• 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