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Proceedings Paper

A selective-update affine projection algorithm with selective input vectors
Author(s): NamWoong Kong; JaeWook Shin; PooGyeon Park
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Paper Abstract

This paper proposes an affine projection algorithm (APA) with selective input vectors, which based on the concept of selective-update in order to reduce estimation errors and computations. The algorithm consists of two procedures: input- vector-selection and state-decision. The input-vector-selection procedure determines the number of input vectors by checking with mean square error (MSE) whether the input vectors have enough information for update. The state-decision procedure determines the current state of the adaptive filter by using the state-decision criterion. As the adaptive filter is in transient state, the algorithm updates the filter coefficients with the selected input vectors. On the other hand, as soon as the adaptive filter reaches the steady state, the update procedure is not performed. Through these two procedures, the proposed algorithm achieves small steady-state estimation errors, low computational complexity and low update complexity for colored input signals.

Paper Details

Date Published: 1 October 2011
PDF: 8 pages
Proc. SPIE 8285, International Conference on Graphic and Image Processing (ICGIP 2011), 828515 (1 October 2011); doi: 10.1117/12.913391
Show Author Affiliations
NamWoong Kong, Pohang Univ. of Science and Technology (Korea, Republic of)
JaeWook Shin, 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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