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estimation

Improved Instantaneous Frequency estimation Using an Adaptive Short-Time Fourier Transform

Improved Instantaneous Frequency estimation Using an Adaptive Short-Time Fourier Transform

標(biāo)簽： Instantaneous estimation Short-Time Frequency

上傳時(shí)間： 2013-12-15

上傳用戶：ardager
ML estimation of frequency, phase, and amplitude of a sinusoid from discrete time samples MLEsim.m

ML estimation of frequency, phase, and amplitude of a sinusoid from discrete time samples MLEsim.m

標(biāo)簽： estimation frequency amplitude discrete

上傳時(shí)間： 2014-12-07

上傳用戶：dianxin61
ML estimation of 2 PFM signals using EM and AM

ML estimation of 2 PFM signals using EM and AM

標(biāo)簽： estimation signals using PFM

上傳時(shí)間： 2016-03-24

上傳用戶：zhenyushaw
3D depth estimation for visual inspection using wavelet transform modulus maxima

3D depth estimation for visual inspection using wavelet transform modulus maxima

標(biāo)簽： estimation inspection transform modulus

上傳時(shí)間： 2016-03-28

上傳用戶：6546544
The implementation of estimation and correction of carrier frequency offset of COFDM system in DAB r

The implementation of estimation and correction of carrier frequency offset of COFDM system in DAB receiver IC ASIC03

標(biāo)簽： implementation estimation correction frequency

上傳時(shí)間： 2013-12-24

上傳用戶：變形金剛
Introduction to estimation and the Kalman Filter (KC-1) Extended Kalman Filter Navigation System Ex

Introduction to estimation and the Kalman Filter (KC-1) Extended Kalman Filter Navigation System Example

標(biāo)簽： Filter Kalman Introduction estimation

上傳時(shí)間： 2016-04-14

上傳用戶：wkchong
sbgcop: Semiparametric Bayesian Gaussian copula estimation This package estimates parameters of a G

sbgcop: Semiparametric Bayesian Gaussian copula estimation This package estimates parameters of a Gaussian copula, treating the univariate marginal distributions as nuisance parameters as described in Hoff(2007). It also provides a semiparametric imputation procedure for missing multivariate data. Version: 0.95 Date: 2007-03-09 Author: Peter Hoff Maintainer: Peter Hoff <hoff at stat.washington.edu> License: GPL Version 2 or later URL: http://www.stat.washington.edu/hoff CRAN checks: sbgcop results Downloads: Package source: sbgcop_0.95.tar.gz MacOS X binary: sbgcop_0.95.tgz Windows binary: sbgcop_0.95.zip Reference manual: sbgcop.pdf

標(biāo)簽： Semiparametric estimation parameters estimates

上傳時(shí)間： 2016-04-15

上傳用戶：talenthn
sbgcop: Semiparametric Bayesian Gaussian copula estimation This package estimates parameters of a G

sbgcop: Semiparametric Bayesian Gaussian copula estimation This package estimates parameters of a Gaussian copula, treating the univariate marginal distributions as nuisance parameters as described in Hoff(2007). It also provides a semiparametric imputation procedure for missing multivariate data. Version: 0.95 Date: 2007-03-09 Author: Peter Hoff Maintainer: Peter Hoff <hoff at stat.washington.edu> License: GPL Version 2 or later URL: http://www.stat.washington.edu/hoff CRAN checks: sbgcop results Downloads: Windows binary: sbgcop_0.95.zip

標(biāo)簽： Semiparametric estimation parameters estimates

上傳時(shí)間： 2016-04-15

上傳用戶：qilin
sbgcop: Semiparametric Bayesian Gaussian copula estimation This package estimates parameters of a G

sbgcop: Semiparametric Bayesian Gaussian copula estimation This package estimates parameters of a Gaussian copula, treating the univariate marginal distributions as nuisance parameters as described in Hoff(2007). It also provides a semiparametric imputation procedure for missing multivariate data. Version: 0.95 Date: 2007-03-09 Author: Peter Hoff Maintainer: Peter Hoff <hoff at stat.washington.edu> License: GPL Version 2 or later URL: http://www.stat.washington.edu/hoff CRAN checks: sbgcop results Downloads: Reference manual: sbgcop.pdf

標(biāo)簽： Semiparametric estimation parameters estimates

上傳時(shí)間： 2014-12-08

上傳用戶：一諾88
Probability distribution functions. estimation - (dir) Probability distribution estimation. dsam

Probability distribution functions. estimation - (dir) Probability distribution estimation. dsamp - Generates samples from discrete distribution. erfc2 - Normal cumulative distribution function. gmmsamp - Generates sample from Gaussian mixture model. gsamp - Generates sample from Gaussian distribution. cmeans - C-means (or K-means) clustering algorithm. mahalan - Computes Mahalanobis distance. pdfgauss - Computes probability for Gaussian distribution. pdfgmm - Computes probability for Gaussian mixture model. sigmoid - Evaluates sigmoid function.

標(biāo)簽： distribution Probability estimation functions

上傳時(shí)間： 2016-04-28

上傳用戶：13188549192

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estimation

Improved Instantaneous Frequency estimation Using an Adaptive Short-Time Fourier Transform

ML estimation of frequency, phase, and amplitude of a sinusoid from discrete time samples MLEsim.m

ML estimation of 2 PFM signals using EM and AM

3D depth estimation for visual inspection using wavelet transform modulus maxima

The implementation of estimation and correction of carrier frequency offset of COFDM system in DAB r

Introduction to estimation and the Kalman Filter (KC-1) Extended Kalman Filter Navigation System Ex

sbgcop: Semiparametric Bayesian Gaussian copula estimation This package estimates parameters of a G

sbgcop: Semiparametric Bayesian Gaussian copula estimation This package estimates parameters of a G

sbgcop: Semiparametric Bayesian Gaussian copula estimation This package estimates parameters of a G

Probability distribution functions. estimation - (dir) Probability distribution estimation. dsam