粒子濾波的基本程序及粒子濾波原始論文Novel approach to nonlinear_non-Gaussian Bayesian state estimation
標(biāo)簽： nonlinear_non-Gaussian estimation Bayesian approach
上傳時(shí)間： 2016-12-07
上傳用戶：lyy1234
This a Bayesian ICA algorithm for the linear instantaneous mixing model with additive Gaussian noise [1]. The inference problem is solved by ML-II, i.e. the sources are found by integration over the source posterior and the noise covariance and mixing matrix are found by maximization of the marginal likelihood [1]. The sufficient statistics are estimated by either variational mean field theory with the linear response correction or by adaptive TAP mean field theory [2,3]. The mean field equations are solved by a belief propagation method [4] or sequential iteration. The computational complexity is N M^3, where N is the number of time samples and M the number of sources.
標(biāo)簽： instantaneous algorithm Bayesian Gaussian
上傳時(shí)間： 2013-12-19
上傳用戶：jjj0202
Performance of Ultra Wideband correlator receiver using Gaussian monocycles
標(biāo)簽： Performance correlator monocycles Gaussian
上傳時(shí)間： 2015-04-12
上傳用戶：zyt
This m-file displays the time waveform for the Gaussian pulse function and the first and second derivatives of the Gaussian pulse function for a 0.5 nanosecond pulse width. Other values of pulse widths may be used by changing fs,t,t1. The program uses the actual first and second derivative equations for the Gaussian pulse waveforms. The first derivative is considered to be the monocycle or monopulse as discussed in most papers. The second derivative is the waveform generated from a dipole antenna used in a UWB system. Other information is contained in the file.
標(biāo)簽： the and Gaussian displays
上傳時(shí)間： 2015-05-08
上傳用戶：leixinzhuo
gauss.c - gaussian random numbers, using the Ziggurat method
標(biāo)簽： Ziggurat gaussian numbers random
上傳時(shí)間： 2013-12-06
上傳用戶：wyc199288
Random Number Generators（隨機(jī)數(shù)生成）包括gaussian random number generator、uniform random number generator、low-frequency hold generator、1/f noise generator等5種隨機(jī)信號(hào)生成的c源代碼
標(biāo)簽： generator random number Generators
上傳時(shí)間： 2014-12-07
上傳用戶：edisonfather
bayes分類器 Bayes classifier for Gaussian distributiuon 直接可以解壓縮
標(biāo)簽： distributiuon classifier Gaussian bayes
上傳時(shí)間： 2014-01-21
上傳用戶：笨小孩
This program simulates Gaussian beam propagation through a Fabry-Perot interferometer ％with adjustable error angles.
標(biāo)簽： interferometer Fabry-Perot propagation simulates
上傳時(shí)間： 2013-12-12
上傳用戶：ecooo
Gauss_generator利用參數(shù)（多普勒頻移、系數(shù)、相移）生成確定的實(shí)高斯過(guò)程.m gaussian確定離散多普勒頻移、系數(shù)、相移的程序.m Rice_generator在瑞利過(guò)程的基礎(chǔ)上考慮視距分量，生成萊斯過(guò)程.m Suzuki_generator成確定型Suzuki過(guò)程.m Rayleigh_Doppler_multiPath.m Rayleigh_Doppler_singlePath.m rayleigh_Filter_Model.m pdf_cdf_gen.m test_rayleigh_pdf.m rayleigh.m
標(biāo)簽： Gauss_generator Rice_generator gaussian 多普勒頻移
上傳時(shí)間： 2015-07-12
上傳用戶：hullow
PF and RBPF for conditionally Gaussian JMLS.
標(biāo)簽： conditionally Gaussian JMLS RBPF
上傳時(shí)間： 2014-12-02
上傳用戶：asdkin
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