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The widely used least mean square (LMS) and normalized LMS (NLMS) algorithm for the development of adaptive feedback canceller in hearing aid exhibits poor convergence in the presence of colored signal. However, more often the input signals available to the hearing aid are colored in nature, which results in degraded performance of the feedback canceller and loss of speech intelligibility. The affine...
The adaptive feedback canceller (AFC) based on the least mean square (LMS) or normalized LMS (NLMS) algorithm exhibits poor convergence and high computational complexity when used for modelling an impulse response with large number of coefficients. Also, its convergence rate degrades for colored signal as input. The usage of frequency domain LMS (FLMS) algorithm for developing AFC results in enhanced...
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