Computer Science – Sound
Scientific paper
2011-06-04
Computer Science
Sound
2010 International Conference on Intelligent Systems, Modelling and Simulation, Liverpool, UK
Scientific paper
In many application of noise cancellation, the changes in signal characteristics could be quite fast. This requires the utilization of adaptive algorithms, which converge rapidly. Least Mean Squares (LMS) adaptive filters have been used in a wide range of signal processing application. The Recursive Least Squares (RLS) algorithm has established itself as the "ultimate" adaptive filtering algorithm in the sense that it is the adaptive filter exhibiting the best convergence behavior. Unfortunately, practical implementations of the algorithm are often associated with high computational complexity and/or poor numerical properties. Recently adaptive filtering was presented that was based on Matching Pursuits, have a nice tradeoff between complexity and the convergence speed. This paper describes a new approach for noise cancellation in speech enhancement using the new adaptive filtering algorithm named fast affine projection algorithm (FAPA). The simulation results demonstrate the good performance of the FAPA in attenuating the noise.
Hadei Sayed A.
Sonbolestan N.
No associations
LandOfFree
A Fast Affine Projection Algorithm Based on Matching Pursuit in Adaptive Noise Cancellation for Speech Enhancement does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.
If you have personal experience with A Fast Affine Projection Algorithm Based on Matching Pursuit in Adaptive Noise Cancellation for Speech Enhancement, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and A Fast Affine Projection Algorithm Based on Matching Pursuit in Adaptive Noise Cancellation for Speech Enhancement will most certainly appreciate the feedback.
Profile ID: LFWR-SCP-O-7382