115results about How to "Prevent error propagation" patented technology

A method for communicating video data on a wireless channel in a packet-switched network includes the steps of operating at a wireless terminal a compression in packets on the video data during a video coding operation, detecting wireless channel conditions and adapting control parameters of the video coding operation to the detected wireless channel conditions. The compression operation is a robust header compression operation and the step of adapting control parameters of said video coding operation is performed in dependence of information about the wireless channel conditions detected on a feedback channel made available in a decompression step associated with the compression operation.

An encoding and / or decoding system, medium, and method with spatial prediction and spatial prediction compensation. The system may include a spatial prediction unit that spatially predicts pixel values of a current block of an image using neighboring blocks in a row immediately above the current block among neighboring blocks that are spatially adjacent to the current block. The spatial prediction unit performs spatial prediction using replaced pixel values of neighboring blocks in a row immediately above the current block every predetermined row unit, with the pixel values of neighboring blocks in a row immediately above the current block every predetermined row unit being replaced with a predetermined reference value.

A radio link protocol (RLP) / point-to-point protocol (PPP) design is disclosed for wireless multimedia packet networks that passes corrupted packet data and error location information among OSI layers. The RLP layer provides erasure data frames and optionally error location indicators to the PPP layer. When the PPP layer has access to the erasure data frames, the data frames can be padded with a predefined value, such as all zeroes “0” to prevent error propagation from one data frame (or octet) to the following data frames (or octets). When the PPP layer has access to the error location information, the PPP layer can detect if the PPP packet header is corrupted. When a valid header is detected, the PPP layer forwards the packet payload to the higher layers (TCP, UDP) whether or not the payload is properly received. Thus, the application has access to all the usable information, so the application can determine whether and how to utilize the information. The RLP / PPP design of the present invention allows packets with partially corrupted payloads to still be forwarded to the UDP layer and then to the application layer.

The invention relates to multimedia communication technique, disclosing a multimedia communication method and the terminal design and implementation thereof, improving transmission reliability and communication quality. And the invention adopts ERRTP to provide a transmission layer packing form able to carry error resilient encoding solution related information on the basis of the existing RTP protocol, making multimedia data label the corresponding error resilient encoding solution related information while transmitted on ERRTP, thus merging error resilient mechanism into the transmission layer; in accordance with H.264 NALU structure, the invention provides a special ERRTP packing method and protocol header modification solution, able to integrate all NALU header bytes in the same ERRTP packet into its header, thus expressing important information of NALU in the ERRTP header and raising transmitting efficiency.

A method of inhibiting error propagation in a bidirectional digital compressed image data communication system is provided. A method of processing transmission data to inhibit error propagation in a digital image data communication system, includes (a) inputting an image frame from an external source, (b) checking for feedback error information including the location of an erroneous block on a compressed image frame detected during decoding by a decoder, the feedback error information received via a communication network, (c) if it is determined in step (b) that there is feedback error information, intracoding an erroneous block, the location of which is included in the feedback error information, and its search range, which is referred to encode the erroneous block using an intercoding method, among the image frame input in step (a), thereby constituting a compressed image frame, and (d) transmitting the compressed image frame constituted in step (c), via a communication network. When an error is detected by a decoder, it is fed back to an encoder, and the encoder uses a technique of compulsorily intercoding an erroneous block and the search range of the block with reference to feedback information, thereby inhibiting error propagation in a digital image data communication system.

The invention discloses a low-complexity polarization code decryption SCL algorithm based on segmented verification assistance, and the algorithm selects a parity check code, repeatedly uses the parity check code in a decryption process, and achieves the performances of SCL-CRC24. Moreover, compared with a conventional scheme, the algorithm is better in low signal to noise ratio anti-noise performance and error rate. In addition, the spatial complexity of the algorithm is lower than that of the SCL-CRC24, the time complexity is greatly reduced, and the decoding speed is greatly improved. Compared with a CRC-24 verification algorithm sacrificing multiple information bits, the algorithm employs a parity check method, enables verification elements to be distributed in the information bits, is repeatedly used in the decoding process, and is lower in time complexity than the prior art.

The embodiment of the invention discloses an image recognition method, device and equipment, a computer readable storage medium and a confusion perception convolutional neural network. The confusion perception convolutional neural network comprises a prediction classifier, a confusion perception model, a correction classifier group and a probability average layer, and the prediction classifier, the confusion perception model, the correction classifier group and the probability average layer are trained by using a training sample set and are used as traditional convolutional neural network classifiers. The confusion perception model is constructed based on a confusion matrix obtained by cross validation of a prediction classifier on the training sample set. Each correction classifier is obtained by using a confusion perception model as a decision-making system and training confusion class sample data with fuzzy boundaries in the training sample set. The probability average layer outputsa classification result of the to-be-identified image according to the category probability output by the prediction classifier and the category probability output by the target correction classifier, and the target correction classifier is a correction classifier selected by the confusion perception model according to the prediction category of the prediction classifier. The accuracy of image recognition can be improved.

An emulator for emulating a wireless network comprised of a plurality of RF nodes is comprised of a programmable controller for emulating the movements of the plurality of RF nodes within an emulated space. The controller provides both information and control signals based on the emulated movements. A programmable logic core receives a plurality of signals from the plurality of RF nodes and emulates signal propagation based on the information from the controller. A plurality of signal generation and conversion cards are interposed between the programmable logic core and the RF nodes. The signal generation and conversion cards are responsive to the control signals. Because of the rules governing abstracts, this abstract should not be used to construe the claims.

An apparatus for determining a propagation velocity for a surface wave comprises a coherent light source (105) for generating at least a first and a second light spot on a surface (103). A camera (111) captures at least one out-of-focus image of at least a part of the surface (103) comprising the light spots. The out-of-focus image comprises light spot image objects for the light spots where the light spot image objects have speckle patterns. An analyzer (113) determines the propagation velocity in response to a time difference between speckle pattern changes in the two speckle patterns. The camera may specifically use a rolling shutter allowing the determination of the propagation velocity to be based on a spatial analysis of the speckle patterns. The approach may in particular allow an efficient remote measuring of pulse wave velocities e.g. in animal tissue and in particular, in human tissue.

The invention relates to a processing method of word segmentation, part-of-speech tagging, entity identification and syntactic analysis, discloses a combined processing method of word segmentation, part-of-speech tagging, entity identification and syntactic analysis and belongs to the technical field of natural language processing. The core ideal of the method is characterized in that firstly, a combined model is constructed step by step; secondly, existing entity data and component syntax tree data are utilized to construct combined syntax tree data; thirdly, training data is extracted from the combined syntax tree data; fourthly, the training data is utilized to train the combined model; finally, the trained combined model is used for analyzing Chinese sentences to be analyzed to obtaina combined syntax tree serving as an analysis result. The method effectively avoids an error propagation problem and is an analysis method based on transfer, and the execution speed of the method is ensured.

An apparatus and method is disclosed for reducing error propagation in a decision feedback equalizer by constraining the values of feedback filter tap coefficients in a feedback filter of the decision feedback equalizer. The feedback filter tap coefficients that are constrained are calculated using a constraint cost function and a related constraint function. The constraint condition of the present invention reduces error propagation in a decision feedback equalizer by preventing error from circulating in a feedback loop of a feedback filter within the decision feedback equalizer.

The invention relates to a method for eliminating errors in compressed video transmission. A method for eliminating errors in H.264 compressed video transmission is disclosed, to eliminating errors in a simple and efficient manner. In the invention, an error information feedback mechanism is used in combination with error concealment and error propagation suppression to eliminate errors. An error is detected and statistics of error information, such as position of lost data, is obtained by sequence numbers of NALUs and information for carrying slices. An error information feedback channel is established in H.264 architecture by defining an extended SEI message. The error propagation is suppressed by segment-wise intra-coding in batches.

The invention provides an event extraction method. The method includes obtaining original corpora, labeling elements in sentences in the form of [label-element], dividing the marked corpus into a training set and a test set; mapping the training set into a vector by a pre-training language model; obtaining word embedding vectors, inputting the word embedding vector into a neural network model; outputting sequence label information by the neural network model; establishing a loss function based on the sequence label information, evaluating the event extraction model by using the test set to finally obtain an event extraction model, adjusting the training set and the test set structure for multiple times, selecting the event extraction model with the best evaluation result as an optimal model, and inputting a new original corpus into the optimal model to obtain an event extraction result; the event extraction method provided by the invention belongs to a supervised neural network extraction method, is combined with the fine-grained contextualized word vector in the field, and more conforms to the scene of event extraction in the professional field.

The invention is concerned with compressing video transmitting error-code eliminative method based on H.264, in order to eliminate the error-code simply and effectively, it is: combines the error-code cover and the error-code pervasion-control to achieve the error-code elimination by the feedback mechanism of the error-code information; loads the information check error-code occur of the Slice and the statistic of the error-code information such as the losing data location by the serial number of the NALU; establishes the inner error-code information feedback channel of the H.264 system by defining the extending SEI information; achieves the error-code pervasion-control by the sectional time-by-time in-frame coding.

The invention relates to a method for constructing a protocol data unit (PDU) of a media access layer (MAC layer) of a wireless communication system. The method comprises the following steps: constructing an MAC PDU in different sections, wherein one MAC Sub-PDU comprises four parts, that is, a synchronous code of N bit, an MAC head, an MAC Payload and a cyclic redundancy check code (CRC) of K bit. The invention further relates to an SDU (Service Data Unit) on the MAC layer and control information unit recovery method. By adopting the method, the throughput rate of the system is increased, and the precious shortage resource is saved.

The invention discloses a system and a method for compressing satellite images with low bit rate. The system comprises a control module, a wavelet transformation module, a CCSDS scanning coding module and a code stream splicing module. In the system and the method, image data are divided into a plurality of 32X32 (or 64X64 and 128X128) small images; then, the small images are transmitted into the wavelet transformation module, the scanning coding module and the code stream splicing module for obtaining compressing code streams. The wavelet transformation module, the scanning coding module and the code stream splicing module are used for line production among image blocks; and the scanning coding module is used for the line production along bit planes. The compressing effect of the system and the method for compressing the images is between JPEG 2000 and EZW; when the compression is carried out at a low bit rate, the compressing effect is equivalent to JPEG2000; a decoding re-synchronization mechanism is adopted for preventing error codes of space data from diffusing in transmission, with low power consumption; and extensively used parallel operation and a line structure increase the processing speed of a chip and meet the macro compressing requirement of the satellite images.

The invention discloses an entity relation extraction method and device. All entities having target relations with each sub-entity are stored in an obtained complete knowledge base, that is, attributevalues of all the stored sub-entities are complete, language data matched with an alternative relation mode obtained through analysis as well as entity pairs contained in the language data are determined through a corpus on the basis, the alternative relation has no semantic drift if the entity pairs exist in the knowledge base and can be determined as the target relation mode, and then the entity pair of a target relation is extracted according to the target relation mode. Understandably, the alternative relation mode has semantic drift if the entity pairs do not exist in the knowledge base,then the alternative relation mode is abandoned, and error propagation caused by iteration on the basis of the alternative relation mode is avoided.

The invention relates to a signal reception and detection method. The method comprises the following steps: an adjacent cell with a pilot signal for disturbing data signals in the cell is a disturbed cell; only the data signals in the cell in the different time-frequency resource positions with the pilot symbols in the disturbed cell are received and detected; and the first default value is adopted as the reception and detection result of the data signals which are not actually received and detected. In the invention, the data in the same time-frequency resource position with the pilot symbols in the disturbed cell is disturbed, therefore, the undisturbed data, i.e. only the data in the different time-frequency resource positions with the pilot symbols in the disturbed cell is actually received and accepted. The intensive interference of pilot frequency of the adjacent cell to the UE on the edge of the cell is avoided, the decoding performance of the UE is enhanced, and the demodulation errors are reduced; and the error propagation caused during the soft-decision iterative decoding is also avoided, so the data receptivity of the UE is further improved. The invention also provides a UE as well as a method and a device for signal transmission.

The invention provides a bottom-up multi-person attitude estimation method using bounding box constraints. The main process is as follows: firstly, the existing multi-person attitude estimation neuralnetwork is improved again, so that the accuracy is higher; secondly, a greedy algorithm using bounding box is designed for pose resolution; in addition, a non-maximal suppression attitude detection and removal algorithm is designed to remove the duplicate results, and finally, a simple greedy missing nodes algorithm is used to make the result more accurate.

The present invention relates to a one-way wave equation prestack depth migration method using an elastic generalized-screen (EGS) wave propagator capable of efficiently expressing the movement of an elastic wave passing through a mutual mode conversion between a P-wave and an S-wave while propagating boundary surfaces of an underground medium, by expanding, to an elastic wave equation, a conventional scalar generalized-screen (SGS) technique capable of quickly calculating the propagation of a wave in a medium in which there is a horizontal speed change, and according to the present invention, provided is a prestack EGS migration method for seismic wave multi-component data, which: can calculate a wave field with higher accuracy in a medium having a complex structure by expanding up to a second term of a Taylor series expansion of a vertical slowness term of a propagator; includes a mode separation operator in the propagator so as to directly use a shot gather as a migration input, without the need to separate multi-component data into a P-wave and an S-wave, enabling P-wave and S-wave image sections to be generated; and is configured to improve the quality of an S-wave migration image by correcting a polarity conversion in a wave number-frequency domain prior to S-wave imaging.

The invention discloses a text inference method based on limited semantic dependency analysis. The method comprises the following steps of: 1, according to a semantic dependency representation mechanism, establishing a Chinese text inference marking resource, wherein a text inference marking instance comprises a text T, a hypothesis H, a semantic dependency graph of the hypothesis and an inference type; 2, on the basis of the Chinese text inference marking resource, performing semantic dependency analysis on the hypothesis H which is newly input under the limitation of the text T which is newly input so as to judge whether the text T can infer the hypothesis H; and 3, evaluating, analyzing and summarizing an analysis process and a judgment result of the step 2, and improving the performance of the analysis process with feedback. By adoption of the method, the judgment of text inference is formalized into the problem of the limited semantic dependency analysis, and the text inference extends from entailment to preset and implication in type. The method contributes to processing of the inference of discourse and dialogue corpora which are relatively complicated.

In order to realize effective picture compression without significantly impairing the resolution, it is proposed that the picture to be compressed be subdivided into a plurality of picture areas, for example into picture blocks each having 16×16 pixels, and the picture areas be subdivided into a plurality of layers, in particular into three layers, which correspond to different sampling patterns. The pixels (13-15) of a layer are in each case predicted from adjacent pixels of the other layers, in particular of the already previously processed and coded layers, the prediction area being coded. The invention is suitable in particular for use in video coders or video decoders with motion-compensated prediction, in order to compress the reference picture to be stored in a reference picture memory (5).

The present invention provides an apparatus and computer implemented methods of modelling a hydraulically driven fracture. A computer implemented method of modelling a hydraulically driven fracture comprises predicting the direction and the geometry of a fracture using a finite element method, and inserting a new fracture into the model using a geometric insertion technique.

A method for communicating video data on a wireless channel in a packet-switched network includes the steps of operating at a wireless terminal a compression in packets on the video data during a video coding operation, detecting wireless channel conditions and adapting control parameters of the video coding operation to the detected wireless channel conditions. The compression operation is a robust header compression operation and the step of adapting control parameters of said video coding operation is performed depending on information about the wireless channel conditions detected on a feedback channel made available in a decompression step associated with the compression operation.

The invention discloses a disambiguation-free unsupervised part-of-speech tagging method based on error-correcting output codes. The disambiguation-free unsupervised part-of-speech tagging method comprises two main steps: (1) on the basis of a part-of-speech directory, generating training data; and (2) on the basis of the error-correcting output codes, carrying out training and testing. The disambiguation-free unsupervised part-of-speech tagging method does not need to tag corpora, can be applied to a part-of-speech tagging problem of a language which can not easily obtain the tagged corpus, and does not need to carry out disambiguation so as to avoid an error propagation problem in an iterative disambiguation process. A neuro-linguistic model is adopted to automatically generate characteristics used by training and testing so as to avoid the manual selection and construction of characteristics.

Linear predictive system with classification of LP residual Fourier coefficients into two or more overlapping classes, and each class has its own vector quantization codebook(s). The use of strong and weak predictors minimizes codebook size by only quantizing the difference between Fourier coefficients of a frame and the Fourier coefficients predicted from a prior frame. The choice of using either a strong or weak predictor adapts to the prior choice of predictor so that a strong predictor following a weak predictor is changed to a weak predictor to insure attenuation of error propagation as arise from frame erasures.

The invention relates to a multi-sequence frequency hopping anti-interference communication method based on pseudo-random linear frequency modulation, which comprises the following steps: a frequencymodulation slope is replaced with a controllable pseudo-random number in a linear frequency modulation signal; On the basis, the multi-sequence frequency hopping technology is combined with the multi-sequence frequency hopping technology; The carrier frequency of each hop is mixed with one pseudorandom linear frequency modulation signal, it is ensured that the extended bandwidth of the pseudorandom linear frequency modulation signal is smaller than the channel bandwidth, and a communication anti-interference waveform is generated. Based on multi-sequence frequency hopping, the multi-sequence frequency hopping anti-interference communication method based on pseudo-random linear frequency modulation is provided by taking further improvement of the anti-interference capability of multi-sequence frequency hopping communication as a research starting point, and can be applied to practice as an emergency communication means.