Algoritmi eficienti pentru reducerea artefactelor sonore ale aparatelor auditive
Reviste
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Applied Sciences / 2024
Kalman Filter Using a Third-Order Tensorial Decomposition of the Impulse Response
L-M Dogariu, C. Paleologu, J. Benesty, F. Albu
For system identification problems associated with long-length impulse responses, the recently developed
decomposition-based technique that relies on a third-order tensor (TOT) framework represents a reliable
choice. It is based on a combination of three shorter filters, which merge their estimates in tandem with
the Kronecker product. In this way, the global impulse response is modeled in a more efficient manner,
with a significantly reduced parameter space (i.e., fewer coefficients). In this paper, we further develop
a Kalman filter based on the TOT decomposition method. As compared to the recently designed recursive
least-squares (RLS) counterpart, the proposed Kalman filter achieves superior performance in terms of the
main criteria (e.g., tracking and accuracy). In addition, it significantly outperforms the conventional
Kalman filter, while also having a lower computational complexity. Simulation results obtained in the
context of echo cancellation support the theoretical framework and the related advantages.
MDPI link
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IEEE Access / 2023
Prediction Error Method (PEM)-Based Howling Cancellation in Hearing Aids: Can We Do Better
M. T. Akhtar, F. Albu and A. Nishihara
his work develops an effective technique acoustic feedback cancellation (AFC) in the digital hearing aid
(DHAid) devices. The normalized least mean square (NLMS) algorithm-based AFC method may suffer from a
biased convergence. The biased convergence problem is considerably resolved by the prediction error method
(PEM)-based AFC (PEM-AFC); however, it may demonstrate a slow convergence. The proposed method's main
structure is based two adaptive filters. The main adaptive AFC filter receives its input from the DHAid
receiver signal, while the auxiliary AFC filter is activated by a probe signal. The main idea is to apply a
lattice filtering-based pre-processing for decorrelation in the main AFC filter's update equation.
This produces a Newton-like adaptive algorithm with fast convergence. Additionally, ...
IEEE link
D. R. Kothadiya, C. M. Bhatt, H. Kharwa, F. Albu,
Hybrid InceptionNet based Enhanced Architecture for Isolated Sign Language Recognition
IEEE Access, 2024,
IEEE link
D. Coltuc, H.G. Coanda,
Reversible Contrast Enhancement by Histogram Specification and Very Low Distortion Data Hiding
IEEE Transactions on Information Forensics and Security, 2023,
IEEE link
S. Radhika, F. Albu, A. Chandrasekar,
Robust Exponential Hyperbolic Sine Adaptive Filter for Impulsive Noise Environments
IEEE Transactions on Circuits and Systems II: Express Briefs, 2022,
IEEE link
P.G. Patil, T.H. Jaware, S.P. Patil, R.D. Badgujar, F. Albu, I. Mahariq, B. Al-Sheikh, C. Nayak,
Marathi Speech Intelligibility Enhancement using I-AMS based Neuro-Fuzzy Classifier Approach for Hearing Aid Users
IEEE Access, 2022,
IEEE link
Conferinte
F. Albu, H.G. Coanda, I. Caciula, M. Ionita,
A New Tanh-based Algorithm for Acoustic Feedback Cancellation
acceptat la TELFOR 2024
Y.-X. Weng, Y.-R. Chien, F. Albu,
Comparative Study on Reference Signal for Data Selection Algorithms in PEM-AFC Framework
acceptat la ISPACS 2024
F. Albu, L.T.T. Tran,
A New Combined-Step-Size Based Algorithm for Two-Microphone Acoustic Feedback Cancellation Systems
acceptat la ELECOM 2024
F. Albu, I. Caciula and D. Hagiescu,
New Affine Projection Tanh-Based Algorithms for Active Impulsive Noise Control
acceptat la ATOMS 2024
F. Albu, Y.-R. Chien, L. T. T. Tran, Y.-X. Weng,
Correntropy-based Data-Selective Adaptive Filtering Algorithms for Acoustic Feedback Cancellation
Proc. of ISWCS 2024, July 2024,
IEEE link
L.T.T. Tran, F. Albu, H. Nguyen and S. Nordholm,
Proportionate NLMS with Variable Step-size for Adaptive Feedback Cancellation in Hearing Aids
APSIPA 2023, Taipei, Taiwan, 2023,
IEEE link
R.-A. Dobre, C. Paleologu, J. Benesty, F. Albu,
On the Decomposition Parameter of the RLS Algorithm Based on the Nearest Kronecker Product
15th International Conference on Electronics, Computers and Artificial Intelligence (ECAI), 2023,
IEEE link
F. Albu, M. Ionita,
Efficient Affine Projection Tanh Algorithm for Acoustic Feedback Cancellation
31st European Signal Processing Conference (EUSIPCO), 2023,
IEEE link
I.D. Ficiu, C.-L. Stanciu, C. Paleologu, and F. Albu,
On the Performance of a Low-Complexity Data-Reuse RLS Algorithm for Stereophonic Acoustic Echo Cancellation
The Eighteenth International Conference on Digital Telecommunications, 2023,
IEEE link
F. Albu, L. Tran, S. Radhika, A. Chandrasekar,
Acoustic Feedback Cancellation using the Variable Step Size Affine Projection Tanh Algorithm
IEEE Statistical Signal Processing Workshop (SSP), 2023,
IEEE link
C.L.Stanciu, C. Paleologu, J. Benesty, R.L. Costea, L.M. Dogariu, S. Ciochina,
Iterative Wiener Filter Using a Kronecker Product Decomposition and the Coordinate Descent Method
International Symposium on Signals, Circuits and Systems (ISSCS), 2023,
IEEE link
F. Albu, H.G. Coanda, D. Coltuc,
Low Complexity Acoustic Feedback Cancellation Algorithm with Frequency Shifting and Dichotomous Coordinate Descent Iterations
International Symposium on Electronics and Telecommunications, 2022,
IEEE link
