555 results about "Forward error correction" patented technology

Image series transformation for optimal compressibility is performed with neural upsampling and error resilience. A novel correlation network composed of convolutional layers for feature extraction that extract multi-dimensional features from the image and a channel-wise transformer with attention to capture complex inter-channel dependencies. An angle optimizer enhances compressibility of an image and an error resilience subsystem improves robustness against transmission errors and data loss. The error resilience subsystem applies forward error correction coding, data partitioning based on importance, and embeds error concealment hints. This hybrid approach addresses both local and global features, mitigates compression artifacts, improves image quality, and enhances data integrity during transmission. The correlation network incorporates error correction and concealment techniques during decoding. The model's outputs enable effective image reconstruction, achieving advanced compression while preserving information for accurate analysis.

The invention discloses an Internet of Things data transmission optimization system based on intelligent routing, and relates to the technical field of data transmission optimization. The heterogeneous network access module supports adaptive switching of multiple protocols such as 5G, NB-IoT and LoRa, and monitors link quality; intelligent routing decision selects an optimal path by means of deep reinforcement learning, and end-to-end delay is reduced; data distribution scheduling split data streams are transmitted in a multi-path parallel mode, and forward error correction is combined to guarantee reliability. The network state prediction uses an LSTM to predict bandwidth, and a route is adjusted in advance; the secure transmission integrates iris authentication and dynamic encryption. According to the invention, efficient, reliable and secure transmission is cooperatively realized, energy collection and dormancy strategies are combined, the equipment endurance is greatly prolonged, the network energy consumption is reduced, and the method is suitable for industrial control, telemedicine and other scenes with high requirements on real-time performance and reliability.

The invention discloses a private network data security detection method based on big data, and belongs to the field of security detection, and the method comprises the steps: obtaining a real-time data packet from private network traffic, encoding the data packet through a forward error correction code technology, generating redundancy check information, and obtaining an encoded data packet; if a bit error is detected in the transmission process of the coded data packet, requesting a sending end to retransmit a damaged data packet through an automatic retransmission request mechanism to obtain a retransmitted data packet; adjusting the redundancy of a forward error correction code and a trigger threshold of an automatic retransmission request according to the adaptive error correction parameter, generating an optimized error correction scheme, and obtaining a repaired data packet; and aiming at the alarm processing instruction, automatically adjusting a network flow control strategy, limiting the transmission bandwidth of an abnormal destination, updating the sensitive data fingerprint database, and obtaining optimized protection configuration.

The invention discloses an adaptive modulation anti-multipath unmanned aerial vehicle swarm communication method and system based on MIMO-OFDM, and relates to the technical field of wireless communication, and the method comprises the steps: receiving a down-conversion baseband; synchronization and compensation are carried out; removing a cyclic prefix and carrying out fast Fourier transform; estimating a channel and noise on the training and pilot frequency, and correcting a common phase; performing frequency domain equalization and soft decision, forward error correction and cyclic redundancy check according to the estimation to obtain a control parameter, decoding a payload according to the control parameter, and performing statistics to form a link quality indication; modulating coding, bandwidth and spatial mode, configuring mapping, power and weight, and packaging physical layer protocol data; carrier sensing conflict avoiding sending, confirmation and retry are adopted to generate media access statistics; and the routing selects the next-hop multi-hop forwarding according to the transmission quality, and performs end-to-end statistics and recharge. Through cooperation of hierarchical synchronization and phase correction with cyclic prefix and FFT, crosstalk is suppressed, channel noise scale optimization soft decision is robust, data decoupling is controlled, and end-to-end availability is improved through multi-hop self-healing recharge.

A system for detecting service interruptions in a cable broadband network using telemetry-based anomaly detection, wherein the system comprises the following: a telemetry acquisition unit configured to acquire multi-parameter telemetry data from heterogeneous broadband infrastructure elements, including cable modems, amplifiers, optical nodes and cable modem termination systems (CMTS), wherein the telemetry data includes the signal-to-noise ratio, modulation error ratio, forward error correction counter, power levels and latency statistics; a preprocessing and harmonization module that is operationally coupled with the telemetry acquisition unit, wherein the module is configured to normalize heterogeneous telemetry streams by adjusting sampling rates, synchronizing timestamps, interpolating missing data, and filtering out false outliers; an anomaly detection unit that is communicatively connected to the preprocessing and harmonization module, wherein the unit comprises a hybrid detection framework with statistical prediction models and machine learning models, wherein the statistical prediction models include ARIMA or Holt-Winters models to predict the expected telemetry behavior and the machine learning models include recurrent neural networks and autoencoders trained on historical telemetry; an ensemble evaluation subsystem within the anomaly detection unit, configured to combine the outputs of the statistical prediction models and the machine learning models to generate anomaly probability evaluations with adaptive confidence intervals; an interruption classification module configured to receive anomaly probability values ​​and correlate anomalies across multiple devices, geographic clusters, and time windows, wherein the interruption classification module differentiates between transient anomalies and service-impairing interruptions based on a multidimensional correlation; and an alerting interface configured to transmit outage alerts with severity, root cause metadata, and geolocation to a network management system so that the operator can intervene.

The embodiment of the invention provides a data processing method and device, electronic equipment and a storage medium, is suitable for a processor comprising a first integrated circuit unit and a second integrated circuit unit, and comprises the following steps: acquiring to-be-transmitted data and providing the to-be-transmitted data to the first integrated circuit unit; the verification information of the data to be transmitted is generated, the verification information comprises state information of a forward error correction code, data information of the forward error correction code and state information of cyclic redundancy check, and the data information of the forward error correction code and error data in the data to be transmitted have a corresponding relation; and sending the verification information and the to-be-transmitted data to the second integrated circuit unit, so that the second integrated circuit unit sends the to-be-transmitted data to the second integrated circuit unit under the condition that the state information of the forward error correction code is error-free or correctable error and the state information of the cyclic redundancy check is error-free. And a correct cyclic redundancy check code is calculated based on the received data to be transmitted and the data information of the forward error correction code, so that efficient data transmission is realized.

The invention discloses a reliable communication system based on a publishing and subscribing mode in a satellite-ground weak network environment, and aims to solve the problems of high round-trip delay, limited link bandwidth, high instantaneous packet loss rate, easiness in blocking and switching influence of links and the like in a data transmission process between a low-orbit satellite and a ground station. A publishing and subscribing model is introduced into an application layer to realize service logic decoupling, deep fusion with an underlying enhanced QUIC transmission protocol is realized, and mechanisms such as message persistence, breakpoint resume, forward error correction and connection migration are combined, so that stable, orderly, complete and safe transmission of service data can still be ensured under the conditions of link instability, quality fluctuation and communication interruption, and the service data transmission efficiency is improved. And high availability and continuity of a satellite-ground communication task under a weak network condition are realized.

The invention discloses a multidirectional frame audio stream transmission method, device, equipment and medium, and the method is realized through cooperation of a transmitting end and a receiving end: the transmitting end cuts an original audio stream into independent audio frames, gives priority identifiers to the independent audio frames, and determines redundant coding parameters and transmission paths for different priority frames in combination with a predefined static strategy; generating a data packet containing an original data block and a redundant data block, and sending the data packet through at least one network path; and a receiving end caches the multi-path data packet, recovers lost data by using redundant data blocks to recombine a complete audio frame, and executes error concealment processing on the frame which cannot be recombined to generate a replacement frame. According to the method, based on a multi-path parallel transmission, forward error correction (FEC) redundancy mechanism and a cost-aware static scheduling strategy, lossless forwarding and instantaneous recovery of audio streams are realized on the premise of not waiting for network feedback and avoiding inter-frame dependence, and high-quality real-time audio transmission service can still be provided in a complex network environment.

The invention discloses a water conservancy water regimen monitoring management system based on Beidou short message communication, which relates to the technical field of water regimen monitoring and comprises a scheduling module, a data compression module, a data preprocessing module and an early warning module. The scheduling module determines a transmission queue by marking a water level state, calculating various scores and correction parameters, and implements a preemption mechanism and setting optimal transmission in a silent period; the data compression module classifies and processes data, adjusts the compression rate according to channel signals, and adopts forward error correction coding and the like to guarantee the data accuracy; the data preprocessing module filters the original data, detects abnormity by using space-time correlation analysis, and fills missing values; the system effectively realizes water conservancy water regimen monitoring management, has significant advantages in the aspects of data transmission, processing, early warning and the like, improves the accuracy and timeliness of water regimen monitoring, and provides powerful support for water conservancy management.

The invention provides an alternating current charging pile power line carrier control method, a medium and a system, and belongs to the technical field of alternating current charging piles. Real-time channel characteristic detection is carried out on a charging pile power line to obtain dynamic channel state parameters, forward error correction coding processing is carried out on a charging pile control instruction to obtain a coded carrier data frame, and the coded carrier data frame is sent to the medium; a double-layer coupling game control model is utilized to calculate transmission parameters, coupling optimization of upper and lower game models is realized through a grey wolf optimization game algorithm to obtain an optimal carrier transmission parameter set, and working parameters of a power line carrier transmitter of the charging pile are adjusted according to the optimal parameter set to realize carrier communication. And meanwhile, a comprehensive evaluation index output by the carrier parameter dynamic adjustment function is fed back to the double-layer coupling game control model to form closed-loop iterative optimization, so that the technical problem that carrier communication parameters cannot be adaptively adjusted in real time due to dynamic change of power line channel characteristics along with factors such as load change and switching operation is solved.

The invention discloses a packet loss error correction method and system based on a sliding window, and belongs to the field of packet loss error correction, and the method comprises the steps: setting an original data packet number N, a redundant data packet number M, FEC coding time and FEC decoding time, and determining a preliminary window size according to the FEC coding and decoding time, a packet loss rate, a code rate and jitter rate information; carrying out redundancy coding on the data packets by adopting forward error correction codes, and sequentially sending N + M data packets by a sending end based on a sliding window; the receiving end maintains a receiving window, stores the received data packet, and performs error correction by using the redundant packet; detecting the lost data packet by adopting an acknowledgement mechanism, and if the ACK or the NACK is not received in the Ttimeout, retransmitting the lost data packet by the transmitting end; and dynamically adjusting the window size according to the packet loss rate. According to the method, the window size and the FEC redundancy ratio are dynamically adjusted according to the network packet loss rate, adaptive adjustment is achieved in different network environments, bandwidth waste is reduced, higher error correction capacity is provided in a high packet loss environment, and data transmission efficiency is improved.

The invention provides a strong interaction video stream transmission quality optimization method, device, controller and system. The method comprises the following steps: a slow module determines a network packet loss probability prediction value and a packet loss aggregation prediction value of strong interaction video stream data in a next streaming media protocol feedback period; the fast module adopts a random forest model to decide the fine-grained redundancy corresponding to each video frame coding period frame by frame based on the network packet loss probability prediction value, the packet loss aggregation prediction value and the length of each video frame to be transmitted by the network corresponding to the strong interaction video stream data; and performing forward error correction coding on the data packet of each video frame based on the redundancy to obtain the data packet added with redundancy protection corresponding to each video frame. According to the method, the device and the system, the size difference and the network dynamics of different video frames of strong interaction video streams such as cloud games can be accurately self-adapted, the interaction quality of the strong interaction video streams can be ensured, the redundant bandwidth overhead can be greatly reduced, and the transmission quality and the redundant cost of the strong interaction video streams can be balanced.

The invention relates to the technical field of optical fiber communication, in particular to a method and a system for realizing optical fiber interconnection transmission by a high-speed serial transceiver based on an FPGA (Field Programmable Gate Array). Constructing a link feature baseline and combining with a multi-dimensional weighted quality index to drive an improved particle swarm algorithm to dynamically adjust a pre-emphasis coefficient and a receiving equalization parameter of the transceiver; signal jitter characteristics are extracted, clock data are dynamically adjusted based on the jitter characteristics and the bit error rate to recover the loop bandwidth, a forward error correction mode is dynamically switched through hysteresis threshold logic, and time delay and error correction capability are balanced; and continuously updating the baseline parameters through a closed-loop feedback mechanism to realize real-time adjustment and optimization of the quality of the optical fiber communication link.

The invention discloses a method for aggregating ocean buoy data, which comprises the following steps of: establishing a space-time correlation model according to the spatial distribution density of buoy clusters and the dynamic characteristics of an ocean environment, and adaptively dividing buoy groups with a data compression cooperative relationship; performing a data-related compression operation within the buoy group; constructing a transmission priority dynamic sorting engine, and calculating a dynamic weight coefficient; performing hierarchical packaging processing on the differential coding data, distributing enhanced forward error correction coding resources for high-priority data, and reserving redundant transmission time slots; the method comprises the following steps: receiving a hierarchical data packet through a low-orbit satellite and executing on-satellite preprocessing, reconstructing an original data stream by using a distributed decoder, and meanwhile, fusing multi-dimensional space-time related data to generate an aggregated data product; and finally, the aggregated data product is transmitted to a ground data center through a satellite downlink. According to the invention, uplink data volume is reduced, disaster monitoring timeliness is improved, ground station processing load is reduced, and system environment adaptability is enhanced.

There is provided a method in a node of a wireless communication network. The method comprises receiving from an application a protocol data unit (PDU) set corresponding to an encoded application data unit (ADU). The method further comprises determining an Application-Layer Forward Error Correction (AL-FEC) coding configuration associated with the encoded ADU and transmitting the PDU set. The method further comprises determining whether a cease criterion is satisfied, wherein the cease criterion is based on the AL-FEC coding configuration, and ceasing transmission of the PDU set based on the cease criterion being satisfied.

The invention provides a game network acceleration method and device based on reinforcement learning multi-path collaboration. The method comprises the following steps: performing fixed-length fragmentation on game data to be sent, writing a continuous serial number and an error correction group identifier into each fragment, and generating redundant fragments in one-to-one correspondence with the fragments; inputting a path scheduler based on reinforcement learning by taking the packet loss probability prediction result as a state, and calculating respective path weights of the at least two proxy nodes to obtain a multi-path distribution strategy; according to a multi-path distribution strategy, sending the fragments and the redundant fragments corresponding to the fragments in parallel between the at least two proxy nodes; and performing forward error correction decoding and sequence rearrangement on the received fragments and the redundant fragments according to the error correction group identifiers, and reconstructing a complete game data packet sequence. According to the method and the device, the packet loss rate and the delay jitter can be dynamically reduced in a complex cross-border network environment, and the redundant bandwidth overhead is minimized while the real-time performance is ensured, so that stable and efficient game data transmission is realized.

The invention discloses a 10kV medium-voltage power distribution network power line carrier communication method and system based on adaptive OFDM (Orthogonal Frequency Division Multiplexing), and the method comprises the steps that a master station sends a detection frame to a slave station, and the slave station carries out the CE (Channel Estimation), and obtains the CSI (Channel State Information); the method comprises the following steps of: dividing a broadband channel into a plurality of parallel orthogonal subcarriers, and dynamically allocating a modulation mode, a modulation order and a forward error correction (FEC) coding rate for each subcarrier of OFDM (Orthogonal Frequency Division Multiplexing) by adopting a water injection algorithm based on channel state information (CSI); adopting two-stage automatic gain control (AGC) to condition a signal received from a power line; and carrying out dynamic frequency hopping between a frequency band with serious interference and an idle frequency band based on a continuous spectrum sensing result. Compared with the prior art, through the multi-dimensional adaptive technology, the communication system can sense the channel state in real time and dynamically adjust the communication strategy, so that a stable communication link is established in a severe power grid environment.

The invention belongs to the technical field of signal processing, and particularly relates to a coherent light high-speed transmission signal processing method based on deep joint compensation, which comprises the following steps of: performing fine frequency offset and inter-carrier interference joint preprocessing on a coherent light receiving sampling sequence; obtaining a pre-processing output sequence and at least one estimation parameter derived from fine frequency offset and inter-carrier interference combined pre-processing; inputting the preprocessing output sequence into a diffusion type score guide joint compensation network module to obtain a deep joint compensation sequence; performing online judgment and decoding on the deep joint compensation sequence, and adaptively updating internal parameters of the diffusion type score guide joint compensation network module when a preset adaptive updating condition is met; according to the invention, the symbol residual error can be obviously reduced, the forward error correction gain can be improved, and the stability and robustness of the system under high-order modulation, high symbol rate and long-distance link scenes can be enhanced.

The invention relates to the technical field of terminal communication, and provides a team state synchronization method based on ad hoc network communication, an intelligent terminal and a medium, after a plurality of intelligent terminals complete team networking, a first intelligent terminal elected as a team master device broadcasts a synchronization beacon frame, enabling the second intelligent terminal to enter a corresponding working state after receiving the synchronous beacon frame; predicting whether the bit error rate in a future short time is increased or not based on the channel impulse response fed back by the second intelligent terminal and the real-time position coordinates; when the predicted bit error rate is increased, forward error correction coding redundancy is increased in a pre-sent light effect instruction, and a target light effect instruction is obtained; and the target lighting effect instruction is sent to the second intelligent terminal, so that the second intelligent terminal controls the partition lamp group to output the corresponding lighting effect according to the received target lighting effect instruction, and visual synchronization of the team state is realized. According to the method, the accuracy of light effect instruction transmission can be guaranteed, and efficient visual synchronization of the team state is realized.

The invention discloses a data acquisition system and method in a CT (Computed Tomography) system, the system comprises a control end and an acquisition end, a first FPGA (Field Programmable Gate Array) module and a second FPGA module are respectively arranged in the control end and the acquisition end, a forward error correction coding module and a data transmitting module are arranged in the first field programmable gate array FPGA module, and a forward error correction decoding module and a data receiving module are arranged in the second field programmable gate array FPGA module; wherein when the control end sends control command data to the acquisition end, the forward error correction encoding module encodes the control command data and then sends the control command data to the forward error correction decoding module through the data sending module, so that the second forward error correction module recovers the encoded control command data; and the data receiving module receives the recovered data. A data forward error correction technology is added to serial communication, so that a receiver does not receive wrong data, and the defects of related technologies are overcome.

The invention discloses a high-resolution and low-delay audio and video transmission method and system, which realize high-quality and low-delay remote audio and video transmission by dynamically negotiating transmission resolution and self-adaptive compression coding. The method comprises the following steps: constructing a resolution negotiation matrix through extended display identification data based on receiving end equipment, and determining an optimal transmission resolution parameter; the compression ratio is dynamically adjusted in combination with network bandwidth fluctuation, a compressed data stream is generated by adopting inter-frame prediction coding, and the anti-interference capability is enhanced through forward error correction and time division multiplexing packaging; and finally, the differential signal pair is transmitted to a receiving end to be decoded and restored into a standard audio and video signal. According to the method, the transmission delay is remarkably reduced while the high-resolution image quality is ensured, the method effectively adapts to a complex network environment, the transmission distance and stability are considered, and the method is suitable for application scenes such as remote conferences and real-time monitoring which have high real-time requirements.

An optical transceiver includes an electro-optic front end; a digital-to-analog converter (DAC) and an analog-to-digital converter (ADC) connected to the electro-optic front end; and one or more Field Programmable Gate Arrays (FPGAs) connected to the DAC and the ADC, wherein the one or more FPGAs are connected to one or more of a local memory and a remote storage for loading FPGA bit files, and wherein the one or more FPGAs are loaded with a forward error correction (FEC) encoding app and a FEC decoding app. The FEC encoding app and the FEC decoding app can be selected based on any of an optical application and a standard compliance requirement.

The invention provides an adaptive forward error correction game network acceleration method based on deep reinforcement learning. The method comprises the following steps: periodically sending a detection data packet to a plurality of candidate proxy nodes, receiving an echo data packet, and generating a network state vector; inputting the network state vector into a pre-trained deep reinforcement learning model to obtain a forward error correction strategy index; calling the target error correction parameter group, and recording the current network environment data and the transmission performance of the target error correction parameter group back to the dynamic error correction strategy library; performing forward error correction coding on the to-be-transmitted game data packet according to the target error correction parameter group; and decoding the received data packet and the redundant packet at the proxy node according to the target error correction parameter group, reconstructing a missing game data packet, and forwarding the reconstructed game data packet to a target game server or a game client for accelerated transmission of a game network. According to the invention, the packet loss rate can be reduced, the redundant bandwidth can be saved, low-delay transmission can be maintained, and the node switching stability can be enhanced.

The invention provides a video coding and compression transmission method for intelligent equipment, which belongs to the technical field of video coding and compression transmission, realizes advanced channel quality estimation by establishing a channel prediction model enhanced by a spatial transformation network, configures layered coding parameters according to a prediction result and optimizes motion search in combination with inertial measurement unit data. An optimal coding mode is selected by an application rate distortion optimization algorithm, enhancement layer sending is adjusted according to real-time feedback by adopting a dynamic transmission scheduling strategy, and differential forward error correction protection and a time-space domain error concealment mechanism are matched; the technical problem that video transmission is unstable due to violent fluctuation of channel quality when intelligent equipment moves and works in complex electromagnetic environments such as a transformer substation is solved.

The present disclosure relates to methods and apparatuses for transmitting and / or receiving data. For example a data transmitting includes obtaining first data addressed to a first wireless device and second data addressed to a second wireless device different from the first wireless device; generating a first redundancy version from the first data and a second redundancy version from the second data; obtaining common data as a separable combination of the first redundancy version and the second redundancy version; and obtaining encoded first data by forward error correction code (FEC) encoding of the first data and obtaining encoded second data by FEC encoding of the second data. The transmitter then transmits a signal carrying the encoded first data, the encoded second data, and the common data at the same time on different beams. Correspondingly, a user parses the common and the private data and combines them.

The invention relates to a BMC firmware mirror image recovery method and device and terminal device.The method comprises the steps that a storage area of a preset storage chip is divided into multiple areas, and the multiple areas comprise a first area and a second area; a first file in the firmware mirror image file is coded through a forward error correction algorithm, redundant recovery data is obtained, backup files of second files except the first file in the firmware mirror image file are obtained, and the first file comprises a root file system; the first file and the redundancy recovery data are stored in the first area, and the second file and a backup file of the second file are stored in the second area; when it is detected that the first file is abnormal, the first file is recovered based on the redundant recovery data through a forward error correction algorithm; and when detecting that the second file is abnormal, recovering the second file through the backup file of the second file. According to the method and the device, the problem that the reliability of recovering the firmware mirror image file through out-of-band network transmission is relatively low is solved.

The invention discloses a streaming media adaptive transmission method and system based on reinforcement learning and electronic equipment, and the method comprises the steps: obtaining current streaming media state data, obtaining and sending streaming media control information through an online reinforcement learning model, then obtaining latest streaming media state data, and calculating a model award to continuously update the model; adopting a federated learning method to aggregate the models of all streaming media clients to obtain a new global model; the system comprises a sending end module, a receiving end module, a forward error correction module, a network state detection module, a video quality evaluation module, a model aggregation module and a reinforcement learning agent module used for adaptively adjusting audio and video coding and forward error correction algorithm parameters. The method is suitable for various heterogeneous weak network environments, can effectively deal with the problems of occasionality, complexity and the like of the network, realizes self-adaptive transmission of audios and videos, and remarkably improves the user experience quality.

The invention discloses a data transmission method and device, optical communication equipment, an optical communication system and a medium, and belongs to the technical field of optical communication. The data transmission method comprises: a first optical communication device sends first indication information to a second optical communication device, the first indication information being used for indicating a target forward error correction (FEC) codeword format, the target FEC codeword format being related to the length of uplink burst data of the second optical communication device, and the length of the uplink burst data being greater than the length of the uplink burst data of the second optical communication device; fEC code word formats corresponding to the lengths of the uplink burst data belonging to different data length intervals are different, and coding overheads corresponding to different FEC code word formats are different; and the first optical communication device receives uplink burst data sent by the second optical communication device, the uplink burst data comprising at least one FEC codeword, and the at least one FEC codeword is obtained by coding in the target FEC codeword format. And the FEC codeword format used by the second optical communication equipment can be flexibly configured.

The invention relates to the technical field of wireless communication, in particular to a super-Nyquist signal iterative interference elimination method based on symbol grouping and FEC (Forward Error Correction), which comprises the following steps of: acquiring bit streams, grouping symbols according to odd-even positions and encoding, and respectively generating and superposing odd-even sub-signals to generate FTN (Feeder Transfer Network) signals; performing matched filtering and sequence detection, and extracting soft information of odd and even positions; performing soft decoding on the soft information at the odd positions to generate Nyquist odd group signals; subtracting the odd-numbered group signals from the total signal of the receiving end to obtain even-numbered group feedback signals; performing matched filtering and soft decoding to obtain an even number position judgment bit, and regenerating an even number signal; and extracting an odd feedback signal by subtracting the total signal of the receiving end from the even regeneration signal, generating an odd decision based on Nyquist matched filtering and soft decoding, and performing loop iteration until ISI is completely eliminated. According to the invention, efficient and robust suppression of ISI in the FTN system can be realized, and the method can adapt to the dynamic change of an optical fiber channel.

Systems and techniques for forward error correction decoding process power reduction are described herein. A first codeword is identified in a network transmission. A conditional decoding window starting with the first codeword is generated. The conditional decoding window is aligned with frames of the network transmission. A report is generated that includes an indication of a correlation of the conditional decoding window to the network device. The conditional decoding window and the report are sent to the network device. A conditional decoding window including a first codeword is received. The first codeword is decoded to determine a second codeword. A report is obtained that includes a codeword correlation bit for the second codeword. Upon determining that the codeword correlation bit indicates that the second codeword is not correlated, the second codeword is discarded without decoding the second codeword.