Improvement in convergence speed and stability of Least Mean Square and Normalized Least Mean Square algorithm
This paper presents instigation of Least Mean Square and Normalized Least Mean Square algorithm on infinite impulse response filter using adaptive filter toolkit of LabVIEW software. User interface is designed using LabVIEW to obtain the learning curves for adaptive algorithms. The final results are comparing the performance of the least mean square algorithm with normalized least mean square algorithm. The complete performance of the designed system in terms of stability and convergence rate is observed. The standard least mean square algorithm possesses good speed of convergence as compared to the normalized least mean square algorithm.
2015 2nd International Conference on Computing for Sustainable Global Development (INDIACom)