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Normalization Method of Gradient Vector in Frequency Domain Steepest Descent Type Adaptive Algorithm
Yusuke KUWAHARA Yusuke IWAMATSU Kensaku FUJII Mitsuji MUNEYASU Masakazu MORIMOTO
IEICE TRANSACTIONS on Fundamentals of Electronics, Communications and Computer Sciences
Publication Date: 2012/11/01
Online ISSN: 1745-1337
Print ISSN: 0916-8508
Type of Manuscript: Special Section LETTER (Special Section on Smart Multimedia & Communication Systems)
Category: Digital Signal Processing
Normalization of gradient vector, frequency domain, adaptive algorithm, discrete Fourier transform, linear convolution,
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In this paper, we propose a normalization method dividing the gradient vector by the sum of the diagonal and two adjoining elements of the matrix expressing the correlation between the components of the discrete Fourier transform (DFT) of the reference signal used for the identification of unknown system. The proposed method can thereby improve the estimation speed of coefficients of adaptive filter.