Journal Title : International Journal of Modern Trends in Engineering and Science

Author’s Name : Karthika M | Sridevi A

Volume 02 Issue 12  Year 2015

ISSN no: 2348-3121  

Page no: 60-62

Abstract The frequency transformation based filters (FT filters) give an complete control over the cutoff frequency. On the other hand the cutoff frequency range of the FT filters is inadequate. FTCDM filter has wider cut off frequency range compared to the FT filter. But it also has limited range of cutoff frequency range; To overcome the problem of limited cutoff frequency range using a modified second-order frequency transformation based filter (MSFT filter). The one-to-one mapping condition stuck between the frequency variables and use low-pass to high-pass transformation on the prototype filter to attain wider range of cutoff frequency. That the MSFT filter provides 3.1 and 1.23 times wider cut off frequency range compared to FT and FTCDM filters. By using the MSFT filter the cut off frequency range can be improved.

Keywords Finite Impulse Response (FIR) filter, frequency transformations, variable linear-phase digital filter


[1] W.J.Oh,“Implementation of programmable multiplierless FIR filters with powers-of-two coefficients,” IEEE Trans. Circuits Syst. II, Analog Digit. Signal Process., Vol. 42, No. 8, pp. 553–556,Aug. (1995).
[2] C. W. Jen, and C. M. Liu, “A new hardware-efficient architecture for programmable FIR filters,” IEEE Trans. Circuits Syst. II,Analog Digit. Signal Process., Vol. 43, No. 9, pp. 637–644, Sep. (1996).
[3] T. Solla and O. Vainio, “Comparison of programmable FIR filter architectures for low power,” in Proc. 28th Eur. Solid-State Circuits Conf., Florence, Italy, Sep. (2002), pp. 759–762.
[4] K. H. Chen and T. D. Chiueh, “A low-power digit-based reconfigurable FIR filter,” IEEE Trans. Circuits Syst. II, Exp. Briefs, Vol. 53, No. 8,pp. 617–621, Aug. (2006).
[5] R. Mahesh and A. P. Vinod, “Reconfigurable frequency response masking filters for software radio channelization,” IEEE Trans. Circuits Syst. II, Exp. Briefs, Vol. 55, No. 3, pp. 274–278, Mar. (2008).
[6] R. Mahesh and A. P. Vinod, “Low complexity flexible filter banks for uniform and non-uniform channelization in software radios using coefficient decimation,” IET Circuits, Devices Syst., Vol. 5, No. 3,pp. 232–242, May (2011).
[7] A. G. Constantinides, “Spectral transformations for digital filters,” Proc.Inst. Elect. Eng., Vol. 117, No. 8, pp. 1585–1590, Aug. (1970).
[8] S. J. Darak, A. P. Vinod, and E. M.-K. Lai, “A new variable digital filter design based on fractional delay,” in Proc. IEEE, Int. Conf. Acoust., Speech Signal Process., Prague, Czech Republic, May (2011), pp. 1629–1632.
[9] S. C. Chan, C. K. S. Pun, and K. L. Ho, “A new method for designing FIR filters with variable characteristics,” IEEE Signal Process. Lett., Vol. 11, No. 2, pp. 274–277, Feb. (2004).
[10] P. Lowenberg and H. Johansson, “Minimax design of adjustable and width linear-phase FIR filters,” IEEE Trans. Circuits Syst. I, Reg.Papers, Vol. 53, No. 2, pp. 431–439, Feb. (2006).

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