JOURNAL ARTICLE

An Incremental Noise Constrained Least Mean Square Algorithm

Abstract

This work proposes a distributed estimation algorithm for wireless sensor network, based on the incremental scheme. The proposed algorithm utilizes the noise variance in order to improve performance. The derivation and mean analysis are shown. The mean analysis of the algorithm is performed which show the range of step size and the stability of the algorithm. Under different scenarios experimental results show the superiority of the proposed algorithm.

Keywords:
Algorithm Stability (learning theory) Noise (video) Computer science Range (aeronautics) Variance (accounting) Algorithm design Mean squared error Wireless sensor network Mathematics Artificial intelligence Statistics Machine learning Engineering

Metrics

2
Cited By
0.22
FWCI (Field Weighted Citation Impact)
12
Refs
0.53
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Advanced Adaptive Filtering Techniques
Physical Sciences →  Engineering →  Computational Mechanics
Speech and Audio Processing
Physical Sciences →  Computer Science →  Signal Processing
Blind Source Separation Techniques
Physical Sciences →  Computer Science →  Signal Processing

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