Low power and low complexity digital filters design and implementation.
Date of Issue2010
School of Electrical and Electronic Engineering
Centre for Integrated Circuits and Systems
In this thesis, the design and implementation of linear phase finite impulse response (FIR) filters are discussed in structural and algorithmic levels. First, a novel structure for synthesizing linear phase FIR filters is proposed. The proposed structure results in even lower implementation complexity compared with the conventional FIR filters implementations. Furthermore, a filter optimization problem is formulated based on the proposed structure to produce designs with even lower complexity. Secondly, in order to completely solve the problem of designing discrete coefficient linear phase FIR filters with minimum complexity, an algorithm is constructed. This algorithm is capable of producing the optimum design in most cases. In order to provide better tradeoff between power consumption and implementation complexity, a new algorithm is proposed for the design of linear phase FIR filers in cascade form with discrete coefficients. It is shown that the resultant cascade structure outperforms the single-stage realization in achieving lower complexity, higher circuit speed and probably lower power consumption. Finally, investigations in the multiple constants multiplication (MCM) implementation of polyphase linear phase FIR filters with restored symmetry are performed. Comparisons between the proposed and conventional structures in implementation complexity, circuit speed and power consumption are made. It is observed that the proposed MCM polyphase realization leads to reduced implementation complexity with a little decrease in circuit speed.
DRNTU::Engineering::Electrical and electronic engineering::Electronic circuits