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
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;
Conference_Titel :
Communications, 1991. ICC '91, Conference Record. IEEE International Conference on
Conference_Location :
Denver, CO
Print_ISBN :
0-7803-0006-8
DOI :
10.1109/ICC.1991.162219
