Publication Type : Conference Paper
Publisher : IEEE
Source : 2018 International Conference on Wireless Communications, Signal Processing and Networking, WiSPNET 2018
Url : https://ieeexplore.ieee.org/document/8538654
Campus : Amritapuri
School : School of Engineering
Department : Electrical and Electronics
Year : 2018
Abstract : Digital Signal Processing (DSP) applications make use of adaptive algorithms for noise reduction in wireless communication systems. Adaptive filters play an important role to accomplish the idea of adaptive algorithms. This paper discusses different adaptive algorithms including LMS, NLMS and RLS algorithms and comparing the three on the basis of Matlab and Verilog results. The simulation results shows that RLS has faster convergence rate than LMS and NLMS algorithms.
Cite this Research Publication : Parvathy, A., Narayanan, G., Comparative Study of Adaptive Algorithms Using Matlab and Verilog, 2018 International Conference on Wireless Communications, Signal Processing and Networking, WiSPNET 2018