This paper discusses the estimation of mains frequencies which vary with time. The recently proposed CP function [1] is proposed as a tool which is highly suited to estimation of time-varying mains signals. It can be shown that if the mains frequency trajectory can be modeled (at least locally) as a quadratic function of time, then the frequency trajectory can be estimated with near optimal accuracy. Such accuracy is not achievable with conventional techniques such as “running Fourier transforms ” because the latter implicitly assume that the spectral content of the signal under analysis is stationary
Abstract—In signal processing, four functions of one variable are commonly used. They are the signal...
International audienceWe consider the problem of estimation of a (linearly) time-varying frequency o...
The estimation of the scattering function in time-frequency selective fading mobile environment is c...
The problem to track time-varying properties of a signal is studied. The somewhat contradictory noti...
Journal PaperCurrent theories of a time-varying spectrum of a nonstationary process all involve, eit...
Given a signal, one can readily see how the energy of the signal is distributed in time. By computin...
Spectral analysis of time varying signals is traditionally performed with the short time Fourier tra...
The bias-variance trade-off is an important issue is spectrum estimation. In 1982, Thomson introduce...
Spectral analysis of time-varying signals is traditionally performed with the short-time Fourier tra...
A class of models for the time-varying spectrum of a locally stationary process is introduced. The m...
The notion of "instantaneous frequency" is utilized in processing signals with time-varying spectral...
A new time-varying autoregressive modeling has been proposed as a tool for time-frequency analysis o...
Conventional methods for signal analysis utilise the Fourier Transform to estimate the spectral resp...
Representation of signals in time and frequency domain has been of interest in signal processing are...
ii The Fourier transform of a signal defines the frequency domain representation of the signal in th...
Abstract—In signal processing, four functions of one variable are commonly used. They are the signal...
International audienceWe consider the problem of estimation of a (linearly) time-varying frequency o...
The estimation of the scattering function in time-frequency selective fading mobile environment is c...
The problem to track time-varying properties of a signal is studied. The somewhat contradictory noti...
Journal PaperCurrent theories of a time-varying spectrum of a nonstationary process all involve, eit...
Given a signal, one can readily see how the energy of the signal is distributed in time. By computin...
Spectral analysis of time varying signals is traditionally performed with the short time Fourier tra...
The bias-variance trade-off is an important issue is spectrum estimation. In 1982, Thomson introduce...
Spectral analysis of time-varying signals is traditionally performed with the short-time Fourier tra...
A class of models for the time-varying spectrum of a locally stationary process is introduced. The m...
The notion of "instantaneous frequency" is utilized in processing signals with time-varying spectral...
A new time-varying autoregressive modeling has been proposed as a tool for time-frequency analysis o...
Conventional methods for signal analysis utilise the Fourier Transform to estimate the spectral resp...
Representation of signals in time and frequency domain has been of interest in signal processing are...
ii The Fourier transform of a signal defines the frequency domain representation of the signal in th...
Abstract—In signal processing, four functions of one variable are commonly used. They are the signal...
International audienceWe consider the problem of estimation of a (linearly) time-varying frequency o...
The estimation of the scattering function in time-frequency selective fading mobile environment is c...