Matlab environment based on the independent component analysis (ICA) is the imagie mixed with the separation of simulation program
標(biāo)簽： the environment independent component
上傳時間： 2014-08-10
上傳用戶：shinesyh
usb protocol deep analysis, development
標(biāo)簽： development protocol analysis deep
上傳時間： 2016-06-11
上傳用戶：sssl
獨立分量分析(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分離方法。它是一種統(tǒng)計方法，其目的是從由傳感器收集到的混合信號中分離出相互獨立的源信號，使得這些分離出來的源信號之間盡可能獨立。它在語音識別、電信和醫(yī)學(xué)信號處理等信號處理方面有著廣泛的應(yīng)用，目前已成為盲信號處理，人工神經(jīng)網(wǎng)絡(luò)等研究領(lǐng)域中的一個研究熱點。 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)上重點分析了一種快速ICA實現(xiàn)算法一FastICA。 物質(zhì)的非線性熒光譜信號可以看成是由多個相互獨立的源信號組合成的混合信號，而這些獨立的源信號可以看成是光譜的特征信號。為了更好的了解光譜信號的特征，本文利用獨立分量分析的思想和方法，提出了利用FastICA算法提取光譜信號的特征的方案，并進(jìn)行了仿真實驗。
標(biāo)簽： Independent Component analysis 分
上傳時間： 2013-12-20
上傳用戶：yan2267246
FEAPpv A Finite Element analysis Program: Personal Version
標(biāo)簽： analysis Personal Element Program
上傳時間： 2013-12-11
上傳用戶：gououo
pca人臉識別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
上傳時間： 2014-01-03
上傳用戶：佳期如夢
PCA人臉識別 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
上傳時間： 2016-06-25
上傳用戶：trepb001
PCA人臉識別 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
上傳時間： 2016-06-25
上傳用戶：hakim
PCA人臉識別 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
上傳時間： 2016-06-25
上傳用戶：cylnpy
PCA人臉識別 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
上傳時間： 2013-12-31
上傳用戶：cc1015285075
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