独立分量分析的信噪分离,Signal and noise separation of independent component an
1)Signal and noise separation of independent component an独立分量分析的信噪分离
2)noise ICA噪声独立分量分析
1.In order to remove the bias,anoise ICA algorithm based the noise model is introduced and the multi-user detection method based this algorithm is deduced.针对独立分量分析算法忽略噪声这一缺点,引入基于噪声模型的噪声独立分量分析,得到基于噪声独立分量分析的多用户检测方法。
英文短句/例句
1.The Application of Noise Independent Component Analysis in Multi-user Detection;噪声独立分量分析在多用户检测中应用研究
2.Noise Sources Recognition Based on Independent Component Analysis Technology基于独立分量分析技术的内燃机噪声源识别
3.Study on Diesel Combustion Noise Based on Independent Component Analysis and Time Frequency Analysis-Part I: Analysis of combustion noise基于独立分量分析和时频分析的柴油机燃烧噪声研究Ⅰ:燃烧噪声分析
4.The Method of Seismic Random Noise Blind Separation Based on ICA基于独立分量分析的地震信号随机噪声盲分离方法应用研究
5.Image denoising based on independent component analysis(ICA)基于独立分量分析(ICA)的图像去噪方法
6.Removal of noise and ECG artifact from EEG based on wavelet transform and independent component analysis小波变换和独立分量分析去除脑电信号中的噪声和干扰
7.Study on Signal De-noising Technology in Ultrasonic Testing Based on Independent Component Analysis Theory基于独立分量分析理论的超声波检测信号降噪技术研究
8.Study on Diesel Combustion Noise Based on Independent Component Analysis and Time Frequency Analysis-Part II: Effect of pilot injection基于独立分量分析和时频分析的柴油机燃烧噪声研究Ⅱ:预喷射影响分析
9.New algorithm of blind image separation in noisy mixtures based on independence component analysis基于独立分量分析新算法的含噪图像盲分离
10.Removing Artifacts and Extracting Patterns in EEG Based on ICA;基于独立分量分析的脑电消噪与特征提取
11.Study of Image Denoising Based on Independent Component Analysis基于独立分量分析的图像去噪方法研究
12.The Application of ICA in PET Image Denoising独立分量分析在PET图像去噪处理中的应用
13.Research on Earthquake Signal De-Noising Based on Independent Component Analysis基于独立分量分析的地震信号去噪研究
14.Electrocardiogram noise removal based on empirical mode decomposition and independent component analysis基于经验模式分解与独立分量分析的心电信号消噪方法
15.Independent Component Analysis and Its Applications of Image Feature Extraction and Denoising;独立分量分析及其在图像特征提取和消噪中的应用
16.Modified Fast Independent Component Analysis and Its Application on Noise Attenuation for Seismic Data基于改进的快速独立分量分析方法的地震信号去噪研究
17.Simulation experiment of extracting evoked potential based on the combination of independent component analysis and wavelet analysis独立分量分析结合小波去噪算法提取诱发电位信号的仿真实验
18.Application of Differentiating Defect Signals of Ultrasonic Testing Based on Independent Component Analysis Theory;独立分量分析在超声波检测信号处理中的应用
相关短句/例句
noise ICA噪声独立分量分析
1.In order to remove the bias,anoise ICA algorithm based the noise model is introduced and the multi-user detection method based this algorithm is deduced.针对独立分量分析算法忽略噪声这一缺点,引入基于噪声模型的噪声独立分量分析,得到基于噪声独立分量分析的多用户检测方法。
3)NoisyICA带噪独立分量分析
4)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 onindependent component analysis;基于独立分量分析的脉搏波信号的降噪处理
5)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。
6)independent component analysis (ICA)独立分量分析(ICA)
延伸阅读
独立【诗文】：空外一鸷鸟，河间双白鸥。飘飖搏击便，容易往来游。草露亦多湿，蛛丝仍未收。天机近人事，独立万端忧。【注释】：【出处】：全唐诗：卷225_73全唐诗：卷225_73
