestion and other parameters and communication load conditions in real time. And the system continuously optimizes the performance through a feedback mechanism. Compared with a traditional fixed channel meter reading method, the method has the advantages that efficient utilization of resources is achieved, the flexibility and adaptability of a communication system are improved, meanwhile, the cost is reduced, and the user experience is improved.

The embodiments of the present application provide a device discovery method and apparatus, which relate to the field of communication technology and can support multiple access technologies to meet the diverse power consumption and bandwidth requirements of different services or the same service in different communication scenarios. At the same time, it can support more device discovery modes and device discovery processes to meet the needs of more device discovery scenarios. The method includes: a first device obtains request information of a first application; the request information is used to indicate the discoverability level of the first device; the first device determines the access technology corresponding to the first application based on the first application; the first device broadcasts a first message based on the request information using the access technology corresponding to the first application; the first message includes first indication information, and the first indication information is used to indicate the discoverability level of the first device.

The invention relates to the technical field of video processing, and provides a diffusion model-based video super-resolution reconstruction method for an unmanned aerial vehicle in order to avoid the problems of optical flow alignment errors and limited computing power of the unmanned aerial vehicle, comprising video compression and fuzzy degradation modeling and video diffusion converter model construction. Carrying out iterative optimization and observation consistency correction; and reducing the potential representation after iterative optimization into a high-resolution video frame through a decoder to complete super-resolution reconstruction. And meanwhile, the bandwidth requirement is reduced, and the weak network adaptability is better. Due to the adoption of the technical scheme, accurate reconstruction of a high-resolution video is realized in a low-dimensional potential space. Therefore, the problem of edge artifacts caused by motion estimation errors in a traditional method is thoroughly solved, and the definition and the natural sense of a reconstructed video are remarkably improved.