Work

Fast reverberation-reduction algorithm based on inexact matrix decomposition

Year: 2025

Type: article

Abstract: Traditionally, matrix-based methods for reverberation reduction have prioritized a high signal-to-reverberation ratio over low time consumption. This letter describes a fast reverberation-reduction algorithm. The reverberation-reduction problem is formulated as an inexact matrix decomposition. A low-rank matrix is obtained through the reverberation extraction in a low-dimensional matrix, and a two-stage structure optimizes the computation iterative frame. The proposed algorithm's convergence, time consumption, and error are numerically simulated. Field data processing results demonstrate that the algorithm achieves a similar receiver operating characteristic (ROC) curve as with the alternating direction multiplier method (ADMM) but reduces the time consumption by 33%.

Source: JASA Express Letters

DOI: 10.1121/10.0035946

Authors: Yunchao Zhu, Rui Duan, Kunde Yang, Qindong Sun

Institutions: PLA Navy Submarine Academy, Northwestern Polytechnical University, Tianjin University

Language: English

Topic: Speech and Audio Processing

Subfield: Signal Processing

Field: Computer Science

Domain: Physical Sciences

Open Access status: diamond

Funder: Natural Science Foundation of Shandong Province

Award: G2551801043