A state-of-the-art survey on noise removal in a non-stationary signal using adaptive finite impulse response filtering: challenges, techniques, and applications
NK Yadav, A Dhawan, M Tiwari… - International Journal of …, 2024 - Taylor & Francis
An adaptive finite impulse response (FIR) filter is a key technique to remove noise in non-
stationary signals. With the rapid development of the various adaptive algorithms, it is both …
stationary signals. With the rapid development of the various adaptive algorithms, it is both …
[PDF][PDF] An information rich subspace separation for non-stationary signal classification
TA Ratnayake, DBW Nettasinghe… - Journal of the …, 2016 - account.jnsfsl.sljol.info
This paper proposes a novel automated approach for the classification of highly non-
stationary signals based on a non-principal component analysis (non-PCA) methodology …
stationary signals based on a non-principal component analysis (non-PCA) methodology …
Hierarchical method to classify emotions in speech signals
B Boragolla, FF Farook, H Herath… - … on Information and …, 2016 - ieeexplore.ieee.org
Recently studies have been performed on spectral features such as Mel Frequency Cepstral
Coefficients (MFCC) and Linear Predictor Cepstral Coefficients (LPCC) for speech emotion …
Coefficients (MFCC) and Linear Predictor Cepstral Coefficients (LPCC) for speech emotion …