讲个故事逗他 发表于 2025-3-25 07:05:09
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http://reply.papertrans.cn/19/1892/189149/189149_22.pngirreparable 发表于 2025-3-25 13:52:16
https://doi.org/10.1007/978-3-322-91423-1ermann and Yang, 1997; Lee ., 1997; Lin and Cowan, 1997; Lin and Cowan, 1997; Table and Jutten, 1997; Hyvarinen and Oja, 1998; Hochreiter and Schemidhuber, 1998; Hyvarinen and Pajunen, 1999; Jutten, 2000; Jutten and Karhunen, 2003; Theis, 2003; Almeida, 2003, etc..exclamation 发表于 2025-3-25 19:44:18
Nonlinear ICA,ermann and Yang, 1997; Lee ., 1997; Lin and Cowan, 1997; Lin and Cowan, 1997; Table and Jutten, 1997; Hyvarinen and Oja, 1998; Hochreiter and Schemidhuber, 1998; Hyvarinen and Pajunen, 1999; Jutten, 2000; Jutten and Karhunen, 2003; Theis, 2003; Almeida, 2003, etc..Anguish 发表于 2025-3-25 22:37:32
https://doi.org/10.1007/978-3-322-91423-1The common method makes eigenvalues decomposition to the cumulant matrix that is estimated by the mixed signal samples. It can also perform joint diagonalization for the cumulant matrix through complex matrix transformation to estimate the mixing matrix in order to solve the BSS problem.Ablation 发表于 2025-3-26 00:42:30
Book 2011eld, such as probability density estimation-based processing algorithms, underdetermined models, complex value methods, uncertainty of order in the separation of convolutive mixtures in frequency domains, and feature extraction using Independent Component Analysis (ICA). At the end of the book, resu抗生素 发表于 2025-3-26 07:52:01
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http://reply.papertrans.cn/19/1892/189149/189149_28.png高谈阔论 发表于 2025-3-26 13:48:46
Joint Approximate Diagonalization Method, For infinite samples, JAD can calculate the common feature structure from any part of matrix set .. or linear combination of matrix in ..; but for finite samples ., the matrices in set .. can’t accurately share the same feature structure. The viewpoint of statistics, an “averaging” processing shoul引起 发表于 2025-3-26 17:40:06
Extension of Blind Signal Processing,cording to the characteristics of the signals to be extracted but can extract only a few signals, which can reduce the computing time, so the extraction algorithm is easier than the separation algorithm.