Blind Separation of Sources : Methods, Assumptions and Applications(Special Section on Digital Signal Processing)

スポンサーリンク

概要

• 論文の詳細を見る

• The blind separation of sources is a recent and important problem in signal processing. Since 1984 [1], it has been studied by many authors whilst many algorithms have been proposed. In this paper, the description of the problem, its assumptions, its currently applications and some algorithms and ideas are discussed.

• 社団法人電子情報通信学会の論文
• 2000-08-25

著者

• Barros Allan

  Bio-mimetic Control Research Center (riken) : Department Of Elect. Eng Ufma Brazil.

• Mansour A

  Bio-mimetic Control Research Center (riken)

• MANSOUR Ali

  Bio-Mimetic Control Research Center (RIKEN)

• OHNISHI Noboru

  Bio-Mimetic Control Research Center (RIKEN)

• Ohnishi Noboru

  Bio-mimetic Control Research Center (riken) : Department Of Information Eng. Nagoya Univ.

関連論文

• Blind Separation of Sources Using Density Estimation and Simulated Annealing
• Blind Separation of Sources : Methods, Assumptions and Applications(Special Section on Digital Signal Processing)
• シーン内の文字列領域の改良した抽出方法
• Unique Shape Reconstruction Using Interreflections
• Unique Shape Recovery of a Polyhedron Based on Interreflections : 相互反射による多面体の形状復元
• Amplitude Estimation of Quasi-Periodic Physiological Signals by Wavelets

スポンサーリンク