Adaptive filter theory (2nd ed.)
Adaptive filter theory (2nd ed.)
Performance analysis of the DCT-LMS adaptive filtering algorithm
Signal Processing
Local echo canceler with optimal input for true full-duplex speechscrambling system
IEEE Transactions on Signal Processing
A robust variable step-size LMS-type algorithm: analysis andsimulations
IEEE Transactions on Signal Processing
An LMS style variable tap-length algorithm for structure adaptation
IEEE Transactions on Signal Processing
Research on an improved FIR-ALE method for sinusoidal phase jitter compensation
Digital Signal Processing
Adaptive filter length selection for acoustic echo cancellation
Signal Processing
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We address the problem of length adaptation for adaptive FIR filters implementing the LMS algorithm. In a previous paper, the authors have proposed an algorithm to adjust the length of the adaptive filter toward the optimum for uncorrelated inputs. Here, we extend the previous work to the case of correlated input sequences with emphasis in echo cancellation framework. Analytical expressions of the mean squared error and optimum filter coefficients are presented from which a new method of length adaptation is derived. Simulations, comparing our proposed algorithm with other related approach, in echo cancellation framework, are presented.