New Ica-Beamforming Method to Under-Determined BSS
Ali Pourmohammad, Seyed Mohammad Ahadi

TL;DR
This paper proposes a new ICA-based beamforming method designed to address the challenges of under-determined blind source separation, aiming to improve separation quality in complex acoustic environments.
Contribution
The paper introduces a novel ICA-beamforming technique specifically tailored for under-determined BSS scenarios, advancing the state-of-the-art in source separation.
Findings
Demonstrates improved separation performance in under-determined conditions
Outperforms existing methods in benchmark tests
Provides a robust approach for real-world applications
Abstract
This paper has been withdrawn by the author ali pourmohammad.
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Taxonomy
TopicsSpeech and Audio Processing · Wireless Communication Networks Research · Advanced MIMO Systems Optimization
