Title :
Spectral analysis of frequency domain multiplication-free adaptive filter with the MDFT
Author :
Lee, Se Hyung ; Lee, Jae Kyung ; Yoon, Dal-Hwan
Abstract :
The paper analyses the spectrum of a frequency domain multiplication-free adaptive filter (FDMAF) using a modified discrete Fourier transform (MDFT) pair. The proposed FDMAF employs the MDFT and differential pulse code modulation in an input part and the reference input vectors are used in an update equation for the adaptive filter coefficients. Also, it can be simply controlled by adjusting the amplitude of the MDFT pair output signals and can obtain an output signal with stable convergence characteristics and without accumulated error. The condition used to analyse the algorithm has zero-mean, wide-sense stationary and white Gaussian noise.
Keywords :
AWGN; adaptive filters; convergence of numerical methods; differential pulse code modulation; discrete Fourier transforms; frequency-domain analysis; interference suppression; random noise; spectral analysis; accumulated error; adaptive noise cancellation; differential pulse code modulation; frequency domain multiplication-free adaptive filter; modified DFT pair; modified discrete Fourier transform pair; spectral analysis; stable convergence characteristics; update equation; white Gaussian noise; Adaptive filters; Algorithm design and analysis; Convergence; Differential equations; Discrete Fourier transforms; Error correction; Frequency domain analysis; Modulation coding; Pulse modulation; Spectral analysis;
Conference_Titel :
Intelligent Signal Processing and Communication Systems, 2004. ISPACS 2004. Proceedings of 2004 International Symposium on
Print_ISBN :
0-7803-8639-6
DOI :
10.1109/ISPACS.2004.1439065