Title :
A fast least squares QRD-based algorithm for complex data
Author :
Terré, M. ; Bellanger, M.
Author_Institution :
CNAM, Paris, France
fDate :
11/1/1994 12:00:00 AM
Abstract :
The family of QRD-based fast least squares algorithms is extended to complex input and reference signals. The suitable elementary rotation for complex data is recalled and the computational organizations are given for both the regular and systolic versions of FLS-QR algorithms
Keywords :
least squares approximations; parallel algorithms; signal processing; FLS-QR algorithms; complex data; complex input signals; fast least squares QRD; reference signals; rotation; signal processing; systolic algorithms; Adaptive filters; Lattices; Least squares methods; Matrices; Signal processing; Signal processing algorithms;
Journal_Title :
Signal Processing, IEEE Transactions on
