Nonnegative Least-Correlated Component Analysis for Separation of Dependent Sources by Volume Maximization

By Fa-Yu Wang, Chong-Yung Chi, Tsung-Han Chan, Yue Joseph Wang. 2010

85 citations recorded by the source corpus.

Subfields: Analytical Chemistry, Biomedical Engineering, Signal Processing

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Analytical Chemistry

1. Yi Luo
2. Nima Mesgarani

In Biomedical Engineering

1. Yi Luo
2. Nima Mesgarani

In Signal Processing

1. Yi Luo
2. Nima Mesgarani
3. Yossi Adi
4. Jonathan Le Roux
5. Zhuo Chen
6. Lior Wolf
7. Eliya Nachmani
8. Takuya Yoshioka

Citations in the corpus

• TaSNet: Time-Domain Audio Separation Network for Real-Time, Single-Channel Speech Separation (2017, methodology): “This signal factorization technique shares the motivation behind independent component analysis (ICA) with nonnegative mixing matrix [15] and semi-nonnegative matrix factorization (NMF) [16].”