DocumentCode :
3399767
Title :
FPGA implementation of efficient FIR Filter with quantized fixedpoint coefficients
Author :
Bhalke, Sangam ; Manjula, B.M. ; Sharma, Chhavi
Author_Institution :
Dept. of Electron. & Commun. Eng., Nitte Menakshi Inst. of Technol., Bangalore, India
fYear :
2013
fDate :
10-11 Oct. 2013
Firstpage :
1
Lastpage :
6
Abstract :
Finite Impulse Response (FIR) Filters is a digital filter which is used in digital signal processing like communicate-on, biomedical signal processing, image processing, etc. These Digital filters are used to filter out the part of signal that is redundant or damages the original signal. In this paper we have implemented a design of digital FIR filter using Finite State Machine (FSM). In this approach it is possible to reuse the hardware implemented so that the area will be reduced significantly, and also the delay and power will be reduces as compared to the MATLAB - Simulink based FIR Filters. In this design the filter coefficients used are fixed-point coefficients, which will reduce the truncation and computation complexity.
Keywords :
FIR filters; field programmable gate arrays; finite state machines; fixed point arithmetic; quantisation (signal); FPGA implementation; FSM; area reduction; computation complexity reduction; delay reduction; digital FIR filter design; digital signal processing; filter coefficient design; finite impulse response filters; finite state machine; power reduction; quantized fixed-point coefficients; signal filtering; truncation reduction; Adders; Band-pass filters; Finite impulse response filters; IIR filters; MATLAB; Random access memory; Carry-Look-ahead Adder; Carry-Select Adder; FIR filter; FSM; Modified Booth Algorithm; Multiplier;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Emerging Trends in Communication, Control, Signal Processing & Computing Applications (C2SPCA), 2013 International Conference on
Conference_Location :
Bangalore
Print_ISBN :
978-1-4799-1082-3
Type :
conf
DOI :
10.1109/C2SPCA.2013.6749406
Filename :
6749406
Link To Document :
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