Empirical mode decomposition for adaptive AM-FM analysis of speech: A review
This work reviews the advancements in the non-conventional analysis of speech signals,
particularly from an AM-FM analysis point of view. The benefits of such an analysis, as …
particularly from an AM-FM analysis point of view. The benefits of such an analysis, as …
Parkinson disease detection using energy direction features based on EMD from voice signal
T Zhang, Y Zhang, H Sun, H Shan - Biocybernetics and Biomedical …, 2021 - Elsevier
Voice disorders are one of the incipient symptoms of Parkinson's disease (PD). Recent
studies have shown that approximately 90% of PD patients suffer from vocal disorders …
studies have shown that approximately 90% of PD patients suffer from vocal disorders …
Underwater acoustic target recognition: A combination of multi-dimensional fusion features and modified deep neural network
A method with a combination of multi-dimensional fusion features and a modified deep
neural network (MFF-MDNN) is proposed to recognize underwater acoustic targets in this …
neural network (MFF-MDNN) is proposed to recognize underwater acoustic targets in this …
Denoising of ECG signal by non-local estimation of approximation coefficients in DWT
This paper presents an ECG denoising technique using merits of discrete wavelet transform
(DWT) and non-local means (NLM) estimation. The NLM-based approach is quite effective …
(DWT) and non-local means (NLM) estimation. The NLM-based approach is quite effective …
An improved EMD method for modal identification and a combined static-dynamic method for damage detection
J Yang, P Li, Y Yang, D Xu - Journal of Sound and Vibration, 2018 - Elsevier
Empirical mode decomposition (EMD) is a highly adaptable signal processing method.
However, the EMD approach has certain drawbacks, including distortions from end effects …
However, the EMD approach has certain drawbacks, including distortions from end effects …
An efficient ECG denoising technique based on non-local means estimation and modified empirical mode decomposition
Noninvasive nature of Electrocardiogram (ECG) signal makes it widely accepted for cardiac
diagnosis. During the process of data acquisition, ECG signal is generally corrupted by a …
diagnosis. During the process of data acquisition, ECG signal is generally corrupted by a …
Difference equation based empirical mode decomposition with application to separation enhancement of multi-fault vibration signals
Empirical mode decomposition (EMD) has been applied to various applications in signal
processing. However, EMD is susceptible to close mode characteristic frequencies and …
processing. However, EMD is susceptible to close mode characteristic frequencies and …
Replay spoof detection for speaker verification system using magnitude-phase-instantaneous frequency and energy features
KP Bharath, MR Kumar - Multimedia Tools and Applications, 2022 - Springer
Spoofing attack detection is one of the essential components in automatic speaker
verification (ASV) systems. The success of\ASV-2015 shows a great perspective by …
verification (ASV) systems. The success of\ASV-2015 shows a great perspective by …
Eliminating the end effect of empirical mode decomposition using a cubic spline based method
W Xu, SH Chen, M Wang, W Yang, L Wang - Digital Signal Processing, 2021 - Elsevier
The empirical mode decomposition (EMD) is a method that is commonly applied to extract
the intrinsic mode functions (IMFs) of a signal by a sifting process, which requires imposing …
the intrinsic mode functions (IMFs) of a signal by a sifting process, which requires imposing …
Improved empirical mode decomposition using optimal recursive averaging noise estimation for speech enhancement
A Bouchair, SA Selouani, A Amrouche… - Circuits, Systems, and …, 2022 - Springer
In this paper, a new approach for robust speech enhancement based on improved
ensemble empirical mode decomposition (EMD) using optimized log-spectral amplitude …
ensemble empirical mode decomposition (EMD) using optimized log-spectral amplitude …