Bird song recognition plays an important function in ecosystem balance monitoring,
biodiversity detection, and biodiversity conservation. Due to the complexity of the natural …

Rotationally symmetric systems can exhibit acoustic fluctuations in the azimuthal direction. In
experimental works the nature (standing or spinning) of these fluctuations is often described …

Many phenomena are described by bivariate signals or bidimensional vectors in
applications ranging from radar to EEG, optics and oceanography. We show that an …

The generalizations of instantaneous frequency and instantaneous bandwidth to a bivariate
signal are derived. These are uniquely defined whether the signal is represented as a pair of …

The ideas of instantaneous amplitude and phase are well understood for signals with real-
valued samples, based on the analytic signal which is a complex signal with one-sided …

A novel approach toward the spectral analysis of stationary random bivariate signals is
proposed. Unlike existing approaches, the proposed framework exhibits a natural link …

There are three equivalent ways of representing two jointly observed real-valued signals: as
a bivariate vector signal, as a single complex-valued signal, or as two analytic signals …

In this paper, we propose a novel birdsong classification network, MFF-Net (Multi-scale
Feature Fusion Network), which enhances classification performance through multi-scale …

Rotary analysis decomposes vector motions on the plane into counter-rotating components,
which have proved particularly useful in the study of geophysical flows influenced by the …

First, this study proposed a four-channel phase and quadrature self-injection-locked (PQSIL)
radar by continuously switching four quadrature injection phases. Thereafter, a modified …