caa a22 4500 465742297 CHVBK 20180323111811.0 cr unu---uuuuu 170327e19900901xx s 000 0 eng 10.1007/BF00931034 doi (NATIONALLICENCE)springer-10.1007/BF00931034 Lewis Paul Los Alamos National Laboratory, Mechanical and Electronic Engineering, Instrumentation, MEE-3, MS J580, 87545, Los Alamos, NM, USA aut Systolic architectures for adaptive multichannel least squares lattice filters [Elektronische Daten] [Paul Lewis] A family of systolic array architectures for adaptive multichannel least squares lattice (MLSL) filters is presented. These architectures are based on a recently developed algorithm that provides an efficient, numerically sound, and well-structured set of recursions for realizing MLSL filters. The algorithm is based on the recursive QR decomposition of the forward and backward error correlation matrices. Form input channels andp filter taps,O(pm 2) computations are required per time step. Numerous space-time tradeoffs are available in mapping the algorithm's recursions to systolic architectures, leading to the architectural family presented here. Kluwer Academic Publishers, 1990 Journal of VLSI signal processing systems for signal, image and video technology Springer Netherlands 2/1(1990-09-01), 29-36 0922-5773 2:1<29 1990 2 11265 https://doi.org/10.1007/BF00931034 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/BF00931034 text/html Onlinezugriff via DOI NATIONALLICENCE 100 1- Lewis Paul Los Alamos National Laboratory, Mechanical and Electronic Engineering, Instrumentation, MEE-3, MS J580, 87545, Los Alamos, NM, USA aut NATIONALLICENCE 773 0- Journal of VLSI signal processing systems for signal, image and video technology Springer Netherlands 2/1(1990-09-01), 29-36 0922-5773 2:1<29 1990 2 11265 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer