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Stefan cel Mare
University of Suceava
Faculty of Electrical Engineering and
Computer Science
13, Universitatii Street
Suceava - 720229
ROMANIA

Print ISSN: 1582-7445
Online ISSN: 1844-7600
WorldCat: 644266260
doi: 10.4316/AECE


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  4/2014 - 10

FIR Filter Sharpening by Frequency Masking and Pipelining-Interleaving Technique

CIRIC, M. P. See more information about CIRIC, M. P. on SCOPUS See more information about CIRIC, M. P. on IEEExplore See more information about CIRIC, M. P. on Web of Science, RADONJIC, V. M. See more information about  RADONJIC, V. M. on SCOPUS See more information about  RADONJIC, V. M. on SCOPUS See more information about RADONJIC, V. M. on Web of Science, KRNETA, R. R. See more information about  KRNETA, R. R. on SCOPUS See more information about  KRNETA, R. R. on SCOPUS See more information about KRNETA, R. R. on Web of Science, STEFANOVIC, N. J. See more information about STEFANOVIC, N. J. on SCOPUS See more information about STEFANOVIC, N. J. on SCOPUS See more information about STEFANOVIC, N. J. on Web of Science
 
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Download PDF pdficon (872 KB) | Citation | Downloads: 203 | Views: 1,111

Author keywords
digital filters, field programmable gate arrays, FIR filters, filtering theory, programmable logic devices

References keywords
signal(11), digital(11), filter(10), processing(9), systems(5), circuits(5), response(4), point(4), masking(4), filters(4)
Blue keywords are present in both the references section and the paper title.

About this article
Date of Publication: 2014-11-30
Volume 14, Issue 4, Year 2014, On page(s): 65 - 72
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2014.04010
Web of Science Accession Number: 000348772500010
SCOPUS ID: 84921680587

Abstract
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This paper focuses on the improvements of digital filters with a highly sharp transition zone on the Xilinx FPGA chips by combining a sharpening method based on the amplitude change function and frequency masking and PI (Pipelining-Interleaving) techniques. A linear phase requires digital filter realizations with Finite Impulse Response (FIR) filters. On the other hand, a drawback of FIR filters applications is a low computational efficiency, especially in applications such as filter sharpening techniques, because this technique uses processing the data by repeated passes through the same filter. Computational efficiency of FIR filters can be significantly improved by using some of the multirate techniques, and such a degree of computation savings cannot be achieved in multirate implementations of IIR (Infinite Impulse Response) filters. This paper shows the realization of a filter sharpening method with FIR filters combined with frequency masking and PI (Pipelining-Interleaving) technique in order to effectively realize the filter with improved characteristic. This realization at the same time keeps the good features of FIR filters such as the linear phase characteristic.


References | Cited By  «-- Click to see who has cited this paper

[1] J. F. Kaiser and R. W. Hamming, "Sharpening the response of a symmetric nonrecursive filter by multiple use of the same filter," IEEE Trans. Acoust., Speech, Signal Processing, vol. ASSP-25, pp. 415-422, Oct. 1977.
[CrossRef] [SCOPUS Times Cited 146]


[2] V. M. Poucki and A. Zemva and M. D. Lutovac and T. Karcnik "Elliptic IIR filter sharpening implemented on FPGA," Digital Signal Processing 20 (2010) 13-22, May 2009.
[CrossRef] [Web of Science Times Cited 5]


[3] V. Poucki, A. Zemva, M. Lutovac, T. Karcnik, "Chebyshev IIR filter sharpening implemented on FPGA", in: 16th Telecommunication Forum Telfor 2008, pp. 432-435.

[4] Milic L. Multirate filtering for digital signal processing: MATLAB applications. Hershey, PA: Information Science Reference; 2009.
[CrossRef] [SCOPUS Times Cited 3]


[5] Lim, Y.C. (1986). Frequency-response masking approach for the synthesis of sharp linear phase digital filters. IEEE Transactions on Circuits and Systems, 33(4), 357-364.
[CrossRef]


[6] Lim, Y. C., & Lian, Y. (1994). Frequency-response masking approach for digital filter design: complexity reduction via masking filter factorization. IEEE Transactions on Circuits and Systems-II: Analog and Digital Signal Processing, 41(8), 518-525.
[CrossRef] [Web of Science Times Cited 67] [SCOPUS Times Cited 75]


[7] Lim, Y. C., & Yang, R. (2005). On the synthesis of very sharp decimators and interpolators using the frequency-response masking technique. IEEE Transactions on Signal Processing, 53(4), 1387-1397.
[CrossRef] [Web of Science Times Cited 21] [SCOPUS Times Cited 26]


[8] Z. Jiang, A.N. Wilson, A pipelined/interleaved IIR digital filter architecture, Acoust., Speech Signal Process. 3 (1997) 2217-2220.

[9] K. K. Parhi and D. G. Messerschmitt, "Pipeline interleaving and parallelism in recursive digital filters-Part I: Pipelining using scatered look-ahead and decomposition," IEEE Trans. Acoust., Speech, Signal Processing, vol. 37 no. 7, pp. 1099-1117, Yuly 1989.

[10] Z. Jiang and A. N. Willson, "Efficient digital filtering architectures using pipelining/interleaving," IEEE Trans. Circuits Syst., vol. 44, no. 2, pp. 110-118, February 1994.
[CrossRef] [Web of Science Times Cited 24] [SCOPUS Times Cited 30]


[11] G. Antonesei, C. Turcu, A. Graur, "Conceptual Implementation of Sample Rate Convertors for DACs," Advances in Electrical and Computer Engineering, vol. 10, no. 2, pp. 53-60, 2010,
[CrossRef] [Full Text] [Web of Science Times Cited 1] [SCOPUS Times Cited 1]


[12] G. Antonesei, C. Turcu, A. Graur, "Basic Consideration for Signal Processing Solutions Used in Sigma-delta Based ADC and DAC Converters," Advances in Electrical and Computer Engineering, vol. 10, no. 1, pp. 71-78, 2010,
[CrossRef] [Full Text] [Web of Science Times Cited 1] [SCOPUS Times Cited 2]


[13] K. I. Kum, J. Kang, W. Sung, "AUTOSCALER For C: An Optimizing Floating-Point to Integer C Program Converter For Fixed-Point Digital Signal Processors", IEEE Trans. on Circuits and Systems II: Analog and Digital Signal Processing, vol. 47, issue 9, pp. 840-848, Sep. 2000.

[14] D. Menard, D. Chillet, F. Charot, O. Sentieys, "Automatic Floating-point to Fixed-point Conversion for DSP Code Generation", in Proc. of the 2002 International Conference on Compilers, Architecture, and Synthesis for Embedded Systems, Oct. 2002.

[15] A. Barleanu, V. Baitoiu, A. Stan, "Digital filter optimization for C language," Advances in Electrical and Computer Engineering, vol. 11, no. 3, pp. 111-114, 2011,
[CrossRef] [Full Text] [Web of Science Times Cited 3] [SCOPUS Times Cited 3]


[16] Signal processing toolbox for use with MATLAB. User's guide, The MathWorks Inc., 3 Apple Hill Drive, Natick, MA, 2006.

[17] Filter design toolbox for use with MATLAB. User's guide, The MathWorks Inc., 3 Apple Hill Drive, Natick, MA, 2006.

[18] System Generator for DSP, release 10.1, March, 2010, www.xilinx.com.

[19] M. Ciric and V. Radonjic, "Realization of Multistage FIR Filters using Pipelining-Interleaving, "TELFOR Journal, Vol. 4, No.2, pp. 107-110, 2012.

[20] Ramstad, T. A., & Saramäki, T. (1990, May). Multistage, multirate FIR filter structures for narrow transition band filters. Proc. 1990 IEEE Int. Symp. Circuits and Systems - ISCAS, New Orleans, Louisiana, 2017 - 2021.



References Weight

Web of Science® Citations for all references: 122 TCR
SCOPUS® Citations for all references: 286 TCR

Web of Science® Average Citations per reference: 6 ACR
SCOPUS® Average Citations per reference: 14 ACR

TCR = Total Citations for References / ACR = Average Citations per Reference

We introduced in 2010 - for the first time in scientific publishing, the term "References Weight", as a quantitative indication of the quality ... Read more

Citations for references updated on 2016-12-04 11:03 in 70 seconds.




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