Results 71 to 80 of about 707 (201)

Synchrosqueezing Transform in Biomedical Applications: A mini review

, 2020
2020 Medical Technologies Congress, TIPTEKNO 2020 -- 19 November 2020 through 20 November 2020 -- 166140Time-frequency representation (TFR) provides a good analysis for periodic signals; however, they are insufficient for nonstationary signals.
Akan A., Değirmenci, Duygu, Mehmet Akif Ozdemir, Özdemir, Mehmet Akif, Yalçın, Melike, Duygu Degirmenci, Melike Yalcin, Aydin Akan   +7 more
core   +1 more source

Chirp Rate Estimation of LFM Signals Based on Second-Order Synchrosqueezing Transform

, 2023
For the problem of low time-frequency aggregation of the short-time Fourier transform (STFT), which causes the parameter estimation performance degradation of linear frequency modulation (LFM) signals at low signal-to-noise ratio (SNR), second-order ...
Kanglin Yu, Gangyi Zhai, Jianjiang Zhou, Jiangtao Li   +3 more
core   +1 more source

AI‐Based Approaches for Analyzing EEG Signals to Identify Epileptic Seizures: A Survey

Applied Computational Intelligence and Soft Computing, Volume 2026, Issue 1, 2026.
Electroencephalography (EEG) is a fundamental tool for monitoring brain activity and is widely used in the diagnosis and management of epilepsy. With the growing prevalence of epilepsy and the limitations of manual EEG interpretation, artificial intelligence (AI) techniques, particularly machine learning (ML) and deep learning (DL), have gained ...
Daniel Moges Tadesse, Olyad Mulugeta Gonfa, Naod Demissie Workafesku, Eshtaol Girma Bayessa, Samuel Rahimeto Kebede, Taye Girma Debele, Fraol Gelana Waldamichael, Hiwot Taye Mekonnen, Tariku Fekadu Assore, Medina Fedlu Mehammed, Paulo Sergio Marques dos Santos   +10 more
wiley   +1 more source

Second-order Synchrosqueezing Transform: The Wavelet Case, Comparisons and Applications

, 2018
This paper addresses the analysis of the time-frequency technique so-called the second-order synchrosqueezing transform derived from continuous wavelet transform of multicomponent AM-FM signals.
Pham, Duong-Hung, Meignen, Sylvain
core   +1 more source

Application of high-resolution processing in seismic data based on an improved synchrosqueezing transform

Frontiers in Earth Science, 2022
This study proposes a high-resolution processing technique for seismic data based on the improved synchrosqueezing transform (SST). The SST rearranges the complex spectrum of the wavelet transform along the frequency axis.
Chen Yu, Shuyan Wang, Lifang Cheng
doaj   +1 more source

EEGCo‐Diff: Manifold‐Guided Diffusion and an Oscillation‐Aware Classifier for Sample‐Efficient EEG Depression Detection

International Journal of Intelligent Systems, Volume 2026, Issue 1, 2026.
Depression is a serious mental disorder, and timely detection and treatment are crucial. Electroencephalography (EEG), as a noninvasive tool directly reflecting brain activity, is suitable for objective depression detection. However, due to difficulty in acquiring depression EEG data, public datasets suffer from limited sample sizes and insufficient ...
Huang Huang, Xinhui Li, Minchao Wu, Guowang Zhuang, Jun Jin, Zhao Lv, Richard Murray   +6 more
wiley   +1 more source

A Topological Signal Processing‐Based Time–Frequency Analysis Algorithm

Structural Control and Health Monitoring, Volume 2026, Issue 1, 2026.
A topological signal processing framework is introduced to enhance the noise robustness of synchrosqueezing‐based time–frequency (TF) analysis. Designed as a postprocessing procedure applicable to any TF representation, the method produces a more energy‐concentrated and sparse TF spectrum. The approach begins with the short‐time Fourier transform (STFT)
Peng Guo, Dongsheng Li, Mohammad Rezwan Habib   +2 more
wiley   +1 more source

Acoustic Emission Signal Detection for Internal Valve Leakage in Liquid‐Filled Pipelines Using Kernel Principal Component Analysis

Shock and Vibration, Volume 2026, Issue 1, 2026.
To detect internal valve leakage in liquid‐filled pipelines, a method using kernel principal component analysis (KPCA) is proposed to analyze acoustic emission (AE) signals for leakage detection. Time‐frequency analysis and root mean square (RMS) values of AE signals across various frequency bands reveal that the dominant frequency band for valve ...
Runlin Zhang, Xueming He, Chao Wu, Lei Wang, Di Wu, Arnab Biswas   +5 more
wiley   +1 more source

Wide‐area damping control in renewable integrated power systems: A review on recent achievements and new challenges

Energy Conversion and Economics, Volume 6, Issue 6, Page 341-358, December 2025.
Abstract Low‐frequency oscillations (LFOs) remain a major obstacle to maintaining stable dynamic performance in power systems with high levels of renewable energy integration. In particular, inter‐area LFOs have emerged as a critical concern in large, interconnected grids.
Linglin Meng, Haixin Wang, Shengyang Lu, Zihao Yang, Zhe Chen, Hassan Bevrani, Sharara Rehimi, Mingchao Xia, Dan Doru Micu, Fausto Pedro García Márquez, Junyou Yang   +10 more
wiley   +1 more source

Source Separation Based on Non-Negative Matrix Factorization of the Synchrosqueezing Transform

, 2021
International audienceIn this paper, we consider the problem of single channel blind source separation, for which a very common and effective solution consists of applying non-negative matrix factorization to the spectrogram of the mixture.
Sylvain Meignen, Oberlin, Thomas, Singh, Neha, Neha Singh, Meignen, Sylvain, Thomas Oberlin   +5 more
core   +1 more source