Title
A highly modular normalized adaptive lattice algorithm for multichannel least squares filtering.
Abstract
A highly modular normalized adaptive lattice algorithm for multichannel least squares FIR filtering and multivariable system identification, is presented. Multichannel filters with different numbers of delay elements per input channel are allowed. The main features of the proposed multichannel adaptive lattice least squares algorithm are the use of scalar only operations, multiplications/divisions and square roots, and the local communication which enables the development of a fully pipelinable architecture.
Year
DOI
Venue
1995
10.1109/ICASSP.1995.480508
Microelectronics Reliability
Keywords
Field
DocType
modular normalized adaptive lattice,input channel,local communication,delay element,proposed multichannel adaptive lattice,main feature,pipelinable architecture,multivariable system identification,multichannel filter,different number,lattices,finite impulse response filter,fir filters,square roots,identification,adaptive filters,matrix decomposition,error correction,autocorrelation
Least squares,Mathematical optimization,Lattice (order),Computer science,Filter (signal processing),Algorithm,Adaptive filter,Square root,Finite impulse response,System identification,Recursive least squares filter
Conference
ISBN
Citations 
PageRank 
0-7803-2431-5
1
0.37
References 
Authors
1
2
Name
Order
Citations
PageRank
G.-O. Glentis19014.21
C. H. Slump293.70