An affine projection algorithm using grouping selection of input vectors

JaeWook Shin; NamWoong Kong; PooGyeon Park

doi:10.1117/12.913258

30 September 2011 An affine projection algorithm using grouping selection of input vectors

JaeWook Shin, NamWoong Kong, PooGyeon Park

Proceedings Volume 8285, International Conference on Graphic and Image Processing (ICGIP 2011); 82850K (2011) https://doi.org/10.1117/12.913258
Event: 2011 International Conference on Graphic and Image Processing, 2011, Cairo, Egypt

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.

Citation Download Citation

JaeWook Shin, NamWoong Kong, and PooGyeon Park "An affine projection algorithm using grouping selection of input vectors", Proc. SPIE 8285, International Conference on Graphic and Image Processing (ICGIP 2011), 82850K (30 September 2011); https://doi.org/10.1117/12.913258

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