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 …

To fully exploit sea experiments under controlled and reproducible laboratory conditions, a
channel model driven by real data is derived. This model relies on the assumption that a …

We provide an overview of recent work on distributed and agile sensing algorithms and their
implementation. Modern sensor systems with embedded processing can allow for …

This book is a result of more than twenty years of research and education in the area of time-
frequency signal analysis and signal theory, in general. The book presents time-frequency …

The estimation of time‐varying instantaneous frequency (IF) for monocomponent signals
with an incomplete set of samples is considered. A suitable time–frequency distribution …

gear transmission system is a complex non‐stationary and nonlinear time‐varying coupling
system. When faults occur on gear system, it is difficult to extract the fault feature. This paper …

A general form of compressive sensing (CS)‐based higher order time–frequency
distributions (TFDs) is proposed. Non‐linear time‐varying spectrum analysis requires higher …

The received low frequency signals in the long range shallow water will suffer severe
attenuation and modal dispersion effect, which will distort the signal and deteriorate the …

A new de-noising algorithm based on Intrinsic Time-scale Decomposition (ITD) is proposed
after analyzing the statistical characteristics of additional Gaussian white noise decomposed …

In this paper, a study of quadratic transformations under Cohen‟ s class is presented, to see
the variations in resolution for performing time-frequency analysis of signals. The study …