of Dissertation Presented to the Graduate School of the University of Florida in Partial Fulfillment of the Requirements for the Degree of Doctor of Philosophy FROM FIXED TO ADAPTIVE BUDGET ROBUST KERNEL ADAPTIVE FILTERING By Songlin Zhao December 2012 Chair: Jose C. Principe Major: Electrical and Computer Engineering Recently, owning to universal modeling capacity, convexity in performance sur...

This paper addresses the problem of designing an adaptive Kalman consensus filter (a-KCF) which embedded in multiple mobile agents that are distributed a 2D domain. The role such filters is to provide estimation states dynamic linear system through communication over wireless sensor network. It assumed each sensing device (embedded agent) provides partial state measurements and transmits inform...

Noise is the most serious issue in the filters and adaptive filters are subjected to this unwanted component. This paper deals with the problem of the adaptive noise and various adaptive algorithms functions which when implemented practically shows that the noise is cancelled or removed by the neural network approach using the exact random basis function. The adaptive filters are used to contro...

Multiplicative general parameter (MGP) approach to finite impulse response (FIR) filtering introduces a novel way to realize cost effective adaptive filters in compact very large scale integrated circuit (VLSI) implementations used for example in mobile devices. MGP-filter structure comprises of additions and only a small number of multiplications, thus making the structure very simple. Only a ...