usb protocol deep analysis, development
標(biāo)簽: development protocol analysis deep
上傳時(shí)間: 2016-06-11
上傳用戶:sssl
獨(dú)立分量分析(Independent Component Analysis,簡稱ICA)是近二十年來逐漸發(fā)展起來的一種盲信號(hào)分離方法。它是一種統(tǒng)計(jì)方法,其目的是從由傳感器收集到的混合信號(hào)中分離出相互獨(dú)立的源信號(hào),使得這些分離出來的源信號(hào)之間盡可能獨(dú)立。它在語音識(shí)別、電信和醫(yī)學(xué)信號(hào)處理等信號(hào)處理方面有著廣泛的應(yīng)用,目前已成為盲信號(hào)處理,人工神經(jīng)網(wǎng)絡(luò)等研究領(lǐng)域中的一個(gè)研究熱點(diǎn)。 本文簡要的闡述了ICA的發(fā)展、應(yīng)用和現(xiàn)狀,詳細(xì)地論述了ICA的原理及實(shí)現(xiàn)過程,系統(tǒng)地介紹了目前幾種主要ICA算法以及它們之間的內(nèi)在聯(lián)系,在此基礎(chǔ)上重點(diǎn)分析了一種快速ICA實(shí)現(xiàn)算法一FastICA。 物質(zhì)的非線性熒光譜信號(hào)可以看成是由多個(gè)相互獨(dú)立的源信號(hào)組合成的混合信號(hào),而這些獨(dú)立的源信號(hào)可以看成是光譜的特征信號(hào)。為了更好的了解光譜信號(hào)的特征,本文利用獨(dú)立分量分析的思想和方法,提出了利用FastICA算法提取光譜信號(hào)的特征的方案,并進(jìn)行了仿真實(shí)驗(yàn)。
標(biāo)簽: Independent Component Analysis 分
上傳時(shí)間: 2013-12-20
上傳用戶:yan2267246
FEAPpv A Finite Element Analysis Program: Personal Version
標(biāo)簽: Analysis Personal Element Program
上傳時(shí)間: 2013-12-11
上傳用戶:gououo
pca人臉識(shí)別This package implements basic Principal Component Analysis in Matlab and tests is with grayscale portion of the FERET database. Images are not preprocessed and it is up to the user to preprocess the images as wanted, not changing the filenames
標(biāo)簽: implements Principal Component Analysis
上傳時(shí)間: 2014-01-03
上傳用戶:佳期如夢
PCA人臉識(shí)別 This package implements basic Principal Component Analysis in Matlab and tests is with grayscale portion of the FERET database. Images are not preprocessed and it is up to the user to preprocess the images as wanted, not changing the filenames
標(biāo)簽: implements Component Principal Analysis
上傳時(shí)間: 2016-06-25
上傳用戶:trepb001
PCA人臉識(shí)別 This package implements basic Principal Component Analysis in Matlab and tests is with grayscale portion of the FERET database. Images are not preprocessed and it is up to the user to preprocess the images as wanted, not changing the filenames
標(biāo)簽: implements Component Principal Analysis
上傳時(shí)間: 2016-06-25
上傳用戶:hakim
PCA人臉識(shí)別 This package implements basic Principal Component Analysis in Matlab and tests is with grayscale portion of the FERET database. Images are not preprocessed and it is up to the user to preprocess the images as wanted, not changing the filenames
標(biāo)簽: implements Component Principal Analysis
上傳時(shí)間: 2016-06-25
上傳用戶:cylnpy
PCA人臉識(shí)別 This package implements basic Principal Component Analysis in Matlab and tests is with grayscale portion of the FERET database. Images are not preprocessed and it is up to the user to preprocess the images as wanted, not changing the filenames
標(biāo)簽: implements Component Principal Analysis
上傳時(shí)間: 2013-12-16
上傳用戶:JIUSHICHEN
matlab principal component analysis, PCA算法.
標(biāo)簽: component principal analysis matlab
上傳時(shí)間: 2013-12-31
上傳用戶:cc1015285075
Tetronix clock/data jitter analysis guide
標(biāo)簽: Tetronix analysis jitter clock
上傳時(shí)間: 2016-07-21
上傳用戶:Breathe0125
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