独立分量

对独立分量分析在阵列声源定位的应用进行了研究，如何将独立分量分析应用在阵列信号处理中，尤其是ICA应用于波达方向估计是本文研究的重点和难点。

How to apply ICA into array signal processing , especially how to apply ICA into DOA estimation are the key and difficult point in this paper .

利用高阶累积量和独立分量分析网络进行盲均衡与系统辨识

HOS and ICA Based on Blind Equalization and System Identification

基于独立分量分析的极化SAR图像的相干斑抑制

New speckle reduction method for polarimetric SAR image based on independent component analysis

独立分量分析去除EEG中眼动伪差的方法研究

The Method of Independent Component Analysis in Removing Blink Artifacts from EEG

基于改进的快速独立分量分析与支持向量机的ECG分类诊断

Diagnostic ECG classification based on improved fast independent component analysis and support vector machine

提出了一种独立分量分析和BP神经网络相结合的人耳识别新方法（ICABP法）。

A new ear recognition method combining independent component analysis ( ICA ) and BP neural network was proposed .

在同原始遥感图像的BP神经网络分类结果进行比较，结果表明独立分量分析算法能提高多光谱遥感图像的分类的正确率。

Compared to classification result of source remote sensing images , the ICA pretreatment can improve the classification accuracy .

独立分量分析在MPEG-4人脸动画中的应用

The Application of Independent Component Analysis in MPEG-4 Based Facial Animation

本文在独立分量分析的基础上，提出了两种新的步态识别方法&基于ICA结构I的步态识别方法和基于ICA结构II的步态识别方法。

In this thesis , two new methods for gait recognition based on ICA are proposed .

基于独立分量分析（ICA）的音频数字水印

Digital Audio Watermarking Based on Independent Component Analysis

实验结果表明，利用独立分量分析算法能有效地从极化SAR图像中分离出相干斑，极大地抑制了相干斑噪声，并且在细节成分和边缘特征上具有很好的保持效果。

The experiment shows ICA algorithm can separate speckle from polarimetric SAR image effectively and improve the performance of the image .

本文将独立分量分析模型引入到极化SAR系统的图像处理模块中，以实现SAR图像和相干斑噪声的分离。

So this dissertation introduce ICA in the image processing of polarimetric SAR in order to separate texture image and speckle .

独立分量分析（ICA）是应用于基因分类的一种统计方法。

Independent component analysis ( ICA ) is a statistical method applied to gene cluttering .

介绍了基于ICA（独立分量分析法）的牌照识别系统的字符识别。

This paper describes the character recognition module based on independent component analysis ( ICA ) .

同时根据EEG信号特点，将快速定点独立分量算法引入脑电信号处理中，并结合中值滤波器，对传统的方法进行改进，提出了基于中值滤波的自适应小波阈值去噪法。

, and then put forward a reformative method based on median filter , which is called adaptive wavelet thresholding method .

独立分量分析（ICA）在齿轮箱故障诊断系统中的应用

The Application of Independent Component Analysis ( ICA ) in the Fault Diagnosis System of Gear Case

基于独立分量分析的DS-CDMA下行信道延迟估计

Delay Estimation Based on Independent Component Analysis in DS-CDMA Downlink

基于维纳滤波和快速独立分量分析的P300提取方法

Extraction Method of P300 Based on Wiener Filtering and Fast Independent Component Analysis

以独立分量分析（ICA）技术作为主要研究对象，对基于独立分量分析的定点算法进行了详细的分析和推理。

It is the technique of Independent Component Analysis ( ICA ) that be mainly researched in the paper .

但是ICA本身也存在限制，要求输入信号个数大于或等于分离出独立分量的个数。

But ICA limits the number of input signals equivalent to or more than the number of independent components .

基于独立分量分析的DS-CDMA系统接收机

DS-CDMA System Receiver Based on Independent Component Analysis

介绍一种用于盲源信号分离的快速独立分量分析算法（FastICA），尝试把该算法用于自适应有源噪声控制（AANC）系统中次级声反馈的控制。

A new fast algorithm of independent component analysis ( Fast ICA ) applied to blind signal separation is introduced .

本文首先集中讨论了与主分量分析（PCA）和独立分量分析（ICA）相关的理论和方法；

First , the theories and methodologies of principal component analysis ( PCA ) and independent component analysis have been discussed .

目的研究独立分量分析（ICA）方法在区别肝纤维化疾病中的应用。

[ Objective ] To study the appliance of the Independent Component Analysis ( ICA ) method in hepatic fibrosis .

独立分量分析（ICA）是基于数据高阶统计特性的一种线性变换手段。

Independent Component Analysis ( ICA ) is a linear transformation based on high-order statistic properties of the sample data .

基于KPCA及最佳鉴别独立分量的人脸识别方法

Face Recognition Based on KPCA and Optimal Discriminant Independent Components

独立分量分析（ICA）是一种从混合信号中提取统计独立的分量的一种方法。

Independent component analysis ( ICA ) is a technique which extracts statistically independent components from a set of measured signals .

最后将Hilbert-huang变换与独立分量分析相结合用于声发射信号的特征提取。

Finally , combining Hilbert-huang transformation and independent component analyzed acoustic emission signals for characteristic extraction .

将快速独立分量分析算法和BP网络相结合用于电子鼻的模式识别可以有效地改善这一问题。

This problem can be improved while fast independent component analysis ( FastICA ) and back propagation neural network ( BP NN ) were used for pattern recognition of electronic nose .

应用独立分量分析方法、BP神经网络模型、卷积码纠错编码和正交扩频等技术，提出了一些频域鲁棒性水印算法。

Some robust watermarking in frequency domain were researched by using independent component analysis ( ICA ), back-propagation neural network ( BPNN ), error correction coding and orthogonal spread spectrum technology .