Title :
Parallel implementations with low-complexity of rotation-based adaptive filters
Abstract :
This paper propose a new parallel implementation of some rotation-based adaptive filters (Bhouri, M, 2000). These filters are characterized by a robust behavior to input signal correlation (Bhouri, M, et al, 1998) and good numerical properties. However, their implementations have reduced complexities. The circuits based on these block-diagonal adaptive algorithms use less computing cells than the systolic circuit of the QR-RLS algorithm. Nevertheless, these new and low-complexity architectures have no longer a pipeline structure.
Keywords :
adaptive filters; correlation methods; least squares approximations; parallel algorithms; block-diagonal adaptive algorithms; recursive least squares algorithm; rotation-based adaptive filters; signal correlation; systolic circuit; Adaptive algorithm; Adaptive filters; Circuits; Computer architecture; Filtering algorithms; Least squares approximation; Pipelines; Resonance light scattering; Robustness; Systolic arrays;
Conference_Titel :
Signal Processing Systems Design and Implementation, 2005. IEEE Workshop on
Print_ISBN :
0-7803-9333-3
DOI :
10.1109/SIPS.2005.1579936