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Proceedings Paper

An affine projection algorithm using grouping selection of input vectors
Author(s): JaeWook Shin; NamWoong Kong; PooGyeon Park
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Paper Abstract

This paper present an affine projection algorithm (APA) using grouping selection of input vectors. To improve the performance of conventional APA, the proposed algorithm adjusts the number of the input vectors using two procedures: grouping procedure and selection procedure. In grouping procedure, the some input vectors that have overlapping information for update is grouped using normalized inner product. Then, few input vectors that have enough information for for coefficient update is selected using steady-state mean square error (MSE) in selection procedure. Finally, the filter coefficients update using selected input vectors. The experimental results show that the proposed algorithm has small steady-state estimation errors comparing with the existing algorithms.

Paper Details

Date Published: 1 October 2011
PDF: 6 pages
Proc. SPIE 8285, International Conference on Graphic and Image Processing (ICGIP 2011), 82850K (1 October 2011); doi: 10.1117/12.913258
Show Author Affiliations
JaeWook Shin, Pohang Univ. of Science and Technology (Korea, Republic of)
NamWoong Kong, Pohang Univ. of Science and Technology (Korea, Republic of)
PooGyeon Park, Pohang Univ. of Science and Technology (Korea, Republic of)


Published in SPIE Proceedings Vol. 8285:
International Conference on Graphic and Image Processing (ICGIP 2011)
Yi Xie; Yanjun Zheng, Editor(s)

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