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논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 저널정보
- 대한전기학회 Journal of Electrical Engineering & Technology Journal of Electrical Engineering & Technology Vol.10 No.5
- 발행연도
- 2015.9
- 수록면
- 2,179 - 2,188 (10page)
이용수
초록· 키워드
오류제보하기
Recently, many researches have been done to solve the challenging problem of Blind Source Separation (BSS) problems in the underdetermined cases, and the “Two-step” method is widely used, which estimates the mixing matrix first and then extracts the sources. To estimate the mixing matrix, conventional algorithms such as Single-Source-Points (SSPs) detection only exploits the sparsity of original signals. This paper proposes a new underdetermined mixing matrix estimation method for time-delayed mixtures based on the receiver prior exploitation. The prior information is extracted from the specific structure of the complex-valued mixing matrix, which is used to derive a special criterion to determine the SSPs. Moreover, after selecting the SSPs, Agglomerative Hierarchical Clustering (AHC) is used to automaticly cluster, suppress, and estimate all the elements of mixing matrix. Finally, a convex-model based subspace method is applied for signal separation. Simulation results show that the proposed algorithm can estimate the mixing matrix and extract the original source signals with higher accuracy especially in low SNR environments, and does not need the number of sources before hand, which is more reliable in the real non-cooperative environment.
목차
Abstract
1. Introduction
2. Problem Formulation
3. Proposed SSPs Detection Method
4. Mixing Matrix Estimation Based on AHC
6. Simulation and Results
7. Conclusion
References
참고문헌 (21)
참고문헌 신청
[학술지(정기간행물)] - C. Jutten / 1991 / Blind Separation of Sources, Part I : An Adaptive Algorithm based on Neuromimetic Architecture / Signal Processing 24 (1) : 1 ~ 20
[단행본] - A. Hyvarinen / 2001 / Independent Component Analysis / John Wiley&Sons : 407 ~ 440
[단행본] - P. Comon / 2010 / Handbook of Blind Source Separation: Independent Component Analysis and Applications / Academic Press of Elsevier
[학술대회논문] - P. Bofill / 2000 / Blind Separation of More Sources than Mixtures using Sparsity of Their Short-Time Fourier Transform / Proceedings of ICA 2000 : 87 ~ 92
[학술지(정기간행물)] - P. Bofill / 2001 / Underdetermined Blind Source Separation using Sparse Representations / Signal Processing 81 (11) : 2353 ~ 2362
[단행본] - A. Hyvarinen / 2001 / Independent Component Analysis / John Wiley&Sons : 407 ~ 440
[단행본] - P. Comon / 2010 / Handbook of Blind Source Separation: Independent Component Analysis and Applications / Academic Press of Elsevier
[학술대회논문] - P. Bofill / 2000 / Blind Separation of More Sources than Mixtures using Sparsity of Their Short-Time Fourier Transform / Proceedings of ICA 2000 : 87 ~ 92
[학술지(정기간행물)] - P. Bofill / 2001 / Underdetermined Blind Source Separation using Sparse Representations / Signal Processing 81 (11) : 2353 ~ 2362
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