Although nonnegative matrix factorization (NMF) is widely used, some matrix factorization
methods result in misleading results and waste of computing resources due to lack of timely …

In the contemporary era, blind source separation has emerged as a highly appealing and
significant research topic within the field of signal processing. The imperative for the …

This paper describes aneural blind source separation (BSS) method based on amortized
variational inference (AVI) of a non-linear generative model of mixture signals. A classical …

[[gabstract]][] To address the problem that array radar is seriously affected by complex
mainlobe jamming, a method of mainlobe jamming suppression with space–time …

Blind source separation (BSS) of audio signals aims to separate original source signals from
their mixtures recorded by microphones. The applications include automatic speech …

Most multichannel blind source separation (BSS) approaches rely on a spatial model to
encode the transfer functions from sources to microphones and a source model to encode …

为了解决高混响环境下欠定卷积混叠信号的分离问题, 提出一种新的欠定卷积盲源分离算法.
针对高混响环境的影响, 设计全局脉冲响应网络削弱混响回声, 提高信号质量 …

This paper presents a collaborative neurodynamic approach to Boolean matrix factorization.
Based on a binary optimization formulation to minimize the Hamming distance between a …

Nonnegative matrix factorization (NMF) has been traditionally considered a promising
approach for audio source separation. While standard NMF is only suited for single-channel …

卷积混叠环境下的盲源分离(Blind source separation, BSS) 是一个极具挑战性和实际意义的
问题. 本文在独立分量分析框架下, 建立非负矩阵分解(Nonnegative matrix factorization, NMF) …