190 results about "Low correlation" patented technology

A depth image coding method may calculate a depth offset of a depth image, may generate a prediction mode based on the depth offset, may minimize a prediction error of the depth image having a low correlation between adjacent points of view and a low temporal correlation and may enhance a compression rate. The depth offset may be calculated based on a representative value of adjacent pixels included in a template as opposed to using a depth representative value of pixels in a block and header information may not be needed to encode an offset and the offset may be generated by a depth image decoding apparatus. When a plurality of objects is included in a block, a depth offset is calculated for each of the plurality of objects and a motion vector is calculated for each of the plurality of objects and the depth image may be accurately predicted.

A wireless broadband communications system that can transmit signals over communications links with multiple modes of diversity, thereby allowing signals having very low correlation to propagate over the link along multiple orthogonal paths. The system can be implemented as a non-line-of-sight (NLOS) system or a line-of-sight (LOS) system. The NLOS system employs orthogonal frequency division modulation (OFDM) waveforms to reduce multi-path interference and frequency selective fading, adaptive modulation to assure high data rates in the presence of channel variability, and spectrum management to achieve increased data throughput and link availability. The LOS system employs space-time coding and spatial and polarization diversity to minimize ground bounce nulls. The system achieves levels of link availability, data throughput, and system performance that have heretofore been unattainable in wireless broadband communications systems.

A dual-antenna diversity antenna system that operates within a low frequency band range is disclosed. Two antennas are folded separately onto a single three dimensional dielectric substrate in a meander pattern configuration. Each antenna has an independent feed port and ground pin. The two antennas are configured within a compact mobile terminal to produce high isolation and low correlation at resonating frequencies within the 700 Megahertz frequency band.

An interpolation image generating method includes dividing each of the first reference image and the second reference image into reference regions each including pixels, executing a correlation operation between the first reference image and first destination images located before and after the first reference image and a correlation operation between the second reference image and a second destination image to derive motion vectors for the first and second destination images every reference region, obtaining correlation values between the regions of the first and second destination images that are indicated by the motion vectors and the reference region to determine the reference region as a high or low correlation region, generating an interpolation image candidate between the first reference and second images using the reference region determined as the high correlation region, and mixing the interpolation image candidates using the motion vectors of the reference region to produce an interpolation image.

A method and apparatus inserts virtual advertisements or other virtual contents into a sequence of frames of a video presentation by performing real-time content-based video frame processing to identify suitable locations in the video for implantation. Such locations correspond to both the temporal segments within the video presentation and the regions within an image frame that are commonly considered to be of lesser relevance to the viewers of the video presentation. This invention presents a method and apparatus that allows a non-intrusive means to incorporate additional virtual content into a video presentation, facilitating an additional channel of communications to enhance greater video interactivity.

A method of transmitting a signal in a mobile communication system using multiple antennas including allocating bit-mapped symbols to the multiple antennas based on a correlation among the multiple antennas. Further, allocating the bit-mapped symbols allocates bit-mapped symbols transmitted from antennas having a higher correlation among each other to be retransmitted from antennas having a lower correlation among each other, and allocates bit-mapped symbols transmitted from antennas having a lower correlation among each other to be retransmitted from antennas having a higher correlation among each other. In another example, allocating the bit-mapped symbols allocates the bit-mapped symbols to multiple antennas according to a detection efficiency of each symbol in addition to the correlation among the multiple antennas.

Techniques are provided to manage interference for soft handoff and broadcast services in a wireless frequency hopping communication system (e.g., an OFDMA system). These techniques may be used for the forward and reverse links. In a first scheme, an FH function ƒ_sho(r,T) is used for soft-handoff users, an FH function ƒ_{s<sub2>i</sub2>}(k,T) is used for users not in soft handoff in each sector s_i, and the FH function ƒ_{s<sub2>i</sub2>}(k,T) is modified to be orthogonal to the FH function ƒ_sho(r,T) if and when necessary. In a second scheme, the FH function ƒ_sho(r,T) used for soft-handoff users is defined to be orthogonal to or have low correlation with the FH function ƒ_{s<sub2>i</sub2>}(k,T) used for users not in soft handoff in each sector s_i, so that modification of the FH function ƒ_{s<sub2>i</sub2>}(k,T) is not needed. The FH function ƒ_{s<sub2>i</sub2>}(k,T) for each sector may be defined to be pseudo-random with respect to the FH functions ƒ_{s<sub2>i</sub2>}(k,T) for other sectors.

The invention relates to a medical search engine and a system based on a repository. The engine works as follows: capturing a Chinese medical health directory to establish an original medical webpage database, extracting related information on webpage in the original medical webpage database and extracting comment information on hospitals, departments and doctors, so as to establish a medical comment information database, carrying out medical comment attribute field extraction of the abstracted related information by means of term frequency statistics and questionnaire to extract viewpoint phrase, analyzing viewpoint phrase orientation, determining an analytic result showing whether the comment information is positive or negative, determining the ranking of hospitals, departments and doctors, ordering search results according to a medical repository, and providing a user with highly structured and highly related information. In order to overcome the disadvantages of the result information of a common search engine such as unstructured form and low correlation degree and accuracy, the medical search engine and the system establish the medical repository to provide a user with highly structured medical information, and increase both correlation degree and accuracy for the user during querying medical information; moreover, the medical search engine and the system can effectively increase the accuracy and the recall rate of search results.

Systems for improving radio reception on a mobile device are provided. In exemplary embodiments, the system comprises a headset apparatus having a plurality of antenna elements. In exemplary embodiments, the plurality of antenna elements may be positioned in such a manner as to result in low-correlation between the plurality of antenna elements. For example, at least one of the antenna elements may be vertically oriented near a plug of the headset apparatus. Further antenna elements may be oriented vertically, horizontally, or both near an earpiece of the headset apparatus or above a juncture where a left and right cord of the headset apparatus splits. Exemplary embodiments may also comprise a receiving device configured to receive RF signals from the plurality of antenna elements and process these signals for playback on the headset apparatus.

Performance of statistical machine learning techniques, particularly classification techniques applied to the extraction of attributes and values concerning products, is improved by preprocessing a body of text to be analyzed to remove extraneous information. The body of text is split into a plurality of segments. In an embodiment, sentence identification criteria are applied to identify sentences as the plurality of segments. Thereafter, the plurality of segments are clustered to provide a plurality of clusters. One or more of the resulting clusters are then analyzed to identify segments having low relevance to their respective clusters. Such low relevance segments are then removed from their respective clusters and, consequently, from the body of text. As the resulting relevance-filtered body of text no longer includes portions of the body of text containing mostly extraneous information, the reliability of any subsequent statistical machine learning techniques may be improved.

The invention provides a method for low-correlation one-way cross-domain identity authentication based on private key. The method comprises the following steps: a user registers a user name in a common ID server and the system allocates a common ID to the user if the registration is successful; the user logins to the common ID server to acquire the authenticated ID; the user clicks the link of a Website in the common ID server and the common ID server transfers the common ID of the user and a relevant key to the Website; the Website receives the parameters transferred from the common ID server, if determining the first visit, allocates the user name to the user by use of the acquired two parameters (i.e. common ID and key) and calls a log-in module to succeed in the identity authentication; and if determining the second visit, the Website calls the log-in module to succeed in the identity authentication by use of the acquired two parameters (i.e. common ID and key). The method is applied to the log-in procedure bound to the mobile telephone number of the user and the multiple internet application names of the user in the mobile internet, and has the advantages of good privacy property, easy use, convenience for network management and strong applicability.

In a liquid crystal display apparatus realizing a dual view display by bonding a liquid crystal panel and a parallax barrier, the parallax barrier separates display images by treating three pixels including R, G, and B pixels as one unit (one picture element). At this time, luminance variation due to crosstalk concentrates on a right-end pixel among the three pixels constituting the one picture element (in a case where each pixel receives data from a source line immediately on the left of the pixel). Accordingly, the right-end pixel is arranged to be a B pixel that has a low correlation with luminance information and in which influence of crosstalk is hard to be viewed.

The invention provides a pipeline leakage signal identification method based on improved ELMD multi-scale entropy. The pipeline leakage signal identification method includes the steps that firstly, acquired experimental data are subjected to noise pre-processing to eliminate low-correlation components in signals; then pre-processed signals are subjected to ELMD processing to obtain PF components;an endpoint effect problem reserved by ELMD decomposition is weakened through a peak value waveform matching method; the multi-scale entropy of the PF components is calculated correspondingly, and multi-scale entropy values of leakage signals are arrayed and compared to eliminate background noise; a feature vector is constructed by selecting a principal PF component according to the multi-scale entropy values; the feature vector is used as an input vector of a BP neural network to train the network; and a to-be-tested sample is input into a trained BP neural network to obtain a pipeline leakage identification result. The pipeline leakage signal identification method based on the improved ELMD multi-scale entropy can adapt to various conditions of pipelines and has good testing accuracy.

The invention discloses a precipitation prediction method based on a deep network. The precipitation prediction method comprises specific steps as follows: collecting hydrological environment data, preprocessing the data and normalizing the data in a 01 interval; detecting the sufficiency of environmental factors by using KMO test and Bartlett sphericity test, and screening the environmental factors with a factor analysis method after test; using a divided training sample as an input value of the deep network, subjecting the network to hierarchical unsupervised learning and then performing reverse fine adjustment on the whole network by use of a top BP network to guarantee the precision; using a test sample as the input of a trained model and inversely-normalizing the output obtained from the model to obtain the predicted result of precipitation. The precipitation of an area in the future can be predicted more accurately, the factors with lower correlation are screened out with the factor analysis method, the calculation efficiency is improved, and the scientificity and reasonability of the precipitation prediction process are greatly enhanced.

The invention discloses a synchronization signal transmission method applied to a large-scale antenna array. The method comprises the following steps that: (a) an antenna array of a base station is configured into a one-dimensional linear array or a two-dimensional rectangular array; (b), the base station generates an original synchronization signal, maps the original synchronization signal to each antenna or each beam port by using a weighted vector, and transmits the mapped synchronization signal from each antenna; and (c) low-correlation weighted vectors can be used for realizing transmission diversity at different moments. When the antenna array of the base station is the one-dimensional linear array or the two-dimensional rectangular array, the original synchronization signal can be mapped to each antenna or each beam port by using a cyclical orthogonal sequence as the weighted vector, and the omnibearing coverage of the synchronization signal in a current cell (or a sector) can be realized; the method is low in implementation complexity and universal for different scenarios; and transmitted power can be maximally utilized, and the omnibearing coverage can be realized within a short time.

In a method and a device for transforming a stream of digital numbers, the correlation between successive numbers is utilized in order to obtain a new stream having a very low correlation between the numbers, whereby the sequence of numbers can be coded much more efficiently from a compression point of view. The numbers are for this purpose coded with the difference between a predicted number (s'(i)) and the actual number (s(i)) taking into account that the sequence does not need to be possible to decode in reverse order. The non-reversible codes can also be applied in lossy data compression schemes. Such schemes can change in accordance with the currently available bandwidth in order to obtain a graceful degradation and optimal bandwidth usage when the compressed data stream is transmitted over a channel having a time varying bandwidth. A general method and device for reversible coding are also provided.

The present invention relates to paper and a production method thereof, in particular to decorative paper which is processed and produced by domestic surface paper and has decorative and wear-resistant effects and a production process thereof. Liquid wear resistant paper disclosed by the present invention comprises raw paper and a wear resistant coating, the raw paper is domestic surface paper, and the quantity is 18-35 g/m<2>; and the wear resistant coating is a glue layer formed on the surface of the surface paper, the glue layer is formed by adding white corundum particles, a suspending agent, a dispersant and a curing agent into glue and uniformly stirring. The liquid wear resistant paper and the production process thereof have the advantages that definition is high, the number of wear resistant revolutions has a low correlation with the definition, the definition is seldom affected, and the effect is similar to that of real woods; the number of the wear resistant revolutions can be adjusted according to requirements of clients and can reach up to AC 5 without changing the raw paper; and the glossiness is high and can reach up to 90-105 Gs.

The invention discloses a power transaction big data publishing method based on differential privacy protection, which comprises the following steps of utilizing MICFS to carry out feature selection on the correlation of the original data set of the power transaction, and selecting the data record with low correlation to generate the data set B to be determined; using a clustering algorithm to partition a K-block to obtain a plurality of sub-data blocks with mutually independent attributes; after deleting a record in the sub-data block, using the inquiry function f to inquire about the sensitivity GSD of the original data set and the sensitivity GSB of the inquiry B; according to the property of differential privacy parallel combination, adding Laplace noise, obtaining the training samplequery set satisfying the differential privacy as a set of machine learning training samples; training the Lasso regression algorithm to generate the prediction model, and inputting the original data set into the model, and outputting the query set of D. The method of the invention enables the data publishing accuracy and safety to be improved, and reduce the computing overhead and privacy budgets.

The invention relates to a wafer yield prediction method based on a deep learning model. The method comprises the following steps: carrying out data preprocessing on electrical test parameters in theactual production process of a wafer, and processing redundant data in the electrical test data of the wafer in combination with a principal component analysis method to obtain low-correlation data suitable for model input; secondly, dividing a training set and a test set for input key electrical test parameters; designing a continuous deep belief network model for predicting the wafer yield on the basis. The model mainly comprises two parts, the first part is a multi-hidden-layer continuous restricted Boltzmann machine model and is used for extracting feature information of input variables ofthe model, and the second part is an error back propagation network model and is used for finely adjusting the extracted feature error information. According to the invention, the wafer yield can beaccurately predicted by using the electrical test data in the wafer production process.

Provided is a relay-synchronization signal (R-SS) transmitting apparatus and method in an orthogonal frequency division multiplexing (OFDM)-based Long Term Evolution Advanced (LTE-A) system having a multi-hop relay. The R-SS transmitting apparatus generates a R-SS having the same peak-to-average power ratio (PAPR) characteristic as a synchronization signal (SS) and having a lower correlation characteristic than the SS, using the SS for synchronization with a terminal, for synchronization between a relay and a base station, for a synchronization between a relay and a subordinate relay, and for monitoring, by a relay, an adjacent base station or an adjacent relay