Felix Albu

Valahia University of Targoviste

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Constantin Paleologu

Universitatea Națională de Știință și Tehnologie Politehnica București

Jacob Benesty

Université du Québec à Montréal

Yingsong Li

Anhui University

Silviu Ciochină

Universitatea Națională de Știință și Tehnologie Politehnica București

Kiyoshi Nishikawa

Tokyo Metropolitan University

Henri Coandă

Valahia University of Targoviste

Yanyan Wang

Jiangsu University of Science and Technology

Sven Nordholm

Curtin University

Linh T. T. Tran

Posts and Telecommunications Institute of Technology

Dinu Coltuc

Valahia University of Targoviste

Cooperative Institutions

Chinese Academy of Sciences

Universitatea Națională de Știință și Tehnologie Politehnica București

Valahia University of Targoviste

University of Chinese Academy of Sciences

University of Bucharest

Queensland University of Technology

Zhejiang University

Huazhong University of Science and Technology

Fudan University

University of Queensland

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ICSP 2018 Author Index

2022 16th IEEE International Conference on Signal Processing (ICSP) (2018)

Abid Noor Usman Ahmad Ahmed Akande Ai Jianhang Felix Albu

10.1109/icsp.2018.8652328

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New Proportionate Affine Projection Algorithm

Felix Albu

A new proportionate-type affine projection algorithm with intermittent update of the weight coefficients is proposed. It takes into account the “history” of the proportionate factors and uses a fast recursive filtering procedure. Also, the effect of using dichotomous coordinate descent iterations is investigated. Simulation results indicate that the proposed algorithm has improved performance and much lower computational complexity than other proportionate affine projection algorithms. Therefore it represents a practical solution for acoustic echo cancellation systems.

Coordinate Descent

10.1115/ncad2012-0134

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Citations (7)

Low-Complexity Non-Uniform Penalized Affine Projection Algorithms for Active Noise Control

Zenodo (CERN European Organization for Nuclear Research) (2018)

Felix Albu Yingsong Li Yanyan Wang

Active Noise Control

10.5281/zenodo.1159456

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Citations (1)

Comparative Study on Reference Signal for Data Selection Algorithms in PEM-AFC Framework

2021 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS) (2024)

Yuxiang Weng Ying‐Ren Chien Felix Albu

SIGNAL (programming language)

10.1109/ispacs62486.2024.10869163

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Hybrid InceptionNet Based Enhanced Architecture for Isolated Sign Language Recognition

IEEE Access (2024)

Deep Kothadiya Chintan Bhatt Hena Kharwa Felix Albu

Sign language is a common way of communication for people with hearing and/or speaking impairments. AI-based automatic systems for sign language recognition are very desirable since they can reduce barriers between people and improve Human-Computer Interaction (HCI) for the impaired community. Automatically recognizing sign language is still an open challenge since the sign language itself has a complex structure to convey messages. The key role is played by the isolated signs that refer to single gestures carried out by hand movements. In the last decade, research has improved the automatic recognition of isolated sign language from videos using machine learning approaches. Starting from a comprehensive analysis of existing recognition techniques, with an in-depth focus on existing public datasets, the study proposes an advanced convolution-based hybrid Inception architecture to improve the recognition accuracy of isolated signs. The main contributions are to enhance InceptionV4 with optimized backpropagation through uniform connections. Besides, an ensemble learning framework with different Convolution Neural Networks has been also introduced and exploited to further increase the recognition accuracy and robustness of isolated sign language recognition systems. The effectiveness of the proposed learning approaches has been proved on a benchmark dataset of isolated sign language gestures. The experimental results demonstrate that the proposed ensemble model outperforms sign identification, yielding higher recognition accuracy (98.46%) and improved robustness.

Robustness

10.1109/access.2024.3420776

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Citations (2)

Proportionate Algorithms for Two-Microphone Active Feedback Cancellation

Zenodo (CERN European Organization for Nuclear Research) (2015)

Felix Albu Renato Nakagawa Nordholm Sven

Active Noise Control

10.5281/zenodo.54329

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Adaptive recovery of motion blur point spread function from differently exposed images

Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE (2009)

Felix Albu Corneliu Florea Alexandru Drîmbărean Adrian Zamfir

Motion due to digital camera movement during the image capture process is a major factor that degrades the quality of images and many methods for camera motion removal have been developed. Central to all techniques is the correct recovery of what is known as the Point Spread Function (PSF). A very popular technique to estimate the PSF relies on using a pair of gyroscopic sensors to measure the hand motion. However, the errors caused either by the loss of the translational component of the movement or due to the lack of precision in gyro-sensors measurements impede the achievement of a good quality restored image. In order to compensate for this, we propose a method that begins with an estimation of the PSF obtained from 2 gyro sensors and uses a pair of under-exposed image together with the blurred image to adaptively improve it. The luminance of the under-exposed image is equalized with that of the blurred image. An initial estimation of the PSF is generated from the output signal of 2 gyro sensors. The PSF coefficients are updated using 2D-Least Mean Square (LMS) algorithms with a coarse-to-fine approach on a grid of points selected from both images. This refined PSF is used to process the blurred image using known deblurring methods. Our results show that the proposed method leads to superior PSF support and coefficient estimation. Also the quality of the restored image is improved compared to 2 gyro only approach or to blind image de-convolution results.

Deblurring

Point spread function

Motion blur

Optical transfer function

10.1117/12.839678

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Citations (8)

The Hybrid Simplified Kalman Filter for Adaptive Feedback Cancellation

2018 International Conference on Communications (COMM) (2018)

Felix Albu Linh T. T. Tran Sven Nordholm

Numerous adaptive feedback cancellation (AFC) algorithms are used in open-fitting and in-ear hearing aid devices (HADs) in order to avoid the possible annoying howling sounds. Recently, a hybrid AFC (H-AFC) scheme that shortened the recovering time from howling was proposed. It consists of a switched combination adaptive filter controlled by a stability detector that chooses either the standard normalized least mean squares (NLMS) algorithm or the prediction-error method (PEM) NLMS algorithm. In this paper a hybrid simplified Kalman filter (H -SKF) that uses a modified stability detector and a switch between NLMS and (PEM) SKF algorithms is proposed. It is shown that the proposed approach improves the convergence properties and shortens the howling periods for both speech and music signals compared with the hybrid NLMS (H-NLMS) algorithm.

10.1109/iccomm.2018.8484823

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Citations (13)

Memory improved proportionate affine projection sign algorithm

Electronics Letters (2012)

Felix Albu Hon Keung Kwan

A new proportionate affine projection sign algorithm is proposed for network echo cancellation. It uses a recursive procedure and takes into account the previously computed proportionate coefficients. It is shown that the proposed algorithm can obtain a lower steady-state misalignment than other affine projection sign algorithms for different echo paths, impulsive interferences and step sizes.

Echo (communications protocol)

10.1049/el.2012.2403

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Citations (44)

Low Complexity Global Motion Estimation Techniques for Image Stabilization

Felix Albu Corneliu Florea Adrian Zamfir Alexandru Drîmbărean

Two new global motion estimation methods are proposed. The first one, called sign projection (SP) is obtained by modifying the integral projection estimation method using two thresholds for pixel values. The second method, called binary incrementation (BI), is obtained by using only one threshold for generating binary vectors from two images. It is shown that the proposed approaches provide similar motion estimation accuracy with the integral projection (IP) and phase correlation (PC) methods. Also, they have reduced numerical complexity and memory requirements, leading to shorter processing times as well as lower power consumption. The technique is particularly suitable for implementation in consumer devices such as digital video cameras.

Image stabilization

Quarter-pixel motion

10.1109/icce.2008.4587929

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Citations (13)