Independent Component Analysis Based on Information Bottleneck by Qiao Ke, Jiangshe Zhang, H. M. Srivastava, Wei Wei, Guang-Sheng Chen

“…The paper is mainly used to provide the equivalence of two algorithms of independent component analysis (ICA) based on the information bottleneck (IB). …”
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Research of power line communication based on independent component analysis by GAO Qiang, HUANG Li-yan, HOU Si-zu, ZHAO Zhen-bing

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Independent Component Analysis to Detect Clustered Microcalcification Breast Cancers by R. Gallardo-Caballero, C. J. García-Orellana, A. García-Manso, H. M. González-Velasco, M. Macías-Macías

“…This proposal is mainly based on the use of extracted image features obtained by independent component analysis, but we also study the inclusion of the patient’s age as a nonimage feature which requires no human expertise. …”
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Acoustical Source Tracing Using Independent Component Analysis and Correlation Analysis by Wei Cheng, Zhousuo Zhang, Jie Zhang, Jiantao Lu

“…Therefore, this paper studies the acoustical source tracing problem using independent component analysis (ICA) and identifies the sources using correlation analysis: the measured acoustical signals are separated into independent components by independent component analysis method, and thus all the independent information of all the sources is obtained; these independent components are identified based on the prior information of the sources and correlation analysis. …”
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Research on database watermarking based on Independent Component Analysis and multiple rolling by Zaihui Cao, Ge Shi, Qingtao Wu

“…The matrix is separated by the ratio Independent Component Analysis algorithm, and the watermark is used to separate the matrix. …”
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Blind recognition of real orthogonal STBC based on independent component analysis by Zhi-jin ZHAO, Lin CHEN, Hai-quan WANG, Lei SHEN

“…A method for blind recognition of orthogonal space-time block coding (OSTBC) based on independent component analysis (ICA) was proposed.Firstly,the model of received signal was given.And then independent component analysis technology was used to separate the virtual channel matrix which contains coding matrix information.Using the characteristics of coding matrix,it was proved that the correlation matrix of the virtual channel matrix in OSTBC communication systems was diagonal matrix.Finally,two characteristic parameters were proposed: sparsity and variance,which could recognize OSTBC.Simulation results demonstrated that the proposed method is able to identify OSTBC while achieves good performance.…”
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Underdetermined DOA Estimation via Independent Component Analysis and Time-Frequency Masking by Peter Jančovič, Xin Zou, Münevver Köküer

“…The algorithm performs the estimation in an iterative manner, each iteration consists of two-steps: first estimation of the DOA of a dominant source via the Independent Component Analysis and then removal of the detected source from the mixture via time-frequency masking. …”
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Adaptive Complex-Valued Independent Component Analysis Based on Second-Order Statistics by Yanfei Jia, Xiaodong Yang

“…This paper proposes a two-stage fast convergence adaptive complex-valued independent component analysis based on second-order statistics of complex-valued source signals. …”
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Separation algorithm of paired carrier multiple access based on independent component analysis by WAN Jian, XU Hua, ZHU Zhong-liang

“…Based on the introduction of paired carrier multiple access（PCMA）technology,a new algorithm was proposed to separate the satellite PCMA downlink mixed signals with independent component analysis（ICA）.The new algorithm utilized maximum negentropy as the separating criterion which could overcome the limitation that the power of two up-link signals could not be different too much.The computer simulations testified the validity of the algorithm.…”
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Application of Constrained Robust Independent Component Analysis in the Fault Diagnosis of Rolling Element Bearing by Liao Qiang, Li Xunbo, Huang Bo

“…The method of independent component analysis is widely used in mechanical equipment fault diagnosis domain.A novel method named as constrained robust independent component analysis（ cRobust ICA）based on Robust ICA algorithm is proposed which utilized prior information about the fault characteristic frequency.Firstly,how to create the reference signal is discussed.Then,the measurement function between reference signal and desired independent component（ IC） is defined.At last,an enhanced contrast function is acquired by modifying a generally used kurtosis contrast function with closeness measurement.A contrastive study on the conventional Fast ICA is adopted to demonstrate the effectiveness and accuracy of the cRobust ICA by numerical simulations and experiments.…”
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An algorithm for independent component analysis using a general class of copula-based dependence criteria by Fatemeh Asadi, Hamzeh Torabi, Hossein Nadeb

“…The efficiency of Independent Component Analysis ($\rm ICA$) algorithms relies heavily on the choice of objective function and optimization algorithms. …”
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Independent Component Analysis-Based Harmonic Transfer Impedance Estimation for Networks with Multiple Harmonic Sources by Mateus M. de Oliveira, Leandro R. M. Silva, Igor D. Melo, Carlos A. Duque, Paulo F. Ribeiro

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A Computer-Aided Diagnosis System for Breast Cancer Using Independent Component Analysis and Fuzzy Classifier by Ikhlas Abdel-Qader, Fadi Abu-Amara

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LOW FREQUENCY FAULT FEATURE EXTRACTION FOR GEARBOX BASED ON WAVELET TRANSFORM AND CONSTRAINED INDEPENDENT COMPONENT ANALYSIS by LENG JunFa, WANG ZhiYang, CHEN HuiTao, JING ShuangXi

Subjects: “…Constrained independent component analysis（cICA）…”
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A Hybrid Sales Forecasting Scheme by Combining Independent Component Analysis with K-Means Clustering and Support Vector Regression by Chi-Jie Lu, Chi-Chang Chang

“…This study proposes a hybrid sales forecasting scheme by combining independent component analysis (ICA) with K-means clustering and support vector regression (SVR). …”
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Acoustics Source Identification of Diesel Engines Based on Variational Mode Decomposition, Fast Independent Component Analysis, and Hilbert Transformation by Xieqi Chen, Jianhui Lin, Hang Jin, Andy Tan, Lei Yan

“…In order to increase the accuracy of decomposition for diesel engines and find out the sources of acoustics, a method combining VMD, fast independent component analysis, and Hilbert transformation (VMD-FastICA-HT) is proposed for the separation and identification of different sources for diesel engines. …”
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iDICss robustly predicts melanoma immunotherapy response by synergizing genomic and transcriptomic knowledge via independent component analysis by Jiayue Qiu, Nana Jin, Lixin Cheng, Chen Huang

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ICA based blind detection scheme in space-time block coding communications by XU Hong-ji 1, LIU Ju 1, GU Bo1, HU Hui-bo1

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Blind decoding method for a multi-cell massive antenna array system by Binbin YAN, Lei SHEN, Xianyang JIANG, Yu HAN

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Improved FastICA algorithm for data optimization processing in intrusion detection by Ye DU, dan ZHANGYa, hong LIMei, wei ZHANGDa

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