This is a very personal point of view of the underlying ideas that yields most of the currently reported spectral estimation techniques, procedures and algorithms. After a brief introduction on non-parametric spectral estimation, which includes a shutle aspect about how to use averaging in DFT based methods, the paper describes the potential of the variational approach in deriving already reported estimates and the way out to obtain new ones. Finally, and as the second approach of high interest in spectral estimation, the design and extensions of data-dependent filters for spectral estimation is reported.Peer Reviewe
International audienceModern information systems must handle huge amounts of data having varied natu...
The classical methods of evaluating the energy spectra of discretized deterministic and stochastic p...
Signal acquisition, signal reconstruction and analysis of spectrum of the signal are the three most ...
This is a very personal point of view of the underlying ideas that yields most of the currently repo...
This work describes the use of constraints in variational procedures for spectral analysis. It is re...
This work describes the use of constraints in variational procedures for spectral analysis. It is re...
Spectral estimation can be defined as the art of recovering the frequency content in a measured sign...
The role of the periodogram envelope as a nonparametric approach for spectral estimation and its pot...
The general theory development for adaptive methods of the non-linear spectral estimation in problem...
Spectral Analysis is one of the most important methods in signal processing. In practical applicatio...
A new variational ARMA power spectral estimation procedure is proposed. The resulting is a generaliz...
State of the art: · the most popular spectrum estimation method is well known Fourier algorithm. It...
abstract: the investigation of spectral densities has become an indispensible part of time series an...
Traditional maximum entropy spectral estimation determines a power spectrum from covariance estimate...
International audienceThis paper presents a spectral density estimator based on a Normalized Minimum...
International audienceModern information systems must handle huge amounts of data having varied natu...
The classical methods of evaluating the energy spectra of discretized deterministic and stochastic p...
Signal acquisition, signal reconstruction and analysis of spectrum of the signal are the three most ...
This is a very personal point of view of the underlying ideas that yields most of the currently repo...
This work describes the use of constraints in variational procedures for spectral analysis. It is re...
This work describes the use of constraints in variational procedures for spectral analysis. It is re...
Spectral estimation can be defined as the art of recovering the frequency content in a measured sign...
The role of the periodogram envelope as a nonparametric approach for spectral estimation and its pot...
The general theory development for adaptive methods of the non-linear spectral estimation in problem...
Spectral Analysis is one of the most important methods in signal processing. In practical applicatio...
A new variational ARMA power spectral estimation procedure is proposed. The resulting is a generaliz...
State of the art: · the most popular spectrum estimation method is well known Fourier algorithm. It...
abstract: the investigation of spectral densities has become an indispensible part of time series an...
Traditional maximum entropy spectral estimation determines a power spectrum from covariance estimate...
International audienceThis paper presents a spectral density estimator based on a Normalized Minimum...
International audienceModern information systems must handle huge amounts of data having varied natu...
The classical methods of evaluating the energy spectra of discretized deterministic and stochastic p...
Signal acquisition, signal reconstruction and analysis of spectrum of the signal are the three most ...