516 results about "Mutual correlation" patented technology

A proximity measuring apparatus (70) comprises an interrogator (80) for generating an interrogation signal encoded with a reference signature code comprising concatenated codes and emitting it as interrogating radiation. It also incorporates a transponder (90) for receiving the interrogating radiation, demodulating it to extract its signature code and then remodulating it after a delay period to provide a signal for reemission as return radiation therefrom. The interrogator (80) receives return radiation at its antenna (260) and demodulates it to extract its signature code and then correlates the code with the reference code to determine mutual correlation thereof. The interrogator (80) incorporates a computer (290) for controlling a scan direction of the antenna (260) and for measuring time delay between emission of the interrogating radiation therefrom and receipt of corresponding return radiation. The computer (290) computes distance and relative bearing of a transponder (90) providing the return radiation from the scan direction and the time delay. The apparatus (70) may be used for improving road vehicle safety.

Systems, methods and computer readable media are disclosed for grouping complementary sets of standard gestures into gesture libraries. The gestures may be complementary in that they are frequently used together in a context or in that their parameters are interrelated. Where a parameter of a gesture is set with a first value, all other parameters of the gesture and of other gestures in the gesture package that depend on the first value may be set with their own value which is determined using the first value.

The Brain system employs a graphical user interface to facilitate user interaction with highly flexible, associative "matrices" that enable users to conveniently organize digitally-stored "thoughts" (inter-related information) and their network of inter-relationships. Generally, ways are provided for interacting with the Brain by means of unidirectional messaging, including without limitation e-mail, instant message, paging, SMS, phone calls or even computer-generated postal mail. The system can update users of changes or other events by those means, and users can input queries, navigation, new data or other commands to the system by those means. Sending new users unidirectional messages that display interactive views of the Brain fosters viral propagation of an alternative user interface. Means are also provided for synchronizing local versions of common data repositories with centrally-stored versions of the same using those same sorts of general purpose unidirectional messaging methods.

A method of determining the location of an unknown source 10 transmitting a signal to satellite relays 14 and 16 comprises receiving replicas of the signal from the relays at receivers 18. The receivers 18 also transmit and receive reference signals via respective relays 14 and 16. All signals are downconverted, digitized and correlated with one another in pairs using a correlation function including a term which compensates for time varying differential frequency offset (DFO). Compensation for time varying differential time offset or time dilation is achieved by replicating or adding to signal samples and applying phase corrections. This procedure enables a correlation maximum and associated measurement results to be obtained despite the effects of relay satellite motion which mitigate against this. Results are used in a prior art geometrical technique to locate the unknown transmitter.

A sound source localization method of a three-dimensional space adopts a movable small microphone array and a sound source localization technology based on time delay estimation. The small microphone array is used for collecting a period of target sound source signals, a mutual correlation algorithm is used for calculating time differences between the microphones of the small microphone array, the time differences are substituted into computational formulas of azimuth and elevation to get the azimuth and the elevation of the target sound source, and then the small microphone array is moved for some distance along a certain azimuth, and the operations are repeated to get the azimuth and the elevation of the target sound source at the moment. Through measuring the azimuth and the elevation of the target sound source twice, the distance of the target sound source is calculated. The method of measuring target sound source is a passive method. The small microphone array is moved during the measuring process, and the defects that accuracy of the sound source target distance measuring of the prior art is low, and cost is high and safety is not ensured due to the fact that an active method is adopted to measure the sound source target distance are overcome.

The invention relates to the technical field of movement behavioral analysis and prediction in a sense network environment, and specifically to a movement space-time trajectory analysis method in the sense network environment. The movement space-time trajectory analysis method in the sense network environment comprises data reception of receiving trajectory movement position data generated by a positioning device and resolving the data format into a data format applicable to data treatment; semantic treatment of performing clustering operation on the semantic trajectory data; space-time correlation of performing characteristic analysis and statistics on clustered semantic trajectory data in a time domain and a space domain, and performing time-space correlation analysis in combination with the time domain and the space domain; correlation similarity analysis of calculating space-time correlation similarity of the semantic trajectory and performing analysis and calculation on the correlation among different space domains and different movement objects; outputting a result. The movement space-time trajectory analysis method in the sense network environment solves the problem of continuous treatment and mutual correlation of time and space dimensions in a traditional transactional database, and meets the need from a sense network application service to real-time analysis of trajectory movement data.

The present invention relates to the Internet tendering and bidding field, especially to an all process electronic tendering and bidding bid evaluation system and method. The system comprises an information publishing platform, a credit information collection subsystem, a basic information system, an information archive management subsystem, a tendering subsystem, a bidding subsystem, a bid opening subsystem, a remote coordination management subsystem, a remote nonlocal bid evaluation subsystem and a tendering and bidding supervision subsystem. The all process electronic tendering and bidding bid evaluation system and method can provide a special platform aiming at different users, 10 application systems cover three platforms of tendering and bidding transaction, administrative supervision and public service, systems are mutually associated and restricted to form whole resultant force and construct the new system of tendering and bidding management.

A circuit for synchronizing symbols of a received OFDM signal includes a cross-correlation detecting unit configured to detect cross-correlation of a received signal to generate a value of the cross-correlation, a synchronous summation unit configured to obtain synchronous summation of the value of the cross-correlation performed at predetermined intervals, a received electric power obtaining unit configured to obtain received electric power of the received signal, an autocorrelation electric power obtaining unit configured to obtain autocorrelation electric power of the received signal, a threshold obtaining unit configured to obtain a synchronous summation threshold responsive to the received electric power, and a symbol timing detecting unit configured to identify timing of a peak of the synchronous summation as symbol timing in response to detecting, at the timing of the peak, that the autocorrelation electric power is smaller than the received electric power multiplied by a predetermined factor and that the synchronous summation is larger than the synchronous summation threshold.

Provided is a cyclic shift sequence generation method which can prevent coming of an interference wave into a desired wave detection window even if a cyclic shift sequence has a high mutual correlation in different bandwidths, thereby improving a channel estimation accuracy in a base station. In this method, a cyclic shift sequence number to be allocated to a cell is decided in advance. Moreover, when the cyclic shift amount between cyclic shift sequences allocated in cells is Δ1 and the cyclic shift amount of the cyclic shift sequences allocated between the cells is Δ2, Δ1 and Δ2 are made different when generating a cyclic shift sequence.

In an electronic communication system, relevance levels of an incoming or outgoing message for presenting it to an interlocutor is measured without having to actually interact with the interlocutor, by a method comprising the steps of extracting from the message, a flow of digital signals pertaining to transmission / reception context features, to content of the message and / or to other interlocutors with the interlocutor; weighting probabilistically the digital signals by means of indicators of relative and interrelated frequencies of occurrences of the same digital signals extracted from previous messages; from the results of the above steps, auto-generating a Bayesian network that allows the interlocutor to obtain a probabilistic prediction on the attractiveness of sent / received signals or messages, or find most probably interested interlocutors for a given information or message, each node of the Bayesian network being associated with a signal.

The invention provides an IQ unbalanced calibration method and equipment of baseband signals in a wireless communication receiving machine. The method comprises the following steps that: the receiving machine receives radio frequency signals, and generates identical phase component path I signals and orthogonal component path Q signals through signal processing; a self correlation valve E(|I|2) of the path I signals, a self correlation value E(|Q|2) of the current path Q signals and a mutual correlation value E(IQ) of the path I signals and the path Q signals are obtained through calculation; carrying out four arithmetic operation on E(|I|2), E(|Q|2) and E(IQ); an estimated value of the current magnitude unbalanced calibration factor and an estimated value of the current phase unbalanced calibration factor are obtained through calculation; and the current path Q signals are calibrated according to the estimated values. The embodiment of the invention can reduce the operation quantity.

The invention discloses an underwater navigating and positioning method of an AUV (Autonomous Underwater Vehicle) based on SINS / USBL tight combination. The AUV comprises a strap-down inertial navigation system SINS and an ultra-short base line system USBL; the ultra-short base line system comprises a hydrophone receiving array mounted on AUV and a sound source arranged on the seabed. The method comprises the following steps: calculating slope distance according to propagation time from sound wave to an array center hydrophone, carrying out mutual correlation of frequency domain weighting to obtain time delay difference from the sound wave to two hydrophones on an array coordinate axis so as to calculate arrival distance difference, filtering the slope distance and the arrival distance difference output by USBL and the slope distance and the arrival distance difference calculated by SINS, filtering, outputting and carrying out re-feedback compensation on SINS. Through the underwater navigating and positioning method of the AUV based on SINS / USBL tight combination, the problem of long-term position error accumulation of SINS is solved; through tight combination of the slope distance and the arrival distance difference of USBL and the slope distance and the arrival distance difference of SINS, coordinate conversion errors and array offset errors caused by direct calculation of the position of USBL are avoided; the positioning accuracy of the AUV is improved.

The invention discloses a virtual array DOA estimation method based on an L type array. The method comprises the steps that 1, based on the shift invariant property, a subarray Zx and a subarray Zy of the L type array horizontally shift to obtain a virtual array Zx' and a virtual array Zy', rotation invariance of two sub signals is formed due to the shift invariant property of the subarrays, and the virtual subarray signals are equal to the L type subarray Zx and L type subarray Zy input signals multiplied by a twiddle factor respectively; 2, the output of the four subarrays are combined to form a virtual array output signal Z (t); 3, the signal subspace and the noise subspace can be described by decomposing the features of covariance matrixes output by the array, mutual correlation processing is carried out on the array output signal Z(t) to obtain Rzz, and eigenvalue decomposition is carried out to obtain signal subspaces; 4, the twiddle factor is solved through linear operation, and the signal wave arrival direction can be obtained through the diagonal element of the twiddle factor. According to the virtual array DOA estimation method, no spectral function needs to be calculated, the phenomenon that the wave arrival direction is indirectly calculated without searching for the peak value is avoided, the complexity is lowered, the equipment complexity and cost are reduced, and the positioning precision is high.

The invention discloses a convolutional neural network and support vector machine-based human body behavior recognition method. The method comprises the following steps of: obtaining an RGB image comprising a person through a camera; carrying out feature extraction on the RGB image to obtain a group of convolutional feature map; inputting the convolutional feature map into a double-branch deep convolutional neural network to carry out processing, so as to obtain joint information and joint association information of the person in the RGB image, and generating human body skeleton sequence datathrough joint matching, wherein the joint association information indicates mutually associated information between adjacent joints; normalizing the obtained human body skeleton sequence data; and recognizing and classifying a human body skeleton sequence map through a multi-classification support vector machine. According to the method, human body behaviors are recognized through extracting and processing human body skeleton information, so that the method has favorable robustness and correctness; and real-time behavior recognition and analysis can be carried out on the basis of two-dimensional image data acquired by a conventional video monitoring system, so that the method has universality and practical significance for the application in the fields of intelligent security, production security and the like.

The embodiment of the invention discloses a TD (time division) frequency planning and scrambling code planning method based on an adjacent zone priority level, comprising: an adjacent cell priority level is generated through a zone adjacent factor, a zone factor and a zone direction factor based on the base station zone attribute according to the system technical scheme; and a TD main carrier frequency is distributed according to the generated adjacent zone priority level to ensure the minimality of the frequency interferences among zones; and then, a system assigns base scrambling code blocks and scrambling codes according to the adjacent zone priority level and the frequency so as to ensure the average minimization of the mutual interference of the frequency scrambling code among zones. According to the embodiment of the invention, the calculation method of the adjacent zone priority level is more reasonable, and the setting and switching process of the adjacent zone relationship is more reasonable. Furthermore, co-frequency encounter phenomena among the adjacent zones are avoided by adopting the scheme, so that the mutual correlation of the scrambling codes among the adjacent zones is minimal, and the maximal frequency resource and scrambling code resource utilization and the minimum frequency and scrambling code interferences among zones are ensured. And the network performance indexes such as call completing rate are improved, and the client perception quality is greatly improved.

To provide a signal processing circuit which makes it possible to accurately estimate not only amplitude error but also phase error of a signal caused by device characteristics of components of a receiver, correct swiftly the error component without providing feedback control, and eliminate signal deterioration. This signal processing circuit is arranged to have a cross-correlation value calculating unit for calculating a cross-correlation value of a pair of signals having undergone a quadrature detection and a phase error calculating unit for calculating a phase displacement of one of the pair of signals with respect to the other of the same as a phase error based on the cross-correlation value calculated by the cross-correlation value calculating unit.

The invention discloses a method for establishing correlation among multiple terminals. The method comprises the steps that a first terminal acquires first identification information of a target terminal which comprises at least two terminals; the first terminal sends a first request message, which is used for requesting that mutual correlation be established between the target terminal and the first terminal, to a server, wherein the first request message comprises the first identification information and second identification information of the first terminal; the server establishes the mutual correlation between the target terminal and the first terminal according to the first request message. Accordingly, the invention further discloses a system and a device relevant to the method. By means of the method, the system and the device, correlation can be established among the multiple terminals.

The invention provides a mutual correlation technology for measuring permeability stress sensitivity of ultra-low permeability rocks. The technology comprises the following steps: a) an ultra-low permeability rock core of shale or tight sand rock and the like is selected, and processed into a cylindrical sample; b) a cylindrical steel block standard sample is processed for system calibration; c) the measurement of ultra-low permeability is carried out through a periodic oscillation method, the pore medium can employ gas or water, and the measurement result of the steel block is used for calibrating the system; d) the rock core is placed in a clamp holder, and applied with confining pressure and pore pressure, the rock core is saturated, An upstream sine pressure wave is applied and kept constant, the responses of the downstream pressure waves at different confining pressures are measured; e) the downstream pressure waves at different confining pressures are subjected to mutual correlation analysis, the change of permeability with confining pressure is obtained. Combined with a periodic oscillation method for measurement of permeability of ultra-low permeability rocks, pressure waveforms for measurement of permeability are subjected to mutual correlation analysis, the precision of measurement of permeability change is raised, and the problem of measurement of ultra-low permeability stress sensitivity is solved.

The invention discloses a digital passive infrared static human body detector which comprises an outer shell, a microcontroller and a PIR sensor and is characterized in that a Fresnel lens is arranged at the front end of the PIR sensor, a matched reflector is installed between the PIR sensor and the Fresnel lens, and the microcontroller is connected with a power source module, a drive motor and a detection switch. A detection method includes: a, background noise is learned, and a background noise sequence is formed; b, dynamic human body detection is carried out; c, delayed output is carried out; d, static detection is judged whether to be carried out or not; e, detection signals are acquired, and a detection signal sequence is formed; f, the digital mutual correlation calculation is carried out; and g, a static human body is judged whether to exist or not. According to the detector and the method, false assumption of a prior passive static human body detector and the defect that the human body under the static state can not be detected are abandoned and avoided, and the human body under the static state in a detection area can be effectively and accurately detected so that the static detection is achieved.

The invention provides an integral coding / decoding method based on MIMO radar communication. The orthogonal spread spectrum code sequence guarantees the orthogonality of bipolar phase spread spectrum code sequence based on WalsH matrix. The requirement of the radar to the detection of signal self-correlation peak value, mutual correlation peak value low side-lobe can be satisfied through the genetic algorithm. The signal encoding is based on soft spread spectrum biorthogonal encoding. To satisfy the requirement of the MIMO radar to detection signal, different spreading coding sequences can be used on different encode element positions; special sending channel can be reserved as the time and frequency synchronous standard, the first encode element position of each sending channel is reserved as the phase position standard, and special synchronous spreading codes are used on the positions. According to the method provided by the invention, conventional carrier frequency offset extraction technology, carrier phase partial extraction technology and soft spread spectrum biorthogonal decoding method are improved specifically according to the requirement of the radar / radio frequency integrate realization, accompanied by the frequency offset tracking technology with Alpha -Beta as the core, accuracy of data deviation correction is guaranteed.

A system and method is provided for determining whether a data frame of a coded speech signal corresponds to voice or to noise. In one embodiment, a voice activity detector determines a cross-correlation of data. If the cross-correlation is lower than a predetermined cross-correlation value, then the data frame corresponds to noise. If not, then the voice activity detector determines a periodicity of the cross-correlation and a variance of the periodicity. If the variance is less than a predetermined variance value, then the data frame corresponds to voice. In another embodiment, a method determines energy of the data frame and an average energy of the coded speech signal. If the data frame is one of a predetermined number of initial data frames, then a comparison between the average energy to the energy of the data frame is used to determine whether the data frame is noise or voice.

A receiver having an array antenna estimates arrival directions of multiple paths that arrive with an angular spread. Consequently, arrival direction estimation accuracy can be ensured without increasing throughput even if the power every path is low by estimating an average arrival direction of an entire set of multiple paths having the angular spread from a result of one angular spectrum by multiple correlation operation units that perform mutual correlation operations with pilot signals for baseband signals received by the array antenna, a path detection unit that detects multiple arrival path receiving timings by generating a delay profile based on output of each of the correlation operation units, a path correlation value synthesis unit that synthesizes a correlation operation value calculated in the multiple correlation operation units and an arrival direction estimation unit that collectively estimates multiple path arrival directions using output of the path correlation value synthesis unit.

The invention provides a method, device and terminal for determining an identity identification of a human face in a human face image. The method includes the step of obtaining an original characteristic vector of the human face image, selecting k candidate vectors from a human face image database according to the original characteristic vector, choosing a matching vector of the original characteristic vector from the k candidate vectors, and determining an identity identification, recorded in the human face image database, of the matching vector as the identity identification of the human face in the human face image according to the matching vector of the original characteristic vector. According to the method, device and terminal, low-lever human face characteristic vectors and middle-level characteristic vectors formed by interacting with self-correlation and mutual-correlation submatrixes in a combined Bayesian probability matrix are stored in the human face image database, the middle-level characteristic vectors contain characteristic vectors of human faces and information interacting with the self-correlation and mutual-correlation submatrixes in the combined Bayesian probability matrix, and efficiency and accuracy of human face identification can be improved.

The invention provides a method for synchronizing a downlink time and a frequency of an OFDM system, which comprises that: a sending end sends a training symbol for marking different cells, wherein the training symbol consists of two identical subsymbols and a cyclic prefix in a time domain, the time length of each subsymbol is Tuus, and the time length of the cyclic prefix is Tgus; a receiving end carries out autocorrelation calculation on a received signal and searches an autocorrelation platform in an autocorrelation value of the received signal; after the effective autocorrelation platform is detected, an initial position of the autocorrelation platform is determined as a time synchronization position, and a decimal frequency offset can be calculated by using the autocorrelation value of the autocorrelation platform. The invention further can intercept the received signal to carry out mutual correlation with the local training symbol from the time synchronization position acquired by the method, more accurately determines the time synchronization position and an integer frequency offset according to a double correlation peak generated by the structure of the training symbol, and at the same time can finely adjust the decimal frequency offset and distinguish different cells.

The invention relates to a method for measuring an amplitude phase, which comprises the steps as follows: two paths of digital periodic signals are received and obtained, and each path of signal performs self-correlation calculation to obtain amplitude values respectively; after being delayed by one quarter cycle, one path of signal and the other path of signal perform mutual correlation calculation, the product of each amplitude value is divided by an obtained result, and then the phase difference between two paths of signals is obtained through the solution of an inverse sine function. The method has the advantages that the negative phase difference can be measured by a method for solving an arcsine instead of an arc cosine through shifting, thereby the requirement for the actual measurement of an electromagnetic wave logging instrument is met, the arithmetic mean value is further taken through a plurality of times of measurement, thus further enhancing measuring accuracy.

The invention discloses window-scanning thermal imaging defect detecting and tomography method and system. When the system works, a detected objected is scanned by a heat source and a thermal imager at fixed speed and is heated by the heat source, and temperature information varied along the time after the surface of the detected objected is heated is recorded by the thermal imager as original data; the original data is reconstructed to acquire a temperature variation sequence of each point of the detected objected as a detection signal; a specific signal is utilized or produced as a reference signal; the detection signal and the reference signal are processed by virtue of methods such as time domain, frequency domain and mutual correlation; a time domain feature value, a frequency domain feature value, a mutual correlation amplitude feature value and a mutual correlation phase feature value are extracted, and therefore, the defect detection and the tomography are achieved. The method and the system can be applied to the nondestructive testing of devices, the characterization assessment of materials and the quality control of products in the fields of aerospace, new materials, petrochemical engineering, nuclear power, railways, automobiles, special equipment, machinery, metallurgy and civil construction.

The image processing apparatus and method, and the program and the recording medium according to the present invention can make the coefficient vector into high precision by noise elimination or correction utilizing the mutual correlation of the divided image areas in the intermediate eigenspace, and allows relaxation of the input condition and robustness. The high correlation in the divided image areas in the intermediate eigenspace can reduce the divided image areas to be processed, and actualize reduction in processing load and enhancement of the processing speed.

The invention provides a coal-fired power plant boiler system and denitration system operation collaborative optimization method. The method comprises the following steps: the operation of a powder preparation system is optimized and adjusted; the operation of a combustion system is optimized and adjusted; the operation of a denitration system is optimized and adjusted; the coal-fired boiler NOx emission control and the SCR denitration system ammonia escape control are coupled for optimization and adjustment; an optimal operation oxygen quantity range of a coal-fired boiler under different loads and an optimal openness range of a burnt wind nozzle in the optimal oxygen quantity operation range are determined by combining the reductive atmosphere distribution characteristics in a near wall area of a hearth water cooling wall and the denitration ammonia escape conditions; and an optimal denitration efficiency range of the denitration system under different loads is determined. The three system operation collaborative optimization methods, provided by the invention, see the boiler system and the denitration system as a large system; the mutual correlation and influence among the three systems are decoupled from the angle of the large system; and the most economical and safest operation mode of the large system is obtained through optimization.

The invention discloses a knowledge-graph representation learning method based on multiple semantemes. The method includes the steps that different semantemes of relationships are considered, a modelbased on translation between physical vectors and relationship vectors and different semantemes of relationships in a triple structure are used in cooperation with projected vectors of head-tail entities to define relationship matrixes, correlation between the physical vectors and the relationship vectors in the triple structure is well expressed, and more parameters are not introduced; the physical vectors and the relationship vectors are correlated through loss functions, and the loss functions are optimized; when the optimization target is achieved, all the physical vectors and all the relationship vectors in knowledge graphs can be learned. By means of the knowledge-graph representation learning method based on the multiple semantemes, the problems of the heterogeneity and the unbalancedness between entities and relationships in a knowledge base are solved, and the entities and the relationships and correlation between the entities and the relationships are more accurately expressed, and are applied to large-scale knowledge graphs.

The invention discloses a synchronizing method of a high-speed mobile OFDM system. The method comprises the following steps: utilizing the first 10 identical short lead codes in a frame structure of a wireless LAN (local area network) protocol to determine the coarse synchronizing location; according to the coarse synchronizing location, extracting 2 identical long lead codes in a receiving signal and combining with a sliding window to perform fine synchronization; converting the transmitted known long lead codes into a time domain; calculating the mutual correlation value of the extracted long lead codes and the transmitted known long lead codes; determining the maximum of absolute value of the mutual correlation value and the location index corresponding to the maximum; setting the initial value of the preset sliding window; determining the sliding direction of the preset sliding window according to the location index corresponding to the maximum and the set threshold value index, performing fine synchronization, and determining the initial position of the long lead codes. The synchronizing method is applicable to accurately determining the synchronized position of the received information symbol for the OFDM system under the high-speed mobile vehicle-mounted IEEE 802.11p protocol.