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A high performance continuous data flow filter using sliding discrete Fourier transform (DFT) and one point inverse DFT

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2 Author(s)
Wen Zhuo ; Dept. of Biomed. Eng., Rutgers Univ., Piscataway, NJ, USA ; Micheli-Tzanakou, E.

This paper presents a high performance frequency domain filter implementation for a moving window-type processing. The computational structure consists of three stages: a sliding discrete Fourier transform (SDFT) for a vectorized updating of the DFT; a frequency domain filter; and a one-point inverse discrete Fourier transform (IDFT). The total computation required for generating one filtered output point is 2×N multiplications (N is the frequency window length) and 3×N additions compared to 2×N×log2N multiplications and additions if using FFT and IFFT. The proposed structure also has the advantage of being parallel in nature and can be used in various real-time frequency processing, continuous data flow, single or multiple channel applications

Published in:

Information Technology Applications in Biomedicine, 1998. ITAB 98. Proceedings. 1998 IEEE International Conference on

Date of Conference:

16-17 May 1998