Article
Engineering, Multidisciplinary
Tong Liu, YuCheng Jin, Shuo Wang, QinWen Zheng, Guoan Yang
Summary: This paper proposes a denoising method of acoustic emission (AE) signals based on the combination of autoencoder and wavelet packet decomposition (AE-WPD) to address the problem of weak AE signals being submerged in strong background noise in the actual operating conditions of the engine. The proposed method decomposes the engine background noise signals and noise-containing fault AE signals using wavelet packet, enhances the local analysis capability of the autoencoder, and analyzes the differences between the background noise signals and the noise-containing fault signals. The experimental results show that the proposed AE-WPD method outperforms other denoising methods at different signal-to-noise ratios (SNR).
STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL
(2023)
Article
Physics, Multidisciplinary
Tiankai Sun, Xingyuan Wang, Kejun Zhang, Daihong Jiang, Da Lin, Xunguang Jv, Bin Ding, Weidong Zhu
Summary: In this paper, a new method of medical image authentication based on wavelet packet and energy entropy is proposed. The method measures the energy of detail information and mines local details to highlight valuable information. Experiments show that the method has good robustness against various attacks.
Article
Chemistry, Analytical
Yunbo Shi, Juanjuan Zhang, Jingjing Jiao, Rui Zhao, Huiliang Cao
Summary: This paper explores wavelet threshold denoising and wavelet packet threshold denoising in wavelet analysis for high-G accelerometers. Through numerical simulation and testing, it provides better methods for dynamic calibration and parameter extraction of high-G accelerometers.
Article
Acoustics
Zilong Zhou, Jinkun Zhang, Ruishan Cheng, Yichao Rui, Xin Cai, Lu Chen
Summary: The study proposes a denoising method based on CEEMDAN and WPTD to reduce the noise of blasting vibration signals. The method decomposes the signals and applies wavelet packet threshold denoising to effectively reduce noise and preserve vibration components.
Article
Engineering, Electrical & Electronic
Yaru Yue, Chengdong Chen, Xiaoyuan Wu, Xiaoguang Zhou
Summary: This article proposes an effective method for denoising ECG signals, which combines the ensemble empirical mode decomposition (EEMD), empirical mode decomposition (EMD), and wavelet packet (WP) techniques. The ECG signal is decomposed using EEMD, and then the highest frequency component is decomposed using EMD for a second time, and the high frequency components obtained from the second decomposition are decomposed and reconstructed using WP for a third time. The processed signal components are then fused to obtain the denoised ECG signal. Various evaluation metrics such as signal-to-noise ratio (SNR), mean square error (MSE), root mean square error (RMSE), and normalized cross correlation coefficient (R) are used to assess the noise reduction algorithm.
IET SIGNAL PROCESSING
(2023)
Article
Mathematics, Applied
Amir Averbuch, Pekka Neittaanmaki, Valery Zheludev
Summary: The paper introduces a versatile library of analytic and quasi-analytic complex-valued wavelet packets (WPs) originating from discrete splines of arbitrary orders. The real parts of the quasi-analytic WPs are the regular spline-based orthonormal WPs, while the imaginary parts are the complementary orthonormal WPs that are antisymmetric. The tensor products of 1D quasi-analytic WPs provide a variety of 2D WPs oriented in multiple directions. The presented computational scheme allows for fast and easy implementation of the WP transforms. The WPs have been proven to be efficient in signal/image processing applications such as image restoration with additive noise or missing pixels by up to 90%.
APPLIED AND COMPUTATIONAL HARMONIC ANALYSIS
(2023)
Article
Chemistry, Analytical
Zengyuan Liu, Xiujuan Feng, Chengliang Dong, Mingzhi Jiao
Summary: This paper proposes an analytical method of PID signal with the adaptive weight of small wave packet decomposition node to suppress noise caused by the photoionization detector monitoring signal of VOCs. The PID signal is transmitted to the upper machine software through a single-chip microcontroller. By comparing with traditional wavelet packet denoising method, the superiority of the proposed method in denoising signals of PID is verified. This method lays a foundation for accurate VOCs monitoring in a high humidity environment by eliminating noise generated by local non-uniformity on the photocathode surface of PID ionization chamber.
Article
Chemistry, Analytical
Shouhua Wang, Shuaihu Wang, Xiyan Sun
Summary: This study proposes a novel method that combines improved complete ensemble empirical mode decomposition with adaptive noise and adaptive wavelet packet threshold denoising to reduce multipath error in GNSS-RTK measurements. The method decomposes the data, selects relevant components, and applies denoising techniques to improve the accuracy of the multipath error correction model. The results demonstrate that the proposed algorithm outperforms other filtering algorithms in terms of multipath error correction.
Article
Computer Science, Theory & Methods
Amir Averbuch, Pekka Neittaanmaki, Valery Zheludev, Moshe Salhov, Jonathan Hauser
Summary: This paper presents an image denoising algorithm that combines a directional quasi-analytic wavelet packets (qWPs) method with the popular BM3D algorithm. The proposed methodology updates the input and output of the two algorithms through multiple iterations, combining the capabilities of capturing edges and fine texture patterns and utilizing the sparsity and self-similarity properties. Experimental results show that the combined algorithm is competitive with state-of-the-art denoising algorithms.
MULTIDIMENSIONAL SYSTEMS AND SIGNAL PROCESSING
(2022)
Article
Engineering, Biomedical
Chamandeep Kaur, Amandeep Bisht, Preeti Singh, Garima Joshi
Summary: This study compares the effectiveness of physiological signal denoising methods based on DWT and WPT combined with VMD in removing artifact contamination in EEG signals of depression. The results show that VMD-DFA-WPT is the optimal approach, making a significant contribution to denoising research in the neuroengineering field.
BIOMEDICAL SIGNAL PROCESSING AND CONTROL
(2021)
Article
Computer Science, Information Systems
Tie Zhang, Yuanhang Yang, Yanbiao Zou, Jun Zhao, Shenghong Wu
Summary: This study proposes a prediction method for human defecation based on deep residual attention network using bowel sounds. The method shows high accuracy in predicting defecation for patients with fecal incontinence, which can help them prepare in advance and prevent the occurrence of incontinence-associated dermatitis.
MULTIMEDIA TOOLS AND APPLICATIONS
(2023)
Article
Computer Science, Artificial Intelligence
Huanhai Yang, Shue Liu
Summary: This study proposes a sea cucumber aquaculture water quality prediction model using an improved whale optimization algorithm to optimize the neural network. The experimental results show that the model has good accuracy and generalization performance.
PEERJ COMPUTER SCIENCE
(2022)
Article
Computer Science, Information Systems
Kamil Adam Kaminski, Andrzej Piotr Dobrowolski, Zbigniew Piotrowski, Przemyslaw Scibiorek
Summary: This paper presents a voice biometrics system implemented in a web application for two-factor authentication user login. It provides a detailed description of the system's internal modules, performance testing, and parameter adjustment, exploring the effectiveness and applicability of the system.
Article
Computer Science, Information Systems
Vera Wati, Kusrini Kusrini, Hanif Al Fatta, Nitika Kapoor
Summary: This study focuses on using biometric techniques and facial recognition systems for attendance marking, achieving high accuracy in both individual and group face recognition. Good results were obtained using Viola-Jones method for face detection, Gabor Wavelet for feature extraction, and Template Matching in face recognition.
MULTIMEDIA TOOLS AND APPLICATIONS
(2021)
Article
Engineering, Mechanical
Yanpeng Hao, Lida Zhu, Boling Yan, Shaoqing Qin, Dayu Cui, Hao Lu
Summary: This paper proposes an adaptive denoising model based on WPD and RLSVFF, as well as a chatter detection method based on multi-source signals fusion using WPD and power entropy, to address the issues caused by unstable cutting in the machining of thin-walled parts. The study shows that these methods can more reliably detect early chatter and different levels of chatter compared to traditional methods.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
(2022)
Article
Engineering, Electrical & Electronic
Islam Mansour, Mohamed Aboualalaa, Ahmed Allam, Adel B. Abdel-Rahman, Mohammed Abo-Zahhad, Ramesh K. Pokharel
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS II-EXPRESS BRIEFS
(2018)
Article
Computer Science, Information Systems
Tonny Ssettumba, Ahmed H. Abd El-Malek, Maha Elsabrouty, Mohammed Abo-Zahhad
IEEE INTERNET OF THINGS JOURNAL
(2019)
Article
Chemistry, Analytical
Ahmed Gomaa, Moataz M. Abdelwahab, Mohammed Abo-Zahhad, Tsubasa Minematsu, Rin-ichiro Taniguchi
Article
Engineering, Electrical & Electronic
Ahmad Abdalrazik, Adel B. Abdel-Rahman, Ahmed Allam, Mohammed Abo-Zahhad
INTERNATIONAL JOURNAL OF MICROWAVE AND WIRELESS TECHNOLOGIES
(2020)
Article
Engineering, Electrical & Electronic
Islam Mansour, Mohamed Aboualalaa, Adel Barakat, Ahmed Allam, Adel B. Abdel-Rahman, Mohammed Abo-Zahhad, Ramesh K. Pokharel
IEEE MICROWAVE AND WIRELESS COMPONENTS LETTERS
(2020)
Proceedings Paper
Telecommunications
Kenneth Okello, Ahmed H. Abd El-Malek, Maha Elsabrouty, Mohammed Abo-Zahhad
2019 INTERNATIONAL CONFERENCE ON WIRELESS AND MOBILE COMPUTING, NETWORKING AND COMMUNICATIONS (WIMOB)
(2019)
Proceedings Paper
Telecommunications
Kenneth Okello, Ahmed H. Abd El-Malek, Maha Elsabrouty, Mohammed Abo-Zahhad
2019 INTERNATIONAL CONFERENCE ON WIRELESS AND MOBILE COMPUTING, NETWORKING AND COMMUNICATIONS (WIMOB)
(2019)
Proceedings Paper
Telecommunications
Mennatallah A. Rostom, Ahmed H. Abd El-Malek, Maha Elsabrouty, Mohammed Abo-Zahhad
2019 INTERNATIONAL CONFERENCE ON WIRELESS AND MOBILE COMPUTING, NETWORKING AND COMMUNICATIONS (WIMOB)
(2019)
Article
Computer Science, Information Systems
Mohamed Aboualalaa, Islam Mansour, Hala Elsadek, Adel B. Abdel-Rahman, Ahmed Allam, Mohammed Abo-Zahhad, Kuniaki Yoshitomi, Ramesh K. Pokharel
Proceedings Paper
Acoustics
Sherif Seha, Georgios Papangelakis, Dimitrios Hatzinakos, Ali Shahidi Zandi, Felix J. E. Comeau
2019 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING (ICASSP)
(2019)
Proceedings Paper
Computer Science, Interdisciplinary Applications
Malissa Maria Mahmud, Chandra Reka Ramachandiran, Othman Ismail
2019 10TH INTERNATIONAL CONFERENCE ON E-EDUCATION, E-BUSINESS, E-MANAGEMENT AND E-LEARNING (IC4E 2019)
(2019)
Proceedings Paper
Engineering, Electrical & Electronic
Mohamed Aboualalaa, Islam Mansour, Mohamed Mansour, Adel Bedair, Ahmed Allam, Mohammed Abo-Zahhad, Hala Elsadek, Kuniaki Yoshitomi, Ramesh K. Pokharel
2018 IEEE WIRELESS POWER TRANSFER CONFERENCE (WPTC)
(2018)
Proceedings Paper
Telecommunications
Tonny Ssettumba, Ahmed H. Abd El-Malek, Maha Elsabrouty, Mohamed Abo-Zahhad
2018 14TH INTERNATIONAL CONFERENCE ON WIRELESS AND MOBILE COMPUTING, NETWORKING AND COMMUNICATIONS (WIMOB 2018)
(2018)
Proceedings Paper
Telecommunications
Abdelsalam Sayed-Ahmed, Maha Elsabrouty, Ahmed H. Abd El-Malek, Mohammed Abo-Zahhad
2018 14TH INTERNATIONAL CONFERENCE ON WIRELESS AND MOBILE COMPUTING, NETWORKING AND COMMUNICATIONS (WIMOB 2018)
(2018)
Proceedings Paper
Computer Science, Information Systems
Ahmed Gomaa, Moataz M. Abdelwahab, Mohammed Abo-Zahhad
2018 IEEE 61ST INTERNATIONAL MIDWEST SYMPOSIUM ON CIRCUITS AND SYSTEMS (MWSCAS)
(2018)
