59results about How to "Shorten the estimated time" patented technology

A crosstalk channel estimation method, a device and a system. The method includes the steps of a vector control entity (VCE) generating an orthogonal training guide frequency sequence matrix according to user's route; the VCE allocateing guide frequency sequence for each on-line user route i respectively according to the orthogonal training guide frequency sequence matrix,wherein the guide frequency sequence allocated after being modulated is sent out by a tramsmitting end Ti of each on-line user route i, and the guide frequency sequences of any two routes among the on-line user's routes are orthogonal, VCE receiving error samples sent by the receiving end Ri of each on-line user route i, wherein the error samples are obtained by the receiving end Ri according to the modulation signal of the guide frequency sequences; and the VCE calculating the crosstalk channel estimation parameters based on the error samples and the guide frequency sequence of the on-line user routes.

To provide a terminal location estimation method capable of accurately estimating a location of a mobile terminal when providing information services according to the location of the terminal in a radio communication system. A positioning server sends a location measurement probe message to the mobile terminal in order to measure the location of the terminal. Each of base stations receives a response message broadcasted from the terminal, measures the reception level and delay spread and sends the measurement results to the positioning server. The positioning server has a radio wave propagation estimating portion and a database for storing estimation results thereof. The server estimates the location of the terminal by checking the measurement results of the base stations against the estimation results on radio wave propagation stored in the database.

A radio wave direction-of-arrival estimation apparatus and method that can estimate, at high speed and with good accuracy, the direction of arrival of a plurality of incoming waves having high correlation. The radio wave direction-of-arrival estimation apparatus includes: an array antenna constructed from a plurality of antenna elements; a receiver for receiving an incoming wave via each of the antenna elements; a correlation matrix calculator for calculating a correlation matrix from each received signal; a correction matrix adder for adding a correction matrix having a suitable correction value only at a specific matrix element to the calculated correlation matrix; an inverse matrix calculator for calculating the inverse matrix of the correlation matrix to which the correction matrix has been added; a weight vector calculator for calculating a weight vector based on the calculated inverse matrix; an angular spectrum calculator for calculating an angular spectrum by using the calculated weight vector; and a direction-of-arrival estimator for estimating the direction of arrival of the incoming wave from the peak waveform of the calculated angular spectrum.

The invention discloses a PSF fast calibration method based on single-lens imaging. Firstly, PSF estimation is performed on a group of single lenses of the same type, and a PSF template of the single lenses of the type is obtained by obtaining the average value of a group of PSFs; when other lenses of the type are used, existing complicated PSF estimation methods do not need to be completely repeated, the PSF template serves as an initial value of the PSF estimation iterative optimization process, and time needed in the PSF estimation process can be reduced. According to the PSF fast calibration method based on single-lens imaging, on the basis of the existing single lens imaging algorithm, the PSF calibration speed is greatly improved, a user can conveniently use the method, practical operability is strong, the quality of images is ensured, meanwhile, the cost of the lenses is greatly reduced, the size and weight of the lenses are reduced, and the PSF fast calibration method is of greatly significance in the field of image processing and camera designing.

The invention discloses a method for detecting the initial position of a surface mount type permanent magnet synchronous motor rotor. On the basis that a high-frequency voltage injection method is adopted in the method to estimate the initial position for the first time, the positive direction of a shaft d is judged directly by comparing the magnitude of a positive direction peak value and the magnitude of a negative direction peak value of current response of the shaft d, signals just need to be injected once in the whole process, estimation time is shortened obviously, and the estimation process is simplified.

The invention provides a low permeability coal seam electricity explosion vibration and microwave assisting liquid nitrogen freeze-thawing permeability increasing device. The low permeability coal seam electricity explosion vibration and microwave assisting liquid nitrogen freeze-thawing permeability increasing device comprises a pulse discharging reactor, a cable, a high voltage pulse generator,a fracturing pipe, a mining pipe, a high pressure rubber pipe, a microwave transmitter, a coaxial waveguide, a microwave converter, a microwave generator, a first hole packer, a second hole packer, anitrogen inflating pipe, a water box, a high pressure water pump, a liquid nitrogen pump and a liquid nitrogen tank. The invention further discloses a low permeability coal seam electricity explosionvibration and microwave assisting liquid nitrogen freeze-thawing permeability increasing method. A hydraulic fracturing technology, an electricity explosion vibration technology, a liquid nitrogen freeze-thawing technology and a microwave technology are harmoniously integrated, the permeability and the porosity of a coal seam are increased to a great extent, coal seam fractures can be increased, the liquid nitrogen freeze-thawing efficiency is improved, circular work is conducted, ice in the fractures is easily molten, the permeability of a low-permeability coal seam is greatly improved, the effect of mining and exhausting methane gas is improved, expected time needed for mining the methane gas is shortened by a large margin, and a superior premise is provided for mining the methane gas ofa mine.

In one embodiment, a method for estimating the number of tags in a set of tags in a system of tags and readers. The method includes, during each of a plurality of time intervals: (i) transmitting a command requesting that each tag that receives the command determine whether to transmit a reply; and (ii) receiving, in one or more timeslots of a frame corresponding to the time interval, replies from one or more tags. The method further includes providing an estimate of the number of tags in the set of one or more tags based on (i) timeslots in each of the plurality of time intervals that are zero timeslots, i.e., timeslots having no received reply, and (ii) the total number of timeslots in each frame.

The invention discloses a power system dynamic estimation method based on unscented Kalman particle filtering, and relates to the technical field of power system monitoring, analysis and control. Themethod comprises the following steps: step 1, initializing a current state variable of the power system, and calculating an initial state mean value and variance; 2, setting k as 1; 3, carrying out importance sampling to obtain a particle swarm and a weight at the k moment; 4, carrying out particle swarm splitting and weight adjustment on the particle swarm; 5, judging whether Neff<Nth is established or not, if yes, turning to the step 6, and if not, turning to the step 8; 6, copying and eliminating the particle swarm to obtain a new particle swarm and weight; 7, carrying out weight normalization again; 8, calculating a state estimation value of the power system; and step 9, judging whether k >= Omega is established or not, if not, setting k = k + 1, and turning to the step 3, and ending the dynamic estimation of the power system if so. According to the method, the suggested density distribution problem is improved, the estimation precision can be effectively improved, and the problemof particle shortage is effectively solved.

The invention discloses a method for estimating terrain by the polarization interference of the data of a synthetic aperture radar and a software thereof, which relate to synthetic aperture radars. The method comprises the following steps of: (A) filtering polarization interference data; (B) distinguishing different land types by utilizing a polarization classification technique; (C) dividing the data into the land types to form a plurality of simple subblocks; (D) estimating the terrain interference phase of each subblock respectively; (E) processing the terrain interference phase of each subblock in parallel and estimating the terrain of each subblock; and (F) combining the terrain of each subblock and calculating an integral terrain result. The method and the software introduce the polarization classification technique, divide the data into the land types to form a plurality of simple subblocks for processing, adopt different polarization interference methods according to the difference of the land types contained in the subblocks to estimate the terrain interference phases and then calculate the terrain of each subblock. The method not only lowers the difficulty of estimating the terrain of the complicated areas formed by the land types but also enhances the estimation efficiency of the terrain of this class of areas.

The invention relates to a time and frequency domain mixed identification method of non-cooperative target motion and inertial parameters. Firstly, target pose information is obtained through a visioncamera. According to the invention, on the basis of visual measurement of target pose, translation and rotation in motion course are decoupled, time and frequency domain synchronous identification oftarget states and kinetic parameters is achieved, translation-related parameters are identified by DFT in the frequency domain, kinetic equation of a target floating in a space is linearized in the time domain, and rotation-related parameters are identified by EFIR.

An apparatus, system, and method are disclosed for suspend-resume scheduling in conjunction with an operation requiring a suspend-resume cycle of a computer 200, including updating, for purposes of system configuration management, a non-volatile memory 506, such as an electrically erasable programmable read-only memory (“EEPROM”) 702. A control module 402 sends 806 a request to update the EEPROM 702. A suspend module 404 suspends 818 an operating system 204. A standby module 406 prepares 904 the computer 200 to enter a standby state, estimates 914 a sufficient amount of time to enter the standby state, places 916 the estimate into an alarm register 608, and then enters 918 the standby state. An update module 308 exits 1004 the standby state in response to an alarm signal 612, receives the request if present 1008, writes 1012 the EEPROM 702 with the updated information, and resumes 1018 the operating system 204.

The invention discloses a quantization table evaluation based method for detecting JPEG image tampering, which is characterized by first selecting a plurality of sub-blocks of the images to be detected, respectively evaluating the quantization table of each image sub-block and comparing every two quantization tables, detecting whether the images to be detected are subjected to tampering operation of clipping, then dividing the images to be detected into blocks again and extracting the eigenvector of the quantization table of each image sub-block or the quantization table of each image sub-block according to whether the images to be detected are subjected to clipping, finally classifying the image blocks according to the difference between the eigenvectors of the quantization tables of adjacent image blocks or the quantization tables of adjacent image blocks, and judging whether the images are subjected to synthetic clipping operation and detecting the tampering areas. The method is established based on the quantization table evaluation algorithm with low complexity and high accuracy, can improve the efficiency of detecting tampering of images and can simultaneously detect tampering of the images subjected to clipping and synthesis to further improve the accurate rate of image detection.

Provided is a sheet processing apparatus, including: a stacking unit that is capable of stacking discharged sheets; a drive mechanism that is capable of moving the stacking unit; a storage device that holds data on a moving time of the stacking unit in a rewritable manner; an arithmetic unit that is calculates an estimated value of the moving time of the stacking unit based on the data; and a correcting unit that corrects the data held in the storage device by using an actual measurement value of the moving time of the stacking unit.

The invention relates to an FARIMA model Hurst parameter estimation method based on domain searching. An FARIMA time sequence of the self-similarity long-range dependency characteristic possessed by simulating the actual network flow is used as an estimation source, and a mode of combining a time-variance graph method and a searching method is adopted for carrying out accurate estimation of Hurst parameters. The method specifically comprises the following steps that 1), the FARIMA time sequence of the network flow which can be simulated and has the self-similarity long-range dependency characteristic is generated; 2), an experience section used for roughly estimating a time block of the variance-time graph method of the FARIMA sequence is determined; 3), the variance-time graph method is used for carrying out Hurst parameter estimation of the FARIMA time sequence in the experience section obtained in the step 2); 4), the step size and precision parameters of the search method are determined, and precise search estimation of the Hurst parameters is carried out close to a rough estimation value. Compared with the prior art, the precision of Hurst parameter estimation is greatly improved.

The invention discloses a channel estimation unit and a channel estimation method. The method comprises steps of: processing a sliding mutual correlation operation on the local training sequence and received signal sequence to attain a correlation sequence R(n); attaining the amplitude sequence |R(n)| of the R(n) sequence; dividing each mutual correlation value whose amplitude is higher than an amplitude threshold value T by a factor to attain a channel fading estimated value and a phase bias estimated value corresponding to each path, wherein the factor is the average power of the local training sequence; determining each index of the |R(n)| higher than the amplitude threshold value T, wherein the minimum index is n<1>; reducing each index by n<1> to attain the index value of each path; wherein the amplitude threshold value T has a proportionally relation to the average power of the R(n) sequence. The invention provides a novel channel estimation method, which can realize channel estimation without converting time domain to frequency domain, to simplify the channel estimation, save the resource of FFT devices and shorten the channel estimation time.

A light burst exchange network edge nodal structure includes a control packet, a light packet emit module, a WDM, an adaptive flow assembly module and a bias determining module, among which, the adaptive module is connected with the bias determining module then to join in the control packet emit module to be connected in the WDM to be transferred together with the light packet emit module, a control packet trigger module in the adaptive flow assemble module is connected into AAR(P) filter, I(n-1) and e(n) memory are also connected into the AAR(P) filter as the input, the output of AAR(p) is connected with a packet length determine module, output of which is linked to dynamic BAT decisive module.

Disclosed are a method and apparatus for estimating a Multiple Input Multiple. Output (MIMO) channel. A signal transmission method for estimating the MIMO channel via 2N transmission antennas (N is greater than or equal to “1”) includes generating a code having a predetermined Interference Free Window (IFW), and transmitting the code via two transmission antennas.

The invention provides a battery health state estimation method and device based on on-line alternating current impedance, and solves the problem that a current battery health state estimation methodis only suitable for an off-line state of a battery and is not suitable for dynamic characteristics of the battery. The embodiment of the invention provides a battery health state estimation method and device based on online alternating-current impedance. The method comprises the steps of: measuring the online alternating-current impedance of a battery; converting the online alternating-current impedance into an equivalent element parameter; and obtaining the health state of the battery based on the association relationship between the equivalent element parameters and the health state.

The invention provides a mixed source positioning method based on a convolutional neural network. According to the technical scheme, the method comprises the following steps: firstly, obtaining a mixed source phase difference matrix by utilizing a radar antenna array; then, inputting the information of the mixed source phase difference matrix into a first convolutional neural network, and calculating the direction of arrival of the mixed source; secondly, removing direction-of-arrival parameters contained in the mixed source phase difference matrix information by utilizing output information of a first convolutional neural network, and inputting the direction-of-arrival parameters into an automatic encoder; and finally, inputting the output of the automatic encoder into the second convolutional neural network, identifying the mixed source and determining the distance of the near-field source. The method can achieve the simultaneous positioning of the near-field source and the far-field source, is high in convergence speed during the training of the provided convolutional neural network, is short in time for calculating the positioning parameters during the use, is high in positioning precision, and is strong in generalization capability.