Design of optimized FIR filter using Radix-2r

Finite Impulse Response (FIR) filters are mainly used in the Digital Signal Processing (DSP) applications. The main reason behind implementing FIR filters is because of its high speed and low power requirements. The main complexity of designing FIR filter lies in the multiplier block. There are many...

Full description

Saved in:

Bibliographic Details
Published in:	2018 3rd IEEE International Conference on Recent Trends in Electronics, Information & Communication Technology (RTEICT) pp. 798 - 803
Main Authors:	Vishnu, D Saketh, Sowjanya, D V, Reddy, P Nikhila, Rajula, Swaminadhan
Format:	Conference Proceeding
Language:	English
Published:	IEEE 01-05-2018
Subjects:	add and shift operations Adders Complexity theory Delays Field programmable gate arrays Finite impulse response filters FIR filter FPGA Look-up Table Maximum likelihood detection MCM multiplier-less Radix-2 r Resource management
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!

Description
Summary:	Finite Impulse Response (FIR) filters are mainly used in the Digital Signal Processing (DSP) applications. The main reason behind implementing FIR filters is because of its high speed and low power requirements. The main complexity of designing FIR filter lies in the multiplier block. There are many techniques by using add and shift operations exclusively through which we can actually design the multiplier block thus reducing the complex structure of multiplier and these type of designs are called multiplier-less. A New Multiple Constant Multiplication algorithm (MCM) called Radix-2 r has merit over existing algorithms for being fully predictable, sub linear, high speed and low power solutions. This paper presents the designing of an FIR filter using radix-2 r recoding technique with `r=5' and a unique Lookup Table for it and also being implemented further. The proposed design gives the better results compared to normal design in terms of adder-cost, adder depth & resource utilization and corresponding trade-off occurs between delay & resource utilization.
DOI:	10.1109/RTEICT42901.2018.9012490