relevant dimensionality Estimate toolbox
標(biāo)簽： dimensionality relevant Estimate toolbox
上傳時(shí)間： 2013-12-10
上傳用戶：英雄
TMS320_ADPCMNON(ASM).RAR SIGNAL Estimate FROM PREVIOUS SAMPLES DATA -- * THEN COMPUTE DIFFERENCE SIGNAL
標(biāo)簽： ADPCMNON Estimate DIFFEREN PREVIOUS
上傳時(shí)間： 2017-03-01
上傳用戶：2404
RANSAC (RANdom SAmple Consensus) is an iterative method to Estimate parameters of a mathematical model from a set of observed data which contains outliers. Source code is in Document
標(biāo)簽： mathematical parameters Consensus iterative
上傳時(shí)間： 2017-09-09
上傳用戶：a6697238
Features a unique program to Estimate the power spectral density. The spectrum containing all significant details is calculated from a time series model. Model type as well as model order are determined automatically from the data, using statistical criteria. Robust estimation algorithms and order selection criteria are used to obtain reliable results. Unlike in FFT analysis, where the experimenter has to set the amount of smoothing of the raw FFT, the right level of detail is assessed using the data only.
標(biāo)簽： containing Features Estimate spectral
上傳時(shí)間： 2014-02-09
上傳用戶：daguda
Many thermal metrics exist for integrated circuit (IC) packages ranging from θja to Ψjt.Often, these thermal metrics are misapplied by customers who try to use them to Estimate junction temperatures in their systems.
上傳時(shí)間： 2013-10-18
上傳用戶：貓愛薛定諤
為了提高直接轉(zhuǎn)矩控制（DTC）系統(tǒng)定子磁鏈估計(jì)精度，降低電流、電壓測量的隨機(jī)誤差，提出了一種基于擴(kuò)展卡爾曼濾波（EKF）實(shí)現(xiàn)異步電機(jī)轉(zhuǎn)子位置和速度估計(jì)的方法。擴(kuò)展卡爾曼濾波器是建立在基于旋轉(zhuǎn)坐標(biāo)系下由定子電流、電壓、轉(zhuǎn)子轉(zhuǎn)速和其它電機(jī)參量所構(gòu)成的電機(jī)模型上，將定子電流、定子磁鏈、轉(zhuǎn)速和轉(zhuǎn)子角位置作為狀態(tài)變量，定子電壓為輸入變量，定子電流為輸出變量，通過對磁鏈和轉(zhuǎn)速的閉環(huán)控制提高定子磁鏈的估計(jì)精度，實(shí)現(xiàn)了異步電機(jī)的無速度傳感器直接轉(zhuǎn)矩控制策略，仿真結(jié)果驗(yàn)證了該方法的可行性,提高了直接轉(zhuǎn)矩的控制性能。 Abstract: In order to improve the Direct Torque Control（DTC） system of stator flux estimation accuracy and reduce the current， voltage measurement of random error， a novel method to Estimate the speed and rotor position of asynchronous motor based on extended Kalman filter was introduced. EKF was based on d-p axis motor and other motor parameters （state vector: stator current， stator flux linkage， rotor angular speed and position； input: stator voltage； output: staror current). EKF was designed for stator flux and rotor speed estimation in close-loop control. It can improve the Estimated accuracy of stator flux. It is possible to Estimate the speed and rotor position and implement asynchronous motor drives without position and speed sensors. The simulation results show it is efficient and improves the control performance.
標(biāo)簽： EKF 異步電機(jī) 直接轉(zhuǎn)矩 控制系統(tǒng)
上傳時(shí)間： 2015-01-02
上傳用戶：qingdou
ICA is used to classify text in extension to the latent semantic indexing framework. ICA show to align the context grouping structure well in a human sense [1], thus can be used for unsupervised classification. The demonstration shows this on medical abstracts (MED dataset), that uses BIC to Estimate the number of classes and produces keywords for each class. The icaML algorithm is used.
標(biāo)簽： ICA extension framework classify
上傳時(shí)間： 2013-12-22
上傳用戶：himbly
this demo is to show you how to implement a generic SIR (a.k.a. particle, bootstrap, Monte Carlo) filter to Estimate the hidden states of a nonlinear, non-Gaussian state space model.
標(biāo)簽： a.k.a. bootstrap implement particle
上傳時(shí)間： 2014-11-10
上傳用戶：caozhizhi
The subroutines glkern.f and lokern.f use an efficient and fast algorithm for automatically adaptive nonparametric regression estimation with a kernel method. Roughly speaking, the method performs a local averaging of the observations when estimating the regression function. Analogously, one can Estimate derivatives of small order of the regression function.
標(biāo)簽： automatically subroutines and algorithm
上傳時(shí)間： 2015-11-25
上傳用戶：luke5347
Apply the standard QR-decomposition based LSL algorithm using angle-normalized error to predict/Estimate complex-valued processes.
標(biāo)簽： QR-decomposition angle-normalized algorithm standard
上傳時(shí)間： 2015-12-27
上傳用戶：cc1
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