A robust affine projection algorithm against impulsive noise
JJ Jeong - IEEE Signal Processing Letters, 2020 - ieeexplore.ieee.org
This letter proposes a prefiltered observation-based affine projection algorithm (APA) to
achieve robustness against outliers. The conventional robust algorithm for correlated input …
achieve robustness against outliers. The conventional robust algorithm for correlated input …
Bias-compensated normalized maximum correntropy criterion algorithm for system identification with noisy input
This paper proposes a bias-compensated normalized maximum correntropy criterion
(BCNMCC) algorithm charactered by its low steady-state misalignment for system …
(BCNMCC) algorithm charactered by its low steady-state misalignment for system …
A new regularized recursive dynamic factor analysis with variable forgetting factor and subspace dimension for wireless sensor networks with missing data
The dynamic factor analysis (DFA) is an effective method for reducing the dimension of
multivariate time series measurements in wireless sensor networks (WSNs) for prediction …
multivariate time series measurements in wireless sensor networks (WSNs) for prediction …
Robust set-membership affine-projection adaptive-filtering algorithm
MZA Bhotto, A Antoniou - IEEE Transactions on Signal …, 2011 - ieeexplore.ieee.org
An improved set-membership affine-projection (AP) adaptive-filtering algorithm is proposed.
The new algorithm uses two error bounds that are estimated during the learning phase and …
The new algorithm uses two error bounds that are estimated during the learning phase and …
NLMS algorithm based on a variable parameter cost function robust against impulsive interferences
The conventional step-size scaler (SSS) normalized least-mean-square algorithm is robust
against impulsive noise. However, the constant parameter in the SSS needs to be controlled …
against impulsive noise. However, the constant parameter in the SSS needs to be controlled …
Combined boosted variable step-size affine projection sign algorithm for environments with impulsive noise
The affine projection sign algorithm (APSA) is widely used to alleviate the impact of
impulsive noise on weight updates for adaptive filters. When using the conventional APSA …
impulsive noise on weight updates for adaptive filters. When using the conventional APSA …
Recursive generalized total least squares with noise covariance estimation
S Rhode, F Bleimund, F Gauterin - IFAC proceedings volumes, 2014 - Elsevier
We propose a recursive generalized total least-squares (RGTLS) estimator that is used in
parallel with a noise covariance estimator (NCE) to solve the errors-in-variables problem for …
parallel with a noise covariance estimator (NCE) to solve the errors-in-variables problem for …
A band-dependent variable step-size sign subband adaptive filter
This letter proposes a band-dependent variable step-size sign subband adaptive filter using
the concept of mean-square deviation (MSD) minimization. Since it is difficult to obtain the …
the concept of mean-square deviation (MSD) minimization. Since it is difficult to obtain the …
Enhanced filtered-x least mean M-estimate algorithm for active impulsive noise control
G Sun, M Li, TC Lim - Applied Acoustics, 2015 - Elsevier
Applying the typical active noise control (ANC) algorithm, namely the filtered-x least mean
square (FxLMS) algorithm, to the non-Gaussian impulsive noise will experience difficulty …
square (FxLMS) algorithm, to the non-Gaussian impulsive noise will experience difficulty …
A framework for online investment decisions
AB Paskaramoorthy, TJ Gebbie… - Investment Analysts …, 2020 - Taylor & Francis
The artificial segmentation of the investment management process into silos of human
operators can restrict silos from collectively and adaptively pursuing a unified investment …
operators can restrict silos from collectively and adaptively pursuing a unified investment …