1) independent component analysis
独立变量分析
1.
Secondly,a zero-order term is effectively eliminated for hologram of pure phase by using independent component analysis,which receives a twin-image and phase unwrapping of a twin-image.
首先对传统的模拟退火算法进行改进,然后由独立变量分析方法对纯相位复波的数字全息图进行零级项消除,得到其共轭项,获取未解压的共轭复波相位,最后利用改进的模拟退火算法对未解压的共轭复波相位进行了相位恢复。
2) independent component analysis(ICA)
独立变量分析(ICA)
3) independent component analysis
独立分量分析
1.
Extraction of the Characteristics of the Acoustic Emission Signals of the Pitting of Low Carbon Steel Based on Independent Component Analysis and Wevelet Transform;
基于独立分量分析和小波变换的低碳钢点蚀声发射信号特征提取
2.
Signal Processing of Acoustic Emission of Metal Corrosion Based on the Independent Component Analysis;
基于独立分量分析的金属腐蚀声发射信号处理
3.
Noise removal of pulse wave signal based on independent component analysis;
基于独立分量分析的脉搏波信号的降噪处理
4) Independent Component Analysis(ICA)
独立分量分析
1.
Using simulated SEMG signals,the performance of proposed decomposition algorithm was analyzed and compared with that of the decomposition technique adopting independent component analysis(ICA),the decomposition experimen.
根据表面肌电信号(SEMG)形成的生理学特性,采用一种基于卷积混合过程的盲源分离技术来分析隐含在SEMG信号中的运动单位动作电位信息,利用仿真的SEMG信号对这种算法的分解性能进行实验研究,并与采用瞬时混合过程的独立分量分析(ICA)算法的分解性能进行比较,同时将该算法应用于真实SEMG信号的分解实验。
2.
Independent component analysis(ICA)can separate the sources from their mixtures and make the output statistically as independent as possible;it can remove noises effectively.
独立分量分析(ICA)能够从混合信号中分离出最独立的成分,有效抑制噪声。
3.
In order to blind estimation the sequence of asynchronous direct spread signals, this work used independent component analysis(ICA) combining with principle component analysis(PCA) to blindly separate the data bits of different users without the knowledge of the channel.
为解决异步直扩序列的盲估计问题,提出采用独立分量分析(ICA)结合主分量分析(PCA),在信道未知情况下有效盲分离多用户多径直扩信号和扩频码信息。
补充资料：变量与变量值
可变的数量标志和所有的统计指标称作变量。变量的数值表现称作
变量值，即标志值或指标值。变量与变量值不能误用。
变量值，即标志值或指标值。变量与变量值不能误用。
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条