Incremental Partial Update Strategies Over Distributed Networks

Abstract

This paper presents a partial update adaptive strategies based on incremental techniques. The proposed strategies apply to the problem of linear estimation with less number of computations in a cooperative manner. A partial update technique for updating the LMS filter coefficient is an effective method for reduced computational load and power consumption in adaptive filter implementation. It is promising approach to reducing complexity, potential to improve performance while permits complexity reduction. Partial update techniques are efficient and power having learning mechanics for solving distributed estimation and optimization problem over a wireless network.