W. S. Gan

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Adaptive filters are used in the situation where the filter coefficients have to be changed simultaneously according to the requirement. Adaptive filters are needed for fast convergence rate and low mean square error. Many algorithms have been proposed and proved that they have better convergence speed and tracking abilities. This paper shows the ability of(More)
In many hands-free voice communication applications, the presence of acoustic noise and echo degrades the quality and intelligibility of speech. This paper presents frequency-domain techniques for integrating noise reduction and echo cancellation algorithms. The self-excited method based on the short-term spectral magnitude technique is used for noise(More)
The parallel implementation of the Least Mean Square (LMS) and Recursive Least Square (RLS) adaptive algorithms was investigated to study the scalability and the isoefficiency of these parallel implementations. The analysis includes deriving theoretical expressions for the computation and communication time for the parallel implementation of the adaptive(More)
This paper describes and analyzes a class of subband adaptive filters (SAFs) that stems from various approaches of applying subband and multirate techniques in adaptive filtering. This class of SAFs has a unique weight-control mechanism, whereby subband error signals are used to adapt a fullband tap-weight vector. In this paper, we show that the recursive(More)
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