DocumentCode
1710784
Title
Tree-structured piecewise linear adaptive equalization
Author
Gelfand, Saul B. ; Ravishankar, C.S. ; Delp, Edward J.
Author_Institution
Sch. of Electr. Eng., Purdue Univ., West Lafayette, IN, USA
fYear
1991
Firstpage
1383
Abstract
The authors propose using a tree-structured piecewise linear filter as an adaptive equalizer. The tree-structured approach offers several advantages. First, it makes use of standard linear adaptive filtering techniques at each node to find the corresponding conditional linear filter. Second, it allows for efficient selection of the subtree and the corresponding piecewise linear filter of appropriate complexity. Overall, the approach is computationally efficient and conceptually simple
Keywords
adaptive filters; digital filters; equalisers; filtering and prediction theory; piecewise-linear techniques; trees (mathematics); adaptive equalizer; conditional linear filter; linear adaptive filtering; piecewise linear adaptive equalization; subtree; tree-structured piecewise linear filter; Adaptive equalizers; Adaptive filters; Classification tree analysis; Decision feedback equalizers; Digital communication; Intersymbol interference; Nonlinear filters; Piecewise linear techniques; Polynomials; Regression tree analysis;
fLanguage
English
Publisher
ieee
Conference_Titel
Communications, 1991. ICC '91, Conference Record. IEEE International Conference on
Conference_Location
Denver, CO
Print_ISBN
0-7803-0006-8
Type
conf
DOI
10.1109/ICC.1991.162219
Filename
162219
Link To Document