Paper: | SPTM-P12.3 |
Session: | Adaptive Systems and Filtering I |
Time: | Friday, May 19, 14:00 - 16:00 |
Presentation: |
Poster
|
Topic: |
Signal Processing Theory and Methods: Adaptive Systems and Filtering |
Title: |
A Method for Unbiased Identification of the Feedback Path in Hearing Aids |
Authors: |
Hideaki Sakai, Takehiro Fujinaga, Kyoto University, Japan |
Abstract: |
It is well known that the conventional adaptive algorithm for cancellation of the effect of the feedback path in hearing aids is biased. In this paper the stationary point of a modified adaptive algorithm by splitting the delay in the conventional one is derived by a direct method considering the causality constraint and an explicit expression of the bias is obtained. Also, a stability condition is mentioned. Then, when the input signal to hearing aids is a moving average (MA) process or an autoregressive (AR) process, unbiased algorithms for identification of the feedback path are proposed. It is shown by simulations that the new algorithm for an AR process converges considerably faster than that of the previously proposed two-channel adaptive algorithm. |