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Titlebook: Blind Source Separation; Advances in Theory, Ganesh R. Naik,Wenwu Wang Book 2014 Springer-Verlag Berlin Heidelberg 2014 Blind Source Separ

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樓主: TIBIA
41#
發(fā)表于 2025-3-28 18:11:22 | 只看該作者
Subband-Based Blind Source Separation and Permutation Alignmenticular with a focus on the inherent permutation alignment problem associated with this approach, and bring attention to the most recent developments in this area, including the joint BSS approach in solving the convolutive mixing problem.
42#
發(fā)表于 2025-3-28 20:50:32 | 只看該作者
Ganesh R. Naik,Wenwu WangCovers the latest cutting edge topics on BSS and emphasis on the open problems.Present both theory and applications with examples.Offers unique in-depth analysis of BSS/ICA topics.Includes most advanc
43#
發(fā)表于 2025-3-28 23:19:15 | 只看該作者
Signals and Communication Technologyhttp://image.papertrans.cn/b/image/189150.jpg
44#
發(fā)表于 2025-3-29 04:36:49 | 只看該作者
45#
發(fā)表于 2025-3-29 09:10:29 | 只看該作者
https://doi.org/10.1007/978-3-662-59691-3urce separation problem. For the proof of concepts, the focus is on the scenario where the number of mixtures is not less than that of the sources. Based on the assumption that the sources are sparsely represented by some dictionaries, we present a joint source separation and dictionary learning alg
46#
發(fā)表于 2025-3-29 11:43:21 | 只看該作者
47#
發(fā)表于 2025-3-29 16:39:23 | 只看該作者
https://doi.org/10.1007/978-3-662-59691-3icular with a focus on the inherent permutation alignment problem associated with this approach, and bring attention to the most recent developments in this area, including the joint BSS approach in solving the convolutive mixing problem.
48#
發(fā)表于 2025-3-29 21:02:27 | 只看該作者
https://doi.org/10.1007/978-3-662-59691-3erent source vectors during the source separation process. It can theoretically avoid the permutation problem inherent to independent component analysis (ICA). The dependency in each source vector is maintained by adopting a multivariate source prior instead of a univariate source prior. In this cha
49#
發(fā)表于 2025-3-30 00:47:57 | 只看該作者
Das neue Profil des Top-Managers set of unknown source data (one-dimensional signals, images, ...) from observed mixtures of these data, while the mixing operator has unknown parameter values. The second task is Blind Mixture Identification (BMI), which aims at estimating these unknown parameter values of the mixing operator. We p
50#
發(fā)表于 2025-3-30 04:33:03 | 只看該作者
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