This paper describes a discrete-time wavelet transform for which the Q-factor is easily
specified. Hence, the transform can be tuned according to the oscillatory behavior of the …

Numerous signals arising from physiological and physical processes, in addition to being
non-stationary, are moreover a mixture of sustained oscillations and non-oscillatory …

The dyadic wavelet transform is an effective tool for processing piecewise smooth signals;
however, its poor frequency resolution (its low Q-factor) limits its effectiveness for processing …

The speech emotion recognition accuracy of prosody feature and voice quality feature
declines with the decrease of signal to noise ratio (SNR) of speech signals. In this paper, we …

The tunable Q-factor wavelet transform (TQWT) is a fully-discrete wavelet transform for which
the Q-factor, Q, of the underlying wavelet and the asymptotic redundancy (over-sampling …

In this paper, two interferometric SAR (InSAR) phase-filtering methods are proposed. These
methods are performed in the wavelet domain and employ the simultaneous detection and …

In this paper, a wavelet packet (WP)‐based acoustic feature extraction approach is
proposed for automatic speech emotion recognition (SER). First, the issue of optimising the …

A multi‐resolution framework using auditory perception‐based wavelet packet transform is
invoked in multi‐resolution auditory model (MRAM) and used for non‐intrusive objective …

Definition of sound feature space affects the performance of a sound quality evaluation
(SQE) model. In this paper, two types of sound feature space, which consider …

In this paper, we propose novel sub-band spectral centroid weighted wavelet packet
cepstral coefficients (W-WPCC) for robust speech emotion recognition. Wavelet packet …