It is well known that time-frequency analysis (TFA) characterises signals in time-frequency
plane. Theoretically, traditional non-parameterised TFA can analyze any signal, but it is …

In some applications, it is necessary to analyze multi-component non-stationary signals
whose components severely overlap in the time-frequency (TF) domain. Separating those …

Many odontocetes produce frequency modulated tonal calls known as whistles. The ability
to automatically determine time× frequency tracks corresponding to these vocalizations has …

This work considers automated multi target tracking of odontocete whistle contours. An
adaptation of the Gaussian mixture probability hypothesis density (GM-PHD) filter is …

Frequency modulated signals appear in many applied disciplines, including geology,
communication, biology and acoustics. They are naturally multicomponent, ie, they consist of …

Dolphins and whales use tonal whistles for communication, and it is known that frequency
modulation encodes contextual information. An automated mathematical algorithm could …

This work presents an open-source matlab software package for exploiting recent advances
in extracting tonal signals from large acoustic data sets. A whistle extraction algorithm …

Instantaneous frequency (IF) is a fundamental feature in multicomponent signals analysis
and its estimation is required in many practical applications. This goal can be successfully …

Ridge curves retrieval in time–frequency (TF) domains is fundamental in many application
fields as they convey most of information concerning the instantaneous frequencies of non …

This paper proposes an adaptive filter-based method for detection and frequency estimation
of whistle calls, such as the calls of birds and marine mammals, which are typically analyzed …