61results about How to "Simplify the estimation process" patented technology

Provided are an apparatus and a method of effectively creating real-time movements of a three dimensional virtual character by use of a small number of sensors. More specifically, the motion capture method, which maps movements of a human body into a skeleton model to generate movements of a three-dimensional (3D) virtual character, includes measuring a distance between a portion of a human body to which a measurement sensor is positioned and a reference position and rotation angles of the portion, and estimating relative rotation angles and position coordinates of each portion of the human body by use of the measured distance and rotation angles.

The invention discloses a method for detecting the initial position of a surface PM synchronous motor. The method for detecting the initial position of the surface PM synchronous motor comprises the steps that on the basis that the initial position is estimated for the first time according to the pulse vibration high-frequency current injection method, an injection signal period is evenly divided into four sections, integration is conducted on the d-axis high-frequency voltage response within the section I and the section III, or integration is conducted on the d-axis high-frequency voltage response within the section II and the section IV, and the positive direction of the d axis is judged according to the symbol of an integral value. According to the method for detecting the initial position of the surface PM synchronous motor, the positive direction of the d axis is judged without the need of extra injection of a positive pulse signal and a negative pulse signal, time for estimation is shortened, and the estimation process is simplified.

The invention discloses a permanent magnet synchronous motor initial position detection method based on high-frequency current signal injection. The method comprises the following step: on the basis of realizing estimation of an initial position by utilizing a fluctuating high frequency current injection method, carrying out d-axis positive direction judgment by extracting d-axis positive direction information included in double injection signal frequency sub-harmonics in d-axis voltage response. According to the method, only high frequency current signals need to be injected in the whole initial position estimation process, and extra signal injection in other forms such as square-wave pulse during the d-axis positive direction judgment process is not needed, so that the estimation time is shortened, and the estimation process is simplified.

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 discloses a method of detecting the initial position of a surface-mounted permanent magnet synchronous motor rotor. On the basis of realizing primary initial position estimation by using a high-frequency voltage injection method, and d-axis positive direction judgment is then carried out through extracting d-axis positive direction information in a direct current component responsive to d-axis current. Extra positive and negative pulse injection and current response amplitude comparison are not needed, the evaluation time is shortened, the evaluation process is simplified, tender moving of the rotor does not happen, and applications are broadened.

The invention discloses equipment, a method and a system for estimating remaining capacity of a battery. The equipment comprises an interface and a processing module. The interface is used for receiving information of a parameter for indicating battery status. The processing module is coupled to the interface and is used for calculating remaining capacity of a battery and capacity ratio, wherein the capacity ratio is the ratio of the calculated remaining capacity to reference capacity of the battery. The processing module is used for comparing a parameter with a reference value so as to generate a first comparison result and is used for comparing the capacity ratio with reference rate so as to generate a second comparison result. The processing module is also used for setting variation according to the first and second comparison results and changing the calculated remaining capacity with the variation. By the equipment, the method and the system for estimating the remaining capacity of the battery, estimation accuracy of the battery's remaining capacity is raised, estimation process of the battery's remaining capacity is simplified, and a lot of time is saved.

An exhaust gas discharged from a combustion chamber of each cylinder flows near an air-fuel ratio sensor via a junction. An ECU estimates an air-fuel ratio of each cylinder based upon a sensing value of an air-fuel ratio sensor. When a variation in the air-fuel ratio among the cylinders is equal to or greater than a predetermined value, the ECU determines that an abnormality exists in the air-fuel ratio. When a quantity of the exhaust gas discharged from each cylinder is less than another predetermined value, an intake air quantity is increased and ignition timing is delayed before the determination of presence or absence of the abnormality.

The invention relates to a digital phase-modulated signal blind carrier phase offset estimation method, which comprises the steps of (1) processing a received radio frequency signal so as to acquire a baseband sample value signal rn containing carrier phase offset theta0; (2) performing a joint power estimation algorithm, carrying out a summation operation on a received signal sample value rn of a power operation, calculating an angle after summation so as to acquire a carrier coarse phase offset estimation value, and carrying out phase compensation on the received signal so as to acquire a compensation signal rn'; (3) carrying out further correction calculation on the phase offset by adopting a WPH algorithm, judging a constellation point Cn which is the closest to the compensation signal {rn'} by using a standard constellation point set {Cm} whose straight-line distance with the compensation signal rn' is the shortest, and measuring a second-moment peak value of a weighted function of a phase histogram so as to acquire a carrier phase offset estimation value; and (4) carrying out phase jumping, providing a phase difference operation, and carrying out differencing on the phase of an ith segment and the phase of a (l-1)th segment and solving an average value. The method is combined with an M-power algorithm, a phase offset initial value is corrected, the phase offset estimation precision is improved, and the calculation complexity is reduced.

A disclosed detector estimates the wireless terminal as being indoors or outdoors by utilizing information that includes measurement report data from previous calls involving both i) wireless terminals that are known to have been indoors and ii) wireless terminals that are known to have been outdoors while the measurement report data was collected. Based on this call data, one or more classification features are computed in accordance with the illustrative embodiment of the present invention. Then, for a wireless terminal that is to be classified during a call and with respect to the terminal being either indoors or outdoors, features that are representative of that wireless terminal for the call are evaluated against a characterization that is a composite of one or more previously-computed classification features. The features that are representative of the wireless terminal can be derived from the measurement reports received from the wireless terminal during the call.

The invention discloses a Smith estimator parameter estimating method based on fuzzy algorithm. The Smith estimator parameter estimating method can be used for estimating Smith estimator parameters in real time and assists a Smith estimator in accurately and quickly improving PID control performance of a time delay system. Proportionality coefficient Kp (t) and delay coefficient t (t) of the Smith estimator is estimated in real time by means of output and input of the delay system, and inertia element coefficient T (t) is estimated in real time by means of fuzzy algorithm. The Smith estimator parameter estimating method has the advantages that Kp (t) and t (t) of the Smith estimator can be estimated effectively in real time, and real-time estimation accuracy is greatly improved. A fuzzy algorithm model of the inertia element coefficient T (t) is constructed, accuracy and adaptability of real-time estimation of T (t) are improved, and interference to the real-time estimation of the inertia element coefficient T (t) from external interference signals is eliminated. By the Smith estimator parameter estimating method, control quality and accuracy of the delay system based on PID control are improved, and instantaneity and stability of PID control are ensured.

The invention provides a device for estimating and compensating sampling clock offset of a handset television terminal, comprising the following modules of an over-sampling interpolation filter module, an FFT / descrambling module, a continuous pilot extraction module, a sampling clock offset estimation module and a sampling clock offset control module, wherein the over-sampling interpolation filter module completes the over-sampling interpolation, filtering and desampling extraction of the input data and adjusts the sampling clock offset according to the final sampling clock offset estimation result; the FFT / descrambling module carries out FFT operation and descrambling treatment; the continuous pilot extraction module extracts continuous pilot sub-carrier data from the descrambled data; the sampling block offset estimation module completes the estimation of the sampling clock offset; and the sampling clock offset control module obtains the final sampling clock offset estimation result according to the provided estimation results and supplies the results to the over-sampling interpolation filter module. Simultaneously, the invention provides a method for estimating and compensating sampling clock offset of a handset television terminal. The device and the method can simplify the treatment and ensure receiving performance.

The invention relates to a non-data aided phase noise blind estimation method for QAM signal, an M-th power algorithm based on improvement is provided, the algorithm can correct the frequency deviation and the phase deviation caused by the phase noise, a power estimation algorithm is adopted without any other data information for the frequency deviation and the phase deviation in the signal, a more precise output information is obtained through gradually correcting the estimation error, the estimation process is simplified, and the computation complexity is greatly reduced; according to the invention, in a condition that has no need to have the help of signal-to-noise ratio and auxiliary data information, the method represents good estimation performance, and a simple and efficient solution is provided for the high-speed wireless optical communication QAM signal phase estimation problem.

The invention discloses a multichannel fusion detection method for distance extension targets under partially uniform environment, and belongs to the field of radar signal processing. According to themethod, a partially uniform multichannel auto-regression signal model is established for the condition of globally uniform auxiliary data missing caused by abnormal value conditions such as clutter edge and the like, so that local uniformity of clutter spaces, time low-order relevancy and multichannel information obtaining ability are sufficiently fused, the utilization rate of clutter prior information is effectively improved and a data model foundation is laid for auxiliary data demand of self-adaptive distance extension target detection; the multichannel fusion detection method for distance extension targets under partially uniform environment is established on the basis of a Rao test criterion, so that the auxiliary data demand is greatly reduced while the characteristic of constant-false alarm rate is ensured; and being compared with the common generalized likelihood ratio criterion method, the method is capable of simplifying the parameter estimation process while remaining thedetection performance unchanged, so that the detector construction efficiency is improved and the method is strong in engineering applicability and has popularization and application values.

In order to solve the problem of reactant concentration control of a chemical reaction system in a process industry, the present invention provides a continuous stirred reactor system control method based on a Hammerstein model. Using the Hammerstein model, a highly precise mathematical model for a continuous stirred reactor system is established; and applying a combined signal source, parametersof each serially connected model are estimated, thus designing a controller with a special structure of the model. The method firstly, according to input-output data of a separable signal, adopts a correlation analysis method to estimate parameters of a dynamic linear module in the model. Secondly, based on the input-output data of a random signal, parameters of a static nonlinear module in the model are estimated through a clustering method and a stochastic gradient method. Finally, using the special structure of the Hammerstein model, the problem of reactant concentration control of the continuous stirred reactor system is converted into a linear system control problem, thereby simplifying design of a control system and achieving a good control effect.

The invention provides a broadband sampling oscilloscope time base error synchronous compensation method and device, and relates to the technical field of broadband sampling oscilloscopes. The broadband sampling oscilloscope time base error synchronous compensation method comprises the steps that a measured signal and two approximately orthogonal reference signals are synchronously triggered, andthe reference signals and the measured signal are simultaneously connected into the broadband sampling oscilloscope and sampled; an error model is constructed based on the two approximately orthogonalreference signals, and a time base error estimation model of the broadband sampling oscilloscope is constructed according to the error model and a orthogonal distance regression mathematical model; atime base error estimation value is calculated according to the time base error estimation model; and a time base error of the measured signal is compensated according to the time base error estimation value. The broadband sampling oscilloscope time base error synchronous compensation method and device can accurately estimate and compensate the time base error, thereby effectively improving the measurement accuracy of the broadband sampling oscilloscope and enabling the measurement results to have less uncertainty.

The invention discloses a visible light communication equalization method based on OFDM, by establishing a decision feedback link between MPSK / MQAM symbol decision and OFDM channel equalization, according to the magnitude of the moving speed of the mobile terminal, the decision result of each subcarrier symbol in the previously received OFDM symbol and the decision result of the received trainingsequence are fed back to the channel estimation process of the current OFDM symbol in a weighted manner, thus, the estimation accuracy and the equalization effect of the time-varying visible light channel are improved. At the same time, when the channel presents the characteristic of periodic change, the estimation result is stored in the database. When the receiver detects the periodic change, the database data are directly called, thereby simplifying the channel estimation process.

The invention provides a parameter identification method based on graph theory and a device. an equation only comprising reactance parameters is established based on the graph theory; constrained conditions of observability of single power grid section parameters are determined; PMU measurement is adopted for parameter estimation for the devices which are equipped with PMU measurement; two-step parameter estimation is executed on the basis of residual error for the devices which are not equipped with PMU measurement. The pre-estimation of parameter values is quick and accurate; by means of the method, effective identification of high voltage loop grid parameters is achieved; suspicious device parameters can be accurately positioned so that the power grid technical data quality is improved and the practical level of electric power system network analysis is increased.

The invention relates to a method and system for estimating inertial parameters of human body parts. The estimation method comprises the following steps: 1. acquiring motion capture data of a unity to be tested; 2. measuring the total mass of the unity to be tested; 3. building a manikin for the unity to be tested; and 4. calculating inertial parameters of human body parts according to the motion capture data, total mass and manikin of the unity to be tested. In the invention, a human body density information base does not need to be used, thus being applicable to any nation, gender and group, such as athletes; motion capture data are given, inertial parameters of human body parts can be directly obtained without complex measurement process or manual operation, thereby simplifying the process of estimating inertial parameters of human body parts; while estimating inertial parameters of human body parts, motion capture data are corrected, thereby optimizing inertial parameters and motion data of human body parts, therefore, the invention can be directly used for human body motion analysis.

The invention discloses a brain multi-tracer-agent metabolism parameter estimation method based on the Logan Plot. The method comprises the steps of (1) collecting and obtaining TAC data of a brain specific region, (2) conducting PCP preprocessing on the collected data, (3) according to one single trace agent, utilizing TAC data of a reference region for replacing blood sampling data directly through the Logan Plot linear fitting method so as to estimate a required DVR value, according to dual tracer agents, separating TAC data of the second kind of tracer agent by the adoption of the sRTM model, and then solving a DVR value corresponding to the second kind of tracer agent through the method of the single tracer agent. According to the brain multi-trace-agent metabolism parameter estimation method based on the Logan Plot, the discomfort caused by traditional blood sampling to a patient can be avoided, accuracy of linear fitting is effectively improved, and estimation accuracy is improved; a dual-tracer-agent physiological metabolism parameter estimation value better than an estimation value obtained through a traditional method can be obtained, so that the result is better applied to actual medical treatment and pharmacological research.

The invention relates to a power grid operation trend estimation method and system. The method comprises the steps: selecting similar sections of a current section from historical sections; estimatinga power grid operation trend by utilizing the characteristic data of the current section and the tide data of the similar section. According to the invention, the power grid operation trend estimation method provided by the invention is strong in convergence performance, high in calculation accuracy and simple in calculation process, and can effectively improve the calculation efficiency of the power grid operation trend.

The invention discloses a multi-time-scale short-circuit resistance estimation method for a series battery pack. According to the method, a multi-time-scale short-circuit resistance estimation conceptis proposed for the first time, the concept comprises a short-time-scale estimation part and a long-time-scale estimation part which are used for obtaining a hard short-circuit resistance value and asoft short-circuit resistance value respectively, and quantitative diagnosis of two types of short-circuit faults of a hard short circuit and a soft short circuit is achieved at the same time. The method specifically comprises the following steps: measuring and acquiring voltage and current measured values of a battery; performing short-time-scale short-circuit resistance estimation, estimating ahard short-circuit resistance value, and converting the hard short-circuit resistance value to long-time scale estimation when a scale conversion condition is met; and performing long-time scale short-circuit resistance estimation, and estimating a soft short-circuit resistance value. Therefore, the real-time diagnosis capability of the battery management system is further improved. According tothe method, only the single battery with the highest voltage and the single battery with the lowest voltage in the series battery pack are selected for analysis, calculation complexity is greatly reduced, practical application is easy, and the method has important significance in battery pack short-circuit resistance estimation and fault diagnosis.

A disclosed detector estimates the wireless terminal as being indoors or outdoors by utilizing information that includes measurement report data from previous calls involving both i) wireless terminals that are known to have been indoors and ii) wireless terminals that are known to have been outdoors while the measurement report data was collected. Based on this call data, one or more classification features are computed in accordance with the illustrative embodiment of the present invention. Then, for a wireless terminal that is to be classified during a call and with respect to the terminal being either indoors or outdoors, features that are representative of that wireless terminal for the call are evaluated against a characterization that is a composite of one or more previously-computed classification features. The features that are representative of the wireless terminal can be derived from the measurement reports received from the wireless terminal during the call.

The invention discloses a d-axis positive direction determination method of a permanent magnet synchronous motor, comprising the steps that firstly a pulsating high frequency current injecting methodis adopted to establish a rotor closed loop system, and the d-axis voltage response is obtained; secondly, the amplitudes of the d-axis voltage response (1) are recorded when the injection current signal phase is pai / 2, 3pai / 2; the value of the two amplitudes are compared, and the d-axis positive direction is determined, and the compensation value of the d-axis positive direction after determination can be obtained. The rotor synchronization rotating coordinates q-axis current can be set as 0, and the d-axis current is injected with a pulsating high frequency sinusoidal signal, and the rotor closed loop system can be established, and the d-axis voltage response of the rotor synchronization rotating coordinates can be extracted. The invention is advantageous in that during the process of determining the d-shaft positive direction, the injected current is always the sine high frequency signal, and signals of other types like positive and negative pulse are not required to be injected, and estimation process can be simplified; motor running cannot be affected; the structure is simple, reliability is high, operation complexity can be reduced, and the process of estimating the initial position can be simplified.

The invention discloses a student score prediction method and device based on a fuzzy cloud cognitive diagnosis model. The method comprises the following steps: establishing a student cognitive cloud model; according to a solving result of the student cognitive cloud model, obtaining a mastery degree interval number of students on knowledge points; according to the mastering degree interval number of the knowledge points, obtaining the mastering degree interval number of the students on test questions; and obtaining a prediction score of the test questions according to a target model parameter obtained by iterative training and the mastering degree interval number of the students on the test questions. According to the fuzzy cloud cognitive diagnosis model, fuzzy interval numbers obtained through student cognitive cloud conversion are used for depicting fuzziness and uncertainty of knowledge point mastering degrees of students, and more comprehensive representation of student cognitive states is achieved; besides, the fuzzy cloud cognitive diagnosis model simplifies model parameters, shortens model execution time, and effectively improves the prediction accuracy and calculation efficiency of student scores in a large-scale online learning scene under the support of the model.

The invention discloses a method for determining a heavy metal emission management and control value based on a critical load. The method is based on a biogeochemical process of heavy metals, and studies the trending processes of the biogeochemical process under different land utilization modes. The method comprises the steps of: firstly, optimizing a traditional critical load model according to aplant absorption type and water environment migration and transformation model; secondly, determining a critical load value based on three environmental effects of current situation balance, a waterenvironment effect and a health risk; thirdly, carrying out critical load drawing and supercritical load drawing; and finally, determining a final heavy metal emission management and control value according to a probability distribution method. Through ingenious design, a spatial refined heavy metal critical load model is further constructed, the degrees and ranges of heavy metal supercritical loads under different environmental effects are recognized, heavy metal emission control values under different land utilization modes and different management targets are determined, and the method canbe applied to pollution source control management.