卷积ICA的预测矩阵方法

2003 IEEE XIII Workshop on Neural Networks for Signal Processing (IEEE Cat. No.03TH8718) Pub Date : 2003-09-17 DOI:10.1109/NNSP.2003.1318024

L. K. Hansen, M. Dyrholm

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引用次数: 13

摘要

线性预测方法将卷积独立分量分析(ICA)简化为以下三个步骤:求解一组多元线性预测问题，求解已知矩阵系数的线性多元反卷积问题，最后求解传统的瞬时混合ICA问题。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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A prediction matrix approach to convolutive ICA

A linear prediction approach reduces convolutive independent component analysis (ICA) to the following three steps: solution of a set of multivariate linear prediction problems, a linear multivariate deconvolution problem with known matrix coefficients, and finally solution of a conventional instantaneous mixing ICA problem.

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来源期刊

2003 IEEE XIII Workshop on Neural Networks for Signal Processing (IEEE Cat. No.03TH8718)

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