Title :
A Method for Unbiased Identification of the Feedback Path in Hearing Aids
Author :
Sakai, Hideaki ; Fujinaga, Takehiro
Author_Institution :
Dept. of Syst. Sci., Kyoto Univ.
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
Keywords :
adaptive filters; audio signal processing; autoregressive moving average processes; hearing aids; adaptive filters; autoregressive process; feedback path; hearing aids; moving average process; stability condition; two-channel adaptive algorithm; unbiased identification; Adaptive algorithm; Adaptive filters; Algorithm design and analysis; Delay; Feedback; Hearing aids; Microphones; Signal processing; Stability; Transfer functions;
Conference_Titel :
Acoustics, Speech and Signal Processing, 2006. ICASSP 2006 Proceedings. 2006 IEEE International Conference on
Conference_Location :
Toulouse
Print_ISBN :
1-4244-0469-X
DOI :
10.1109/ICASSP.2006.1660760
