A selective-update affine projection algorithm with selective input vectors

NamWoong Kong; JaeWook Shin; PooGyeon Park

doi:10.1117/12.913391

30 September 2011 A selective-update affine projection algorithm with selective input vectors

NamWoong Kong, JaeWook Shin, PooGyeon Park

Proceedings Volume 8285, International Conference on Graphic and Image Processing (ICGIP 2011); 828515 (2011) https://doi.org/10.1117/12.913391
Event: 2011 International Conference on Graphic and Image Processing, 2011, Cairo, Egypt

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.

Citation Download Citation

NamWoong Kong, JaeWook Shin, and PooGyeon Park "A selective-update affine projection algorithm with selective input vectors", Proc. SPIE 8285, International Conference on Graphic and Image Processing (ICGIP 2011), 828515 (30 September 2011); https://doi.org/10.1117/12.913391

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KEYWORDS

Error analysis

Digital filtering

Computer simulations

Detection and tracking algorithms

Signal to noise ratio

Signal generators

Image filtering

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