Self-adaptive filtering coefficient updating method and device

Abstract

The invention discloses a self-adaptive filtering coefficient updating method. The self-adaptive filtering coefficient updating method comprises the following steps: step 1: equally dividing the length of a filter W(k) at a moment K into M sections; step 2: solving a secondary norm of a coefficient of each section of the filter; step 3: moving a rectangular window on the M sections of the filter, and accumulating the secondary norms of the coefficients of all sections of the filter in a window to obtain a maximum accumulated value; step 4: taking each filter subsection with the maximum accumulated value in the window as a filter active coefficient subsection Wa(k), and taking the others as non-active coefficient subsections Wn-a(k); and step 5: updating all the filter active coefficient subsections Wa(k) of the filter, and circularly updating one non-active coefficient subsection Wn-a(k). According to the self-adaptive filtering coefficient updating method disclosed by the invention, all the active coefficients of the filter are updated and one small section of the non-active coefficients are circularly updated, so that the effective length of the filter is reduced, the convergence speed is improved and the algorithm complexity is reduced. The invention further provides a self-adaptive filtering coefficient updating device.

Description

technical field [0001] The invention relates to the field of adaptive noise reduction, in particular to a method and device for updating coefficients of adaptive filtering. Background technique [0002] With the advancement of technology in recent years, communication technology has been developing day by day, and various new communications emerge in an endless stream, but the most important communication method is still voice communication, and users are more and more concerned about the quality of voice communication. When using electronic, network communication equipment or hands-free communication equipment, users often hear their own voice at the receiving end, this phenomenon is called communication echo phenomenon. The communication echo seriously affects the communication quality, and in extreme cases, it can cause howling, making the communication impossible. For communication echo phenomenon, a common solution is to build an echo cancellation (echocancellation, EC...

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Problems solved by technology

[0012] Due to the uncertainty of the acoustic channel delay, in order to fully identify the impulse response sequence, under some extreme conditions, the adaptive filter needs thousands of coefficients, and an excessively long filter will lead to a decrease in the convergence speed of the adaptive system , The computational complexity increases, which will seriously affect the performance of the adaptive system

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