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Showing results 1 to 6 of 6

1
A maximum likelihood approach to single-channel source separation

Jang, GJ; Lee, TW, JOURNAL OF MACHINE LEARNING RESEARCH, v.4, no.7-8, pp.1365 - 1392, 2004-10

2
Extracting underlying meaningful features and canceling noise using independent component analysis for direct marketing

Ahn, H; Choi, E; Han, Ingoo, EXPERT SYSTEMS WITH APPLICATIONS, v.33, no.1, pp.181 - 191, 2007-07

3
Investigations of denoising source separation technique and its application to source separation and identification of mechanical vibration signals

Cheng, Wei; Zhang, Zhousuo; Lee, Seungchul; He, Zhengjia, JOURNAL OF VIBRATION AND CONTROL, v.20, no.14, pp.2100 - 2117, 2014-10

4
Underdetermined Convolutive BSS: Bayes Risk Minimization Based on a Mixture of Super-Gaussian Posterior Approximation

Cho, Janghoon; Yoo, Chang-Dong, IEEE-ACM TRANSACTIONS ON AUDIO SPEECH AND LANGUAGE PROCESSING, v.23, no.5, pp.828 - 839, 2015-05

5
Underdetermined independent component analysis by data generation

Kim, SG; Yoo, Chang Dong, INDEPENDENT COMPONENT ANALYSIS AND BLIND SIGNAL SEPARATION BOOK SERIES: LECTURE NOTES IN COMPUTER SCIENCE, v.3195, pp.445 - 452, 2004

6
자기 구성 신경망과 직접 엔트로피 추정량을 이용한 비선형 미지신호분리 = Nonlinear blind source separation using self-organizing neural networks and direct entropy estimatorlink

지현구; Jee, Hyun-Koo; et al, 한국과학기술원, 2004

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