Adaptive signal processing
Adaptive filter theory (3rd ed.)
Adaptive filter theory (3rd ed.)
Step-size control for acoustic echo cancellation filter—an overview
Signal Processing - Special issue on current topics in adaptive filtering for hands-free acoustic communication and beyond
Acoustic Echo and Noise Control: A Practical Approach
Acoustic Echo and Noise Control: A Practical Approach
On length adaptation for the least mean square adaptive filters
Signal Processing - Fractional calculus applications in signals and systems
Variable length stochastic gradient algorithm
IEEE Transactions on Signal Processing
An LMS style variable tap-length algorithm for structure adaptation
IEEE Transactions on Signal Processing
An Improvement of the Two-Path Algorithm Transfer Logic for Acoustic Echo Cancellation
IEEE Transactions on Audio, Speech, and Language Processing
A VLMS based pseudo-fractional optimum order estimation algorithm
Proceedings of the 2011 International Conference on Communication, Computing & Security
International Journal of Computational Vision and Robotics
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The number of coefficients in an adaptive finite impulse response filter-based acoustic echo cancellation setup is an important parameter, affecting the overall performance of the echo cancellation. Too few coefficients give undermodelling and too many cause slow convergence and an additional echo due to the mismatch of the extra coefficients. This paper proposes a method to adaptively determine the filter length, based on estimation of the mean square deviation. The method is primarily intended for identifying long non-sparse systems, such as a typical impulse response from an acoustic setup. Simulations with band limited flat spectrum signals are used for verification, showing the behavior and benefits of the proposed algorithm. Furthermore, off-line calculation using recorded speech signals show the behavior in real situations and comparison with another state-of-the-art variable filter length algorithm shows the advantages of the proposed method.