Results 241 to 250 of about 6,039 (296)

Affine projection algorithm with selective projections

Signal Processing, 2012
In the affine projection adaptive filtering algorithm, convergence is sped up by increasing the projection order but with an unwelcome consequence of increased steady-state misalignment. To address this unfavorable compromise, we propose a new affine projection algorithm with selective projections. This algorithm adaptively changes the projection order
Reza Arablouei
exaly   +3 more sources

An Affine Projection Algorithm With Evolving Order

IEEE Signal Processing Letters, 2009
We present a novel affine projection algorithm (APA) which automatically determines its projection order by an evolutionary method. The evolutionary method increases or decreases the projection order by comparing the output error with a threshold. The experimental results show that the proposed algorithm has fast convergence speed and small steady ...
Seong-Eun Kim, Woo-Jin Song
exaly   +4 more sources

Affine projection algorithm with variable projection order

2012 IEEE International Conference on Communications (ICC), 2012
Increasing the projection order in the affine projection adaptive filtering algorithm speeds up the convergence but also increases the steady-state misalignment. To address this unfavorable compromise, we propose a new affine projection algorithm with a variable projection order.
Reza Arablouei, Kutluyil Dogançay
openaire   +2 more sources

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Set-membership affine projection algorithm

IEEE Signal Processing Letters, 2001
This letter presents a new data selective adaptive filtering algorithm, the set-membership affine projection (SM-AP) algorithm. The algorithm generalizes the idea of the set-membership NLMS (SM-NLMS) algorithm to include constraint sets constructed from the past input and desired signal pairs.
Stefan Werner, Paulo S R Diniz
exaly   +2 more sources

A variable step-size affine projection algorithm

Digital Signal Processing, 2010
In this paper, we propose a new time-varying step-size for the affine projection (AP) algorithm based on the minimization of the mean-square error (MSE) at each time instant. The step-size is dependent on accessible quantities and, therefore, does not need approximation.
Khaled Mayyas
exaly   +2 more sources

A Stochastic Model for a Pseudo Affine Projection Algorithm

IEEE Transactions on Signal Processing, 2009
This paper presents a statistical analysis of a Pseudo Affine Projection (PAP) algorithm, obtained from the Affine Projection algorithm (AP) for a step size alpha < 1 and a scalar error signal in the weight update. Deterministic recursive equations are derived for the mean weight and for the mean square error (MSE) for a large number of adaptive taps N
J C M Bermudez, N J Bershad
exaly   +2 more sources

Affine Projection Algorithm for Censored Regression

IEEE Transactions on Circuits and Systems II: Express Briefs, 2021
Non-Gaussian colored input signal and censored observation are encountered frequently in many practical applications of adaptive signal processing. Conventional adaptive algorithms will face convergence performance degradation in such cases. To address the issue, the affine projection algorithm for censored regression (CR-APA) is proposed in the paper.
Haiquan Zhao 0001, Feng Zhao, Gen Wang, Lijun Zhou, Pucha Song   +4 more
openaire   +1 more source

The fast affine projection algorithm

1995 International Conference on Acoustics, Speech, and Signal Processing, 2002
This paper discusses a new adaptive filtering algorithm called fast affine projections (FAP). FAP's key features include LMS like complexity and memory requirements (low), and RLS like convergence (fast) for the important case where the excitation signal is speech.
Steven L. Gay, Sanjeev Tavathia
openaire   +1 more source