511 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.

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.

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.

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 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.

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 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 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 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.

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