Implementation Of Recursive Maximum Likelihood (RML) Algorithm In Designing Adaptive Notch Filter

Mawaddah , Muhammad (2007) Implementation Of Recursive Maximum Likelihood (RML) Algorithm In Designing Adaptive Notch Filter. Project Report. UTeM, Melaka, Malaysia. (Submitted)

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Abstract

Digital filter is an electronic filter that works by performing digital mathematical operations on an intermediate form of a signal. There are two types of filters such as Infinite Impulse Response (UR) filter and Finite Impulse Response (FIR) filter. In order to keep tracking the frequency changes in the input signal, the adaptive filter parameter must be updated recursively. However, the parameter estimation in conventional algorithm must be monitored to enforce convergence. Thus, in this project, the Recursive Maximum Likelihood (RML) algorithm is proposed for implementation due to its ability to enforce faster convergence without monitoring. The main objectives from this project are to investigate the use of Recursive Maximum Likelihood (RML) algorithm in designing adaptive filter. Besides, this project implements the algorithm in MA TLAB. Furthermore, it is aimed to produce a working program code in MATLAB.

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