Title :
A high-resolution transform-domain adaptive digital filter
Author :
Xiao-Hui, Wu ; Zhen-ya, HE
Author_Institution :
Dept. of Radio Eng., Southeast Univ., Jiangsu, China
Abstract :
A novel transform-domain LMS (least mean square) adaptive digital filter based on the modified discrete Fourier transform is proposed. This filter has the advantages of high frequency resolution, fast convergence speed, and low computational complexity, especially for band-limited signals. The results of a computer simulation in which the adaptive digital filter was used for noise cancellation show that, with fewer computational requirements, the novel filter can achieve better convergence performance than a transform-domain LMS adaptive digital filter using the discrete Fourier transform
Keywords :
adaptive filters; digital filters; fast convergence speed; high frequency resolution; least mean square; low computational complexity; modified discrete Fourier transform; transform-domain adaptive digital filter; Adaptive filters; Computational complexity; Computer simulation; Convergence; Digital filters; Discrete Fourier transforms; Frequency; Least squares approximation; Noise cancellation; Signal resolution;
Conference_Titel :
Electrotechnical Conference, 1989. Proceedings. 'Integrating Research, Industry and Education in Energy and Communication Engineering', MELECON '89., Mediterranean
Conference_Location :
Lisbon
DOI :
10.1109/MELCON.1989.50018
