對(duì)比卡爾曼濾波和維納濾波對(duì)一階GAUSSIAN-markov過(guò)程的濾波預(yù)測(cè)。
標(biāo)簽： GAUSSIAN-markov 對(duì)比 卡爾曼濾波 維納濾波
上傳時(shí)間： 2014-01-15
上傳用戶(hù)：luke5347
Markov 過(guò)程
上傳時(shí)間： 2013-12-24
上傳用戶(hù)：410805624
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(hù)：jjj0202
用Matlab實(shí)現(xiàn)的隱蔽馬爾可夫模型（Hidden Markov Model:HMM)
標(biāo)簽： Matlab Hidden Markov Model
上傳時(shí)間： 2015-04-09
上傳用戶(hù)：1101055045
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(hù)：zyt
Hidden Markov Model.簡(jiǎn)單明了，適合初學(xué)者閱讀掌握．
上傳時(shí)間： 2014-06-07
上傳用戶(hù)：璇珠官人
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(hù)：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(hù)：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(hù)：edisonfather
Hidden Markov Toolkit (HTK) 3.2.1 HTK is a toolkit for use in research into automatic speech recognition and has been developed by the Speech Vision Robotics Group at the Cambridge University Engineering Department (http://svr-www.eng.cam.ac.uk) and Entropic Ltd (http://www.entropic.com).
標(biāo)簽： HTK automatic research Toolkit
上傳時(shí)間： 2015-05-26
上傳用戶(hù)：myworkpost
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