This New Trick Kills Call Echo Without Draining Your Battery
Your next video call could sound clearer and use less power.
While the recursive least square (RLS) algorithm is widely used in adaptive filtering applications like acoustic echo cancellation (AEC) due to its fast convergence rate, its high computational complexity severely limit its practical deployment for long filters. In this paper, a regularized block-diagonal RLS (RBD-RLS) algorithm is proposed to address these challenges.
By approximating the inverse covariance matrix as a block-diagonal structure, RBD-RLS simplifies the update process into independent parallel computations of sub-blocks, effectively reducing the computational complexity. Additionally, Tikhonov regularization is applied to each sub-blocks for enhance numerical stability.
A series of experimental results demonstrate that RBD-RLS maintains good convergence while significantly reducing computational complexity. Moreover, it still exhibits relative robustness in real-world scenarios.
- The new algorithm makes echo cancellation faster by breaking the math into smaller parallel tasks.
- It uses regularization to stay stable and reliable in real-world noisy environments.
- This could extend battery life and improve call quality on phones, laptops, and smart speakers.
Why It Matters
Smootter calls and longer battery life for everyday devices — a win for anyone on video meetings.