A Maximum Entropy Subband Echo Cancellation Method Based on Entropy Attraction

Abstract

A maximum entropy subband echo cancellation method based on entropy attraction. n) is divided into 1 far-end subband vectors U by the analysis filter i (n), the far-end signal filtering input vector U(n) is divided into subband signals U by the analysis filter i (n); B, the extraction of the signal, the U i (n) N is extracted by the decimator, and the extracted input signal U is obtained i (k); C, the output of the filter, D, echo cancellation, near the terminal strip to extract the signal d i (k) and the output subband signal y i (k) Subtraction to get the error signal e i (k), E, ​​update of the weight coefficient vector: E1, calculate the entropy attraction P(k) at the extraction time k; E2, update the weight coefficient vector W(k+1) at the next extraction time k+1; F , Let n=n+1, repeat the steps of A, B, C, and D until the call ends. The method has fast convergence speed, low steady-state error, and obvious echo cancellation effect.

Description

technical field [0001] The invention belongs to the technical field of adaptive echo cancellation for voice communication. Background technique [0002] At present, the echo canceller estimates the echo through the core component—adaptive filter, and subtracts the estimated value of the echo from the near-end signal to achieve the effect of echo cancellation. Adaptive echo cancellation technology has been unanimously recognized because of its low cost and good effect, and it is also one of the most promising echo cancellation technologies recognized internationally. [0003] From the basic principle of echo cancellation, the use of acoustic echo canceller to achieve echo cancellation, the core part of which is the adaptive filter. The least mean square (LMS) algorithm, which is most commonly used in adaptive systems, often cannot achieve good results in echo cancellation applications. For this reason, in order to solve this difficulty, the method of normalized sub-band ada...

AI Technical Summary

Problems solved by technology

In the current adaptive echo cancellation application, the more mature subband echo cancellation method is the adaptive filtering algorithm of the normalized subband class, such as the literature 1 "TwoImproved Normalized Subband Adaptive Filter Algorithms with Good RobustnessAgainst Impulsive Interferences" ( Yu, Y., & Zhao, H., Circuits Syst Signal Process (2016) 35:4607–4619) (MCC‐SAF) method, which is to add the maximum entropy idea to the subband (SAF) algorithm to reduce impulse The impact of noise on the algorithm, this method does not take into account the sparsity of the system, and does not distinguish the magnitude of the impulse response of the system; therefore, the performance of the algorithm is reduced when the system is a sparse system

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