RMSD: Root Mean Square Deviation 是一種在分子模擬及預(yù)測(cè)中很常見的評(píng)價(jià)標(biāo)準(zhǔn)，通過Jacobi變換來的到一個(gè)大分子和目標(biāo)分子的相似程度。常用來評(píng)價(jià)一個(gè)三維結(jié)構(gòu)的預(yù)測(cè)結(jié)果是否足夠準(zhǔn)確.作者主頁http://dillgroup.ucsf.edu/~bosco/ 壓縮包里的html里還包括有Python代碼
標(biāo)簽： Deviation Square RMSD Mean
上傳時(shí)間： 2015-08-12
上傳用戶：wyc199288
This program simulates plant identification least mean square (NLMS) alogrithm reference: 《LMS算法的頻域快速實(shí)現(xiàn)》
標(biāo)簽： identification alogrithm simulates reference
上傳時(shí)間： 2013-12-17
上傳用戶：kristycreasy
This program simulates plant identification using frequency block least mean square (FBLMS) alogrithm reference: 《LMS算法的頻域快速實(shí)現(xiàn)》 LMS is modified by XXX in XXX place, see details in XXX relevant document
標(biāo)簽： identification frequency simulates alogrith
上傳時(shí)間： 2016-02-29
上傳用戶：kytqcool
In this project we analyze and design the minimum Mean-square error (MMSE) multiuser receiver for uniformly quantized synchronous code division multiple access (CDMA) signals in additive white Gaussian noise (AWGN) channels.This project is mainly based on the representation of uniform quantizer by gain plus additive noise model. Based on this model, we derive the weight vector and the output signal-to-interference ratio (SIR) of the MMSE receiver. The effects of quantization on the MMSE receiver performance is characterized in a single parameter named 鈥漞quivalent noise variance鈥? The optimal quantizer stepsize which maximizes the MMSE receiver output SNR is also determined.
標(biāo)簽： Mean-square multiuser receiver project
上傳時(shí)間： 2014-11-21
上傳用戶：ywqaxiwang
this is a code for adaptive interfrence cancellation on a certain signal using the least mean square algorithm LMS using matlab.
標(biāo)簽： cancellation interfrence adaptive certain
上傳時(shí)間： 2017-04-04
上傳用戶：GavinNeko
采用一種快速收斂變步長(zhǎng)LMS（Least mean square ） 自適應(yīng)最小均方算法matlab源程序，其中算法所做的工作是用FIR 濾波器的預(yù)測(cè)系統(tǒng)，對(duì)IIR系統(tǒng)進(jìn)行預(yù)測(cè)，如果階數(shù)越高越能逼近被預(yù)測(cè)系統(tǒng)。
標(biāo)簽： matlab square Least mean
上傳時(shí)間： 2013-12-08
上傳用戶：3到15
Normalized Least mean square algorithm in matlab
標(biāo)簽： Normalized algorithm matlab square
上傳時(shí)間： 2017-05-25
上傳用戶：cainaifa
A 64 sub carrier OFDM system based on the parameter of Mean square error
標(biāo)簽： parameter carrier square system
上傳時(shí)間： 2013-12-27
上傳用戶：yyq123456789
LMS: Least Mean Square the source code for state space environment.
標(biāo)簽： environment Square source Least
上傳時(shí)間： 2013-12-25
上傳用戶：xzt
least mean square algorithm for estimation state
標(biāo)簽： estimation algorithm square least
上傳時(shí)間： 2013-12-20
上傳用戶：jackgao
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