Approximated affine projection algorithm for feedback cancellation in hearing aids.
We propose an approximated affine projection (AP) algorithm for feedback cancellation in hearing aids. It is based on the conventional approach using the Gauss-Seidel (GS) iteration, but provides more stable convergence behaviour even with small step sizes. In the proposed algorithm, a residue of the weighted error vector, instead of the current error sample, is used to provide stable convergence. A new learning rate control scheme is also applied to the proposed algorithm to prevent signal cancellation and system instability. The new scheme determines step size in proportion to the prediction factor of the input, so that adaptation is inhibited whenever tone-like signals are present in the input. Simulation results verified the efficiency of the proposed algorithm.
Lee
Sangmin
S
School of Electrical Engineering, Inha University, Incheon, Republic of Korea.
Kim
In-Young
IY
Park
Young-Cheol
YC
D000465:Algorithms; D016477:Artifacts; D017076:Computer-Aided Design; D004867:Equipment Design; D019544:Equipment Failure Analysis; D005246:Feedback; D006310:Hearing Aids; D012815:Signal Processing, Computer-Assisted; D013018:Sound Spectrography / Q000295:instrumentation* / Q000379:methods*