計(jì)算高斯各階導(dǎo)函數(shù)的C程序 Computing Gaussian derivative waveforms of any order. Dgwaveform efficiently creates Gaussian derivative wavelets
標(biāo)簽： efficiently Dgwaveform derivative Computing
上傳時(shí)間： 2014-01-19
上傳用戶：cursor
gaussian procession 原程序,用于解決分類問題,有興趣可以看看啊
標(biāo)簽： procession gaussian 程序 分類
上傳時(shí)間： 2016-04-12
上傳用戶：凌云御清風(fēng)
This programme can generate signals of five different radars which contains noise.
標(biāo)簽： programme different generate contains
上傳時(shí)間： 2014-01-21
上傳用戶：changeboy
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 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 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
Demonstrate ricernd, ricepdf, and ricestat, in the context of simulating Rician distributed noise for Magnetic Resonance Imaging magnitude data.
標(biāo)簽： Demonstrate distributed simulating ricestat
上傳時(shí)間： 2013-12-24
上傳用戶：水口鴻勝電器
njg1130 GPS LOW NOISE AMPLIFIER GaAs MMIC
標(biāo)簽： AMPLIFIER NOISE 1130 GaAs
上傳時(shí)間： 2013-12-13
上傳用戶：huangld
Creates a Gaussian mixture model with specified architecture.MIX = GMM(DIM, NCENTRES, COVARTYPE) takes the dimension of the space DIM, the number of centres in the mixture model and the type of the mixture model, and returns a data structure MIX.
標(biāo)簽： architecture COVARTYPE specified Gaussian
上傳時(shí)間： 2016-04-28
上傳用戶：dyctj
Generate the digital AWGN signal n[k] (sampled n(t)) by generating zero mean Gaussian random variables independently (separately) for each k MATLAB function random.
標(biāo)簽： generating Generate Gaussian digital
上傳時(shí)間： 2014-01-15
上傳用戶：sammi
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