Title :
A systolic array for recursive least squares computations
Author :
Moonen, Marc ; Vandewalle, Joos
Author_Institution :
ESAT, Katholieke Univ., Leuven, Belgium
fDate :
2/1/1993 12:00:00 AM
Abstract :
A triangular processor array has been developed for implementing recursive-least-squares computations. The throughput is O(n 0), which means that data vectors are fed in at a rate that is independent of the problem size. The corresponding least-squares solutions then run out of the array at the same rate. The overall efficiency is roughly 67%. This array is believed to be the first to implement a complete RLS algorithm in a stable and efficient manner
Keywords :
least squares approximations; signal processing; systolic arrays; 67 percent; RLS algorithm; recursive least squares computations; signal processing; systolic array; triangular processor array; Concurrent computing; Covariance matrix; Helium; Least squares methods; Mathematics; Parallel architectures; Pipeline processing; Resonance light scattering; Systolic arrays; Throughput;
Journal_Title :
Signal Processing, IEEE Transactions on
