TY - GEN
T1 - Performance analysis of a McClellan transformation-based 2-D adaptive digital filter
AU - Strait, Jeffrey C.
AU - Jenkins, William Kenneth
PY - 1991/12/1
Y1 - 1991/12/1
N2 - A two-dimensional (2-D) adaptive filter structure based on the McClellan transformation design technique for 2-D finite impulse response (FIR) filters is capable achieving improved convergence rates and reduced computational efficiency in 2-D adaptive filters. It has been shown experimentally that if the transformation structure is constrained by prior knowledge of contour shapes in the frequency domain, the 2-D adaptive algorithm greatly reduces computational requirements and produces more rapid learning characteristics, as compared to the 2-D direct form. The authors present an analysis of the McClellan transformation 2-D adaptive filter to illustrate that the learning characteristics are similar to those of a 1-D least mean square (LMS) adaptive filter.
AB - A two-dimensional (2-D) adaptive filter structure based on the McClellan transformation design technique for 2-D finite impulse response (FIR) filters is capable achieving improved convergence rates and reduced computational efficiency in 2-D adaptive filters. It has been shown experimentally that if the transformation structure is constrained by prior knowledge of contour shapes in the frequency domain, the 2-D adaptive algorithm greatly reduces computational requirements and produces more rapid learning characteristics, as compared to the 2-D direct form. The authors present an analysis of the McClellan transformation 2-D adaptive filter to illustrate that the learning characteristics are similar to those of a 1-D least mean square (LMS) adaptive filter.
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M3 - Conference contribution
AN - SCOPUS:0026284553
SN - 0818624701
T3 - Conference Record - Asilomar Conference on Circuits, Systems & Computers
SP - 217
EP - 221
BT - Conference Record - Asilomar Conference on Circuits, Systems & Computers
PB - Publ by Maple Press, Inc
T2 - 25th Asilomar Conference on Signals, Systems & Computers Part 1 (of 2)
Y2 - 4 November 1991 through 6 November 1991
ER -