Title :
Modified Discrete Fourier Transforms for fast convolution and adaptive filtering
Author :
Radhakrishnan, C. ; Jenkins, W.K.
Author_Institution :
Dept. of Electr. Eng., Pennsylvania State Univ., University Park, PA, USA
fDate :
May 30 2010-June 2 2010
Abstract :
Recently the previously reported Modified Fermat Number Transform (MFNT) based on Right Circular Convolution (RCC) was extended to form a Quadratic MFNT (QMFNT) by introducing Left-angle Circular Convolution (LCC) and interpreting the combined result as a quadratic representation of the resulting convolution output. This paper introduces a new Modified Discrete Fourier Transform (MDFT) that relies on a similar combination of RCC and LCC. The MDFT enables overlap-add FFT block processing to be implemented without zero padding, resulting in reduced computational complexity and potentially reduced power requirements in nanoscale VLSI implementations.
Keywords :
VLSI; adaptive filters; computational complexity; convolution; discrete Fourier transforms; adaptive filtering; block processing; computational complexity; discrete Fourier transforms; fast convolution; left-angle circular convolution; nanoscale VLSI implementations; power requirements; quadratic modified fermat number transform; right circular convolution; Adaptive filters; Computational complexity; Convolution; Digital filters; Discrete Fourier transforms; Fast Fourier transforms; Fault tolerance; Finite impulse response filter; Fourier transforms; Very large scale integration; adaptive filters; block processing; discrete Fourier transform; fast convolution;
Conference_Titel :
Circuits and Systems (ISCAS), Proceedings of 2010 IEEE International Symposium on
Conference_Location :
Paris
Print_ISBN :
978-1-4244-5308-5
Electronic_ISBN :
978-1-4244-5309-2
DOI :
10.1109/ISCAS.2010.5537448