计算高斯各阶导函数的C程序 Computing Gaussian derivative waveforms of any order. Dgwaveform efficiently creates Gaussian derivative wavelets
标签: efficiently Dgwaveform derivative Computing
上传时间: 2014-01-19
上传用户:cursor
gaussian procession 原程序,用于解决分类问题,有兴趣可以看看啊
标签: procession gaussian 程序 分类
上传时间: 2016-04-12
上传用户:凌云御清风
This programme can generate signals of five different radars which contains noise.
标签: programme different generate contains
上传时间: 2014-01-21
上传用户: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
标签: Semiparametric estimation parameters estimates
上传时间: 2016-04-15
上传用户: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
标签: Semiparametric estimation parameters estimates
上传时间: 2016-04-15
上传用户: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
标签: Semiparametric estimation parameters estimates
上传时间: 2014-12-08
上传用户:一诺88
Demonstrate ricernd, ricepdf, and ricestat, in the context of simulating Rician distributed noise for Magnetic Resonance Imaging magnitude data.
标签: Demonstrate distributed simulating ricestat
上传时间: 2013-12-24
上传用户:水口鸿胜电器
njg1130 GPS LOW NOISE AMPLIFIER GaAs MMIC
上传时间: 2013-12-13
上传用户: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.
标签: architecture COVARTYPE specified Gaussian
上传时间: 2016-04-28
上传用户: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.
标签: generating Generate Gaussian digital
上传时间: 2014-01-15
上传用户:sammi