171 results about "Waveform matching" patented technology

A vertical component is extracted from an acceleration vector corresponding to body movement of a user from a three-axis acceleration sensor, and the vertical-component is separated by a high-band / low-band separating unit into a high-band component and a low-band component. Using these components, a peak detection / determination processing unit detects a peak-position candidate of action of the user in the vertical direction, identifies a peak-position candidate on the basis of an energy ratio between the high-band component and the low-band component, performs waveform matching regarding a predetermined range including each peak-position candidate, thereby determining a peak position, and detects body movement on the basis of the peak position, and a step-position analyzing unit detects a body-movement pitch.

The invention belongs to the technical field of radar transceiver array amplitude phase error correction and discloses a bistatic MIMO radar transceiver array amplitude phase error correction method. The bistatic MIMO radar transceiver array amplitude phase error correction method comprises the following steps that all pulse periodical signals in back wave signals received by a bistatic MIMO radar are Y1...YQ, the transmitted waveform is expressed as S, transmitted waveform matching and column vectorization processing are conducted on the Yi...YQ respectively, eta1... etaQ are obtained, and a matrix X is formed by the eta1...etaQ; according to the four built selection matrixes J1...J4, X1...X4 are obtained; the wave reach direction and the wave departure direction of a target, and the steering vector of a transceiver array of the bistatic MIMO radar are estimated through the rotary subspace invariant algorithm; an amplitude phase error of the transceiver array of the bistatic MIMO radar is obtained.

Microprocessor technology is used to detect routine sounds in a substantially enclosed environment to determine normal or abnormal activity or noise within the environment (i.e., habitual behavior of an individual) A device is situated in a substantially enclosed environment with audio input device similar to a microphone and an optional visual display for interaction with the local users. The device has the ability to be controlled locally via key-pad or USB port connected to a local laptop computer, or remotely via a phone line or Ethernet connection to internet. The device further performs audio pattern recognition using waveform matching scheme to detect the occurrence of pre-programmed sounds representing routine activities. The microprocessor counts the number occurrence of each recognizable sound for a particular interval and over a length of a day or other duration and reports to a remote server. The remote server performs tracking and trending analysis to a web-based caregiver client. Significant changes are detected and reported to caregiver or family web-based client.

The invention relates to the field of indoor geomagnetic navigation, and discloses a mobile phone-based indoor geomagnetic navigation method and an apparatus thereof. The method comprises the following steps: obtaining the real-time geomagnetic value, the traveling direction and the traveling distance, carrying out waveform matching on the real-time geomagnetic value in a sectional manner in geomagnetic data consistent with the traveling direction according to the traveling direction and the traveling distance in order to realize geomagnetic positioning, and calculating a path calculating object according to the position and destination of the geomagnetic positioning to determine a navigation path. The method and the apparatus improve the accuracy of the geomagnetic positioning, and improve the precision of geomagnetic navigation.

The invention discloses a voltage sag reason recognition method based on typical voltage sag waveform matching, and the method comprises the following steps: (A), collecting a historical monitoring waveform of a typical voltage sag historical event; (B), building a typical voltage sag event waveform library; (C), extracting a to-be-extracted voltage sag waveform; (D), carrying out the waveform matching and analysis of the wave band of the to-be-extracted voltage sag waveform and the typical voltage sag event waveform library; (E), recognizing the generation reason of a current voltage sag event waveform. The method carries out the more fundamental and accurate matching analysis of the voltage sag at the aspect of waveform, can quickly and accurately recognize the generation reason of the voltage sag event waveform, has a very high reference value for the prevention and treatment of the voltage sag, and is good in application prospect.

The invention discloses a distribution method based on waveform matching for harmonic voltage responsibility. The distribution method comprises the steps of: step 10) acquiring harmonic test data, and forming a harmonic data sequence; step 20) setting basic matching parameters; step 30) calculating an Euclidean distance, wherein normalization processing is performed on the harmonic data sequence which is formed in the step 10) according to a sequence of subsequences based on the basic matching parameters set in the step 20) to obtain harmonic sample data, and the Euclidean distance between a harmonic voltage and a harmonic current in the harmonic sample data is calculated; step 40) screening the subsequences, wherein similarity of each subsequence is calculated, and the subsequence with the similarity not less than a set value is screened out; step 50) and distributing harmonic responsibility, wherein system-side equivalent harmonic impedances of the screened subsequences is estimated by adopting a least square method, and a mean value of the equivalent harmonic impedances is utilized for calculating the harmonic voltage responsibility. The distribution method can quantify harmonic pollution liability of a feeder by utilizing harmonic amplitude data, and is suitable for engineering practice.

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 provides a method for calculating a time difference between an incident wave and a reflected wave in traveling wave method positioning. The method comprises the steps of: generating a pattern of sampling points from characteristic parameters for positioning; setting a waveform corresponding to a wave crest in the pattern as an incident pulse, and then searching for a waveform matching with the incident pulse in the pattern; and calculating the time difference between the incident wave and the reflected wave according to the matched waveform and the incident pulse. Furthermore, the invention provides a device for calculating the time difference between the incident wave and the reflected wave in the traveling wave method positioning. By means of the technology provided by the invention, the time difference which exists between the incident wave and the reflected wave and is needed in single-ended traveling wave method positioning is calculated; the result of a parameter value of the obtained time difference is more accurate; automatic calculation is realized in the entire process, and the incident wave and the reflected wave are unnecessary to calibrate by a tester depending on experience and intuition, so that a worker can judge conveniently; the economic loss caused by human errors is avoided; and the cost of manpower consumption is lowered.

The invention discloses a laser methane concentration measuring method based on double-spectrum absorption line and waveform matching. A semiconductor laser performs wavelength linear scanning and covering on two specified absorption lines, laser passing through a gas to be measured is subjected to processing such as narrow-band band-pass filtering and high-speed acquisition by a receiving circuit and then subjected to waveform matching with a reference absorption line, various noises and interference removal and an actual absorption line retaining, and finally, real-time inversion of the concentration of the gas to be measured is carried out by adopting a double-spectrum absorption line concentration inversion algorithm. The laser methane concentration measuring method disclosed by the invention solves the contradiction widely existing in the conventional application of a laser absorption spectrum technology in gas concentration measurement that measurement range and minimum detection limit are difficult to consider, expands the concentration measurement range while ensuring the minimum detection limit of laser methane concentration measurement, solves the problem of concentration misinformation of a measuring system caused by optical and electrical interference, and ensures the measurement accuracy.

The invention discloses a quartz wafer grinding on-line frequency measurement method based on a waveform matching method. By adopting the method, the frequency from 5M to 70MHZ can be stably measured in real time in a quartz wafer grinding process. According to the invention, various states in the wafer grinding and production process are displayed and suggestions are provided, the grinding state of quartz wafers are monitored in real time in the on-line frequency measurement process, if abnormal conditions occurs, a grinding machine is stopped in real time, an over-frequency event is prevented, and a user can effectively improved the production efficiency according to the states displayed on a touch screen; a frequency hopping constraint strategy is used to thoroughly solve the problem of an ALC system that frequency measurement values hop in some frequency bands; in addition, diversified statistic parameters such as a wafer grinding real-time average frequency, a grinding speed and a scattering difference are provided, scientific bases are provided for grinding sand replacing and grinding disk maintenance, and the defect that the ALC system fails to monitor the state of the grinding machine is overcome.

The invention discloses a double-fed aerogenerator stator / rotor fault analysis diagnosis method. The method comprises the following steps: performing waveform matching on sampled six-path current signals by use of an improved HTT algorithm, and according to a matching result, carrying out adaptive end point extension; obtaining a limited number of intrinsic mode functions (IMFs) by performing empirical mode decomposition on the signals after the extension; eliminating obtained false IMFs by use of an energy conservation method; and according true IMFs obtained after the false IMFs are eliminated, determining a feature frequency of original signals, and through detecting the feature frequency, determining a fault type of a double-fed aerogenerator stator / rotor and severity. According to the invention, through the improved HTT algorithm, the adaptive capability of the algorithm is greatly improved, stator / rotor fault signals of a motor are effectively extracted, and convenience is provided for onsite detection of a double-fed aerogenerator stator / rotor fault.

Microprocessor technology is used to detect routine sounds in a substantially enclosed environment to determine normal or abnormal activity or noise within the environment (i.e., habitual behavior of an individual) A device is situated in a substantially enclosed environment with audio input device similar to a microphone and an optional visual display for interaction with the local users. The device has the ability to be controlled locally via key-pad or USB port connected to a local laptop computer, or remotely via a phone line or Ethernet connection to internet. The device further performs audio pattern recognition using waveform matching scheme to detect the occurrence of pre-programmed sounds representing routine activities. The microprocessor counts the number occurrence of each recognizable sound for a particular interval and over a length of a day or other duration and reports to a remote server. The remote server performs tracking and trending analysis to a web-based caregiver client. Significant changes are detected and reported to caregiver or family web-based client.

The invention discloses a lithologic oil-gas reservoir weak-reflection seismic signal reconstruction method. According to the method, intrinsic mode components are obtained through carrying out wavelet denoising and waveform matching endpoint continuation processing on an original seismic signal respectively and decomposing the original seismic signal by adopting empirical mode decomposition, the effective intrinsic mode components are selected in a self-adaptive mode for Hilbert transformation by adopting correlation, an obtained instantaneous amplitude is subjected to self-adaptive spectral whitening processing, and the instantaneous amplitude after spectral whitening and an instantaneous phase obtained through Hilbert transformation are used for reconstructing a signal to obtain a reconstructed seismic signal with low noise and high energy. Compared with the original seismic signal, the reconstructed seismic signal increases the signal-to-noise ratio and the resolution ratio of seismic sections, and is more convenient to detect and identify.

The invention discloses an electric energy subentry metering method and device based on stable characteristic waveform matching. The method comprises the steps of: collecting stable characteristic waveforms of household loads, carrying out load identification based on the similarity with a load standard characteristic waveform in a database, calculating the electric energy consumed by each kind of load according to the power variation of the loads and the switching moments of the loads, and carrying out subentry metering of the household loads. The device comprises a signal collection module, a data processing module, a data storage module, a display module and a communication module. The device is capable of collecting, storing and analyzing electric signals in real time and forming electric energy subentry metering reports for users to carry out querying. The electric energy subentry metering reports are uploaded to a cloud end power grid company for reference. The power consumption is low, the cost is low, installation is easy, detailed data is provided to the user for understanding the electric consumption condition, and the device can also be used as one terminal device in a power grid electric energy measurement system so as to provide reference to the power grid company for understanding the data such as the load structure.

The invention discloses a multi-loop oscillation extracting and detecting method of industrial process. The method comprises the following steps that in control loops to be detected, process output signals of all the control loops to be detected are collected in advance; a spectrum related waveform matching method is used to continue end points of the output signals of the loops; improved multi-dimensional empirical mode decomposition is carried out on process output data after end-point continuation; a regularity index of a zero crossing point of each decomposed sub-signal is calculated; whether each regularity index exceeds a set threshold is determined, and whether an oscillation behavior exists in two or more decomposed sub-signals of the same layer is determined; and a detection result is obtained according to all determination results. The method of the invention can be used to detect the oscillation behavior of multiple loops in the industrial process quantitatively, regularity degrees and periods of oscillation components are obtained simultaneously, and abundant data support is provided for oscillation behavior evaluation and fault source diagnosis.

The present invention discloses a method of improving the coded speech quality in low bit rate analysis-by-synthesis (AbS) speech coders. This is accomplished by relaxing the waveform matching constraints for non-stationary plosive speech segments of speech signals by suitably shifting pulse locations of the coded excitation signal. The shifting results in the coded signal having phase information that does not exactly match original signal in places where it is perceptually insignificant to the listener. Furthermore, a technique for adaptive phase dispersion is introduced to the coded excitation signal to efficiently preserve important signal characteristics such as the energy spread of the original signal.

The invention provides a deposition method adopting combination of arc ion plating and high power pulsed magnetron sputtering, belongs to the technical field of material surface treatment, and aims to solve the problems of large particles caused by the fact that low-melting-point pure metal or a multi-element alloy material and a non-metal material, especially a semiconducting material and an insulating material, are taken as target materials to be applied in a traditional arc ion plating method, limitation of use extension of arc ion plating target materials, low ionization rate and low thin film deposition efficiency of a traditional magnetron sputtering technology as well as unstable discharging of conventional high power pulsed magnetron sputtering. The method comprises steps as follows: step one, a to-be-coated workpiece is placed on a sample table in a vacuum chamber, a related power supply is switched on; step two, thin film deposition is performed and comprises steps as follows: when the vacuum degree in the vacuum chamber is lower than 10<-2> Pa, working gas is introduced, gas pressure is adjusted, the related power supply is switched on, after the target surface is cleaned, a synchronous waveform matching device is adopted to adjust waveforms output by a grid bias power supply and a high power pulsed magnetron sputtering power supply, required technological parameters are set, and thin film deposition is performed.

The invention provides a method for improving the incoherent detection performance of MSK (minimum shift keying) signals, and aims at providing the method solving the problem of MSK signal application limitation caused by poorer incoherent detection performance and realization difficulty of coherent detection of the MSK signals. The method provided by the invention is realized through the following technical scheme that in an MSK data transmission receiving machine, a signal capture module stores baseband signals after the down-conversion into a memory, then, a high-speed clock is used for reading out the stored signals from the memory, next, the read signals are subjected to frequency offset compensation and bit synchronization searching according to the pre-divided frequency grooves, and the searching results are sent to a signal tracking module; the signal tracking module realizes the frequency and bit synchronization tracking through a frame head waveform matching correlator according to the capture results sent from the signal capture module; and a correlation judging module carries out correlation calculation on the signals sent by the signal tracking module with the local waveforms, selects the maximum correlation value from the correlation results and adopts the bit of the maximum correlation value corresponding to the middlemost part of the bit flow as the final judgment results to be output.

A method of elevation control points extraction assisted by satellite laser altimeter data, which is characterized in that take the waveforms received by satellite and the waveforms simulated from digital surface model (DSM) of image scene reconstruction as input data, and includes two times of waveform matching and combined process of multi-source remote sensing data. The elevation control points could be extracted without the influence of terrain fluctuation or urban buildings for the terrain information of laser spot area has been taken into account. The first time is realized by matching two groups of waveforms from the received and the simulated, and the spatial registrations between locations of laser spots and DSM are realized. The second time is realized by matching two single waveforms from the received and the simulated, and local system errors in DSM of laser spot area could be extracted. With the registration results and local system errors, many applications including extraction of elevation control points could be easily developed. The invention mainly includes the following steps: (1) Preliminary refinement of orientation parameters of high-resolution stereo or InSAR images by free net adjustment; (2) DSM reconstruction with high-resolution stereo images or InSAR data; (3) dividing the received laser altimetry data into groups; (4) Waveform extraction of the receiving group; (5) observation design for simulation waveform group; (6) simulation waveform acquisition through observation of DSM; (7) matching the received group waveforms with the simulated group waveforms; (8) plane position registration between laser spot and DSM; (9) matching each pair of waveforms in group between the received and the simulated respectively; (10) extraction of DSM elevation system errors on each laser spot area; (11) extraction of image elevation control points; (12) refinement of DSM elevation, calibration of satellite laser altimeter sensor, combined processing with laser altimetry and image remote sensing. The invention mainly solves two difficulties. One difficulty is finding footprints, or say laser spot areas, of satellite laser altimeters on stereoscopic images, InSAR images and the DSM they generate. Another difficulty is the accurate elevation extraction of laser spot areas with uneven terrain. The invention can realize the spatial registration between laser spot and DSM or remote sensing in different terrain and establish spatial connection between laser altimetry data and stereo images or InSAR data. In different terrain conditions, by the invention, the satellite laser altimetry data can be used for high-precision elevation control of 3D reconstruction / positioning of stereo images or InSAR data.

The invention discloses a quartz wafer grinding control method based on a waveform matching method, and the frequency from 5 M to 70 MHZ can be stably measured in real time in a quartz wafer grinding process. According to the system, all states in the wafer grinding production process can be displayed, suggestions can be given, and the quartz wafer grinding state can be monitored in real time in an online frequency measuring process; when abnormal situations occur, a grinding machine is shut down in real time, so that overclocking events are prevented, and the production efficiency of a user can be effectively improved according to the states displayed on a touch screen; a frequency hopping constraint strategy is added, so that the problem that frequency measuring values of an ALC system hop at certain frequency bands is completely solved; diverse statistical parameters such as real-time average frequency, grinding speed, scattering difference and the like are provided in the wafer grinding process, a scientific basis is provided for replacing grinding sand and maintaining the surface of a grinding disc, and the defect that the state of the grinding machine cannot be monitored by the ALC system is overcome.

A method for robust speech classification in speech coding and, in particular, for robust classification in the presence of background noise is herein provided. A noise-free set of parameters is derived, thereby reducing the adverse effects of background noise on the classification process. The speech signal is identified as speech or non-speech. A set of basic parameters is derived for the speech frame, then the noise component of the parameters is estimated and removed. If the frame is non-speech, the noise estimations are updated. All the parameters are then compared against a predetermined set of thresholds. Because the background noise has been removed from the parameters, the set of thresholds is largely unaffected by any changes in the noise. The frame is classified into any number of classes, thereby emphasizing the perceptually important features by performing perceptual matching rather than waveform matching.

The invention discloses a weld joint deviation identification method, based on waveform matching, of rotating arc narrow gap gas shield welding. The method comprises the steps of firstly creating waveform function templates of welding eclectic signals or relevant parameters corresponding to different weld joint deviations in a simulation modeling mode or an experimental modeling mode, then adopting an arc electric signal sensor, an arc position sensor, a data acquisition card and the like to collect welding experimental data in an on-line predication mode, extracting arc electric signals during each arc rotating period through a data preprocessing module, matching the arc electric signals with the waveform function templates under different weld deviations obtained during modeling, selecting the weld joint deviation corresponding the most matched template as the welding joint deviation during the current arc rotating period, synthetically considering history values of a plurality of arc rotating periods, so as to overcome the influence of accidental factors, and counting for output. By adopting the method, the capacity of resisting disturbance of the arc sensor can be further improved, and simultaneously overall features of welding current sampled signals are fully considered, so that the deviation extraction result is more reliable.

The invention provides a time synchronization method and system based on waveform matching. According to the method and system, based on the correlation principle, accurate time information is synchronized for a set of data not containing time scales or containing wrong time scales by utilizing a set of data containing reference time. The method comprises the steps that firstly, the data to be matched are segmented, correlation solution is performed on all segments and different sub-segments of reference data, when the correlation coefficient is maximum, the time difference between the segment of data and the reference data is calculated, and therefore time difference sequences of all the segments are obtained; secondly, the time difference sequences serve as observed values, time differences and time-scale drift factors serve as parameters to be estimated, and least square adjustment is performed to figure out the parameters to be estimated; finally, accurate time is synchronized for the data to be matched through the time differences and the time-scale drift factors. The time synchronization method and system can be widely applied to time synchronization during multi-sensor data fusion and can be further applied to correctness detection for time synchronization based on other methods.

The present application provides a splicing method and a device of post-stack seismic data. The method comprises a step of establishing a new coordinate system according to the boundary seismic channel coordinate of seismic data to be spliced and determining a common middle point spacing and a common middle point line spacing after splicing according to the common middle point spacing and common middle point line of the seismic data to be spliced, a step of carrying out encrypted interpolation processing on the seismic data to be spliced in the new coordinate system to form first spliced seismic data, a step of carrying out re-gridding process to form second spliced earthquake data, a step of adjusting the second spliced earthquake data to a same reference plane, and then carrying out amplitude equalization and carrying out waveform matching process to obtain third spliced seismic data, and a step of carrying out boundary cutting on the third spliced seismic data and then carrying out splicing combination to form spliced seismic data. By using the embodiment of the invention, the difference of different splicing block seismic data can be eliminated, a small angle splicing problem between blocks is solved, and the splicing effect of post-stack data is improved.

The invention discloses a waveform matching-based on-orbit pointing calibration method of spaceborne laser. The method includes the following steps: carrying out echo waveform simulation of a spaceborne laser altimeter on the basis of airborne lidar (Light Detection And Ranging) data; matching a real waveform according to an obtained simulation waveform, and determining foot point centroid coordinates of the spaceborne laser according to a method of matching the real waveform by the simulation waveform; and calibrating a pointing angle of the spaceborne laser according to a geometric calibration model of the spaceborne laser altimeter and the foot point centroid coordinates of the laser. According to the calibration method, the simulation waveform is adopted to match the real waveform, thus a foot point centroid position of the laser is quickly determined, and the purpose of on-orbit pointing calibration of the spaceborne laser altimeter is achieved. By using the calibration method, ground detectors are no longer relied on, only the existing airborne lidar data need to be used, and field operation cost can be greatly reduced.

The invention provides an aorta pulse wave conduction time acquiring method based on the waveform matching method. The aorta pulse wave conduction time acquiring method comprises the following steps: carotid pulse wave and femoral artery pulse wave are collected; the brachial artery blood pressure value is utilized to mark the carotid pulse wave and the femoral artery pulse wave, so that the carotid pressure waveform and the femoral artery pressure waveform are acquired; a specific section of the carotid pressure waveform and the femoral artery pressure waveform are selected and are subjected to normalization treatment, so that two sections of waveforms to be matched are acquired; the waveform matching method is utilized to analyze the two sections of waveforms to be matched, and the aorta pulse wave conduction time aoPTT is calculated. Compared with the conventional 'foot-to-foot' method, the aorta pulse wave conduction time acquiring method, provided by the invention, is based on a specific section of the waveform, rather than a single characteristic point, to calculate the aoPTT, so that the accuracy and anti jamming capacity of aoPWV measurement of aorta pulse wave rate are improved, and wider application prospect is obtained.

The invention provides a power load identification method and system based on machine learning. Actually measured electrical parameter data including current, voltage, power and the like are taken asthe basis; basic electrical parameter data are unified in format, and on the basis of extracting, collecting, analyzing, concluding and training power load characteristics for a long time, the types of electrical appliances in use can be correctly identified under the condition that the overall basic electrical parameter data of a plurality of electrical loads in a period of time are known to include voltage, current, active power, reactive power and the like. Therefore, according to the machine learning model training method and system for power load identification provided by the invention,manual parameter adjustment is not needed; compared with traditional methods such as time domain waveform matching, feature point matching and spectral analysis, the method is high in matching accuracy, the feature parameters required for recognizing the power load can be learned autonomously and obtained automatically, and therefore the application range of the model is widened, and the accuracyof power load recognition is improved.

A method for robust speech classification in speech coding and, in particular, for robust classification in the presence of background noise is herein provided. A noise-free set of parameters derived, thereby reducing the adverse effects of background noise on the classification process. The speech signal is identified as speech or non-speech. A set of basic parameters is derived for the speech frame, then the noise component of the parameters is estimated and removed. If the frame is non-speech, the noise estimations are updated. All the parameters are then compared against a predetermined set of thresholds. Because the background noise has been removed from the parameters, the set of thresholds is largely unaffected by any changes in the noise. The frame is classified into any number of classes, thereby emphasizing the perceptually important features by performing perceptual matching rather than waveform matching.