Title :
Low-cost adaptive algorithm for noise subspace estimation
Author :
Attallah, S. ; Abed-Meraim, K.
Author_Institution :
Sch. of Electr. & Comput. Eng., Curtin Univ. of Technol., Perth, WA, Australia
fDate :
6/6/2002 12:00:00 AM
Abstract :
A new adaptive algorithm for noise subspace estimation and tracking that is based on Rayleigh´s quotient is proposed. The algorithm has a number of interesting properties such as low computational complexity and good numerical stability. It can have many applications, in particular, in digital signal processing and communications
Keywords :
adaptive estimation; computational complexity; noise; numerical stability; signal processing; tracking; Rayleigh quotient; adaptive algorithm; communications; digital signal processing; low computational complexity; low-cost algorithm; noise subspace estimation; noise subspace tracking; numerical stability;
Journal_Title :
Electronics Letters
DOI :
10.1049/el:20020388
