Time–frequency representation (TFR) is useful for non‐stationary signal analysis as it
provides information about the time‐varying frequency components. This study proposes a …

Feature extraction is an essential aspect of electroretinogram (ERG) signal analysis. The
extracted features are beneficial to analyze the signal further and compress the signal for …

The fractional Fourier transform involving a rotation angle as an additional variable is
capable to transform a signal to any fractional Fourier domain in between time and …

Cavitation detection is important in ensuring the reliability of fluid machinery, such as pumps.
Vibration signal analysis is widely accepted as an effective tool in condition monitoring and …

Faces in the wild may contain pose variations, age changes, and with different qualities
which significantly enlarge the intra-class variations. Although great progresses have been …

Emotion recognition especially negative emotion detection has become a topic of
considerable concern in both scientific research and practical applications. The inherent …

Motivation Sputum in the trachea is hard to expectorate and detect directly for the patients
who are unconscious, especially those in Intensive Care Unit. Medical staff should always …

Person re-identification is an important task in forensics applications. Most existing person re-
identification methods focus on matching persons captured by different true-color cameras …

Sound is an essential element of human relationships and communication. The sound
recognition process involves three phases: signal preprocessing, feature extraction, and …

This paper proposes an automatic method for extraction of useful information content from
time-frequency distributions of nonstationary signals heavily corrupted by additive noise …