Title
Simulation and Performance Analysis of Adaptive Filtering Algorithms in Noise Cancellation
Abstract
Noise problems in signals have gained huge attention due to the need of noise-free output signal in numerous communication systems. The principal of adaptive noise cancellation is to acquire an estimation of the unwanted interfering signal and subtract it from the corrupted signal. Noise cancellation operation is controlled adaptively with the target of achieving improved signal to noise ratio. This paper concentrates upon the analysis of adaptive noise canceller using Recursive Least Square (RLS), Fast Transversal Recursive Least Square (FTRLS) and Gradient Adaptive Lattice (GAL) algorithms. The performance analysis of the algorithms is done based on convergence behavior, convergence time, correlation coefficients and signal to noise ratio. After comparing all the simulated results we observed that GAL performs the best in noise cancellation in terms of Correlation Coefficient, SNR and Convergence Time. RLS, FTRLS and GAL were never evaluated and compared before on their performance in noise cancellation in terms of the criteria we considered here.
Year
Venue
Keywords
2011
Clinical Orthopaedics and Related Research
signal to noise ratio,gal,mean square error,convergence,communication system,adaptive filter,noise
DocType
Volume
ISSN
Journal
abs/1104.1
IJCSI International Journal of Computer Science Issues, Vol. 8, Issue 1, January 2011, 185-192
Citations 
PageRank 
References 
1
0.36
3
Authors
4
Name
Order
Citations
PageRank
Lilatul Ferdouse1184.13
Nasrin Akhter266.26
Tamanna Haque Nipa310.36
Fariha Tasmin Jaigirdar461.25