Adaptive Acoustic Echo Cancellation Method Based on Frequency Domain Kalman Filtering
An echo cancellation and self-adaptive technology, which is applied in speech analysis, instruments, etc., can solve the problems of high computational complexity of the frequency-domain Kalman filter algorithm and the inability of the frequency-domain Kalman filter algorithm to converge to the optimal solution, etc., to achieve good Echo cancellation effect, algorithm performance improvement, performance improvement effect
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[0027] In order to improve the effect of echo cancellation, the present invention analyzes the structure of the frequency domain Kalman filtering algorithm, and improves the algorithm structure according to the analysis, and the specific process is as follows:
[0028] 1. Kalman filter based on frequency domain in acoustic echo cancellation model
[0029] If the signal of the near-end microphone at the n-th sampling point in the time domain is d(n), define the microphone signal vector d(k) in the time domain, which can be expressed as
[0030] d(k)=[d(kN-N+1),d(kN-N+2),...,d(kN)] T (1)
[0031] In the formula, ( ) T Represents the transpose, N represents the filter length, and k represents the sequence number of the frame. Then the microphone signal can be expressed as the sum of the echo signal and the background noise, namely
[0032] d(k)=y(k)+s(k) (2)
[0033] y(k) and s(k) represent the echo signal and the background noise, respectively, where the background noise i...
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