The paper describes a signal power spectrum analyzer and a signal period estimator whose bandwidth is not limited by the mean sampling time. The procedure relies on the evaluation of the input signal autocorrelation function in different delayed time instants, located at either equispaced or random time instants. To do this, a recursive random sampling process in the time domain was used in order to avoid any bandwidth limitation due to the sampling strategy in the evaluation of each autocorrelation function. The signal power spectrum as well as its period, provided that an approximate value of the fundamental frequency is known, can finally be evaluated. Some theoretical background and experimental work are reported in the paper for val...
This thesis derives and discusses the properties of the autocorrelation matrix and its relationship ...
The problem discussed in this paper is that of estimating the period of a sequence of periodic event...
We provide an overview of recent progress regarding the role of sampling in the study of signals tha...
The paper describes a signal power spectrum analyzer and a signal period estimator whose bandwidth i...
This paper describes a power spectrum analyzer whose bandwidth is not limited by the mean sampling t...
A new technique for power spectrum analysis is introduced, theoretically evaluated, and experimental...
Signal reconstruction from sampling data is an important problem in signal processing and system ide...
The work presented in this thesis covers the design of various sampling/ processing schemes which al...
This paper studies the sequential sampling scheme, as a solution to the problem of aliasing, where t...
A method of spectrum estimation using group delay functions is proposed. This method exploits the ad...
In power spectral estimation of a continuous band-limited random process, one must usually estimate ...
A new time-varying autoregressive modeling has been proposed as a tool for time-frequency analysis o...
This paper presents a method that deploys nonuniform sampling and appropriates to it a processing al...
Abstract – In this paper the conventional equally spaced sampling technique for spectrum analysis is...
International audienceThis paper focuses on the spectral analysis of time series. The samples of the...
This thesis derives and discusses the properties of the autocorrelation matrix and its relationship ...
The problem discussed in this paper is that of estimating the period of a sequence of periodic event...
We provide an overview of recent progress regarding the role of sampling in the study of signals tha...
The paper describes a signal power spectrum analyzer and a signal period estimator whose bandwidth i...
This paper describes a power spectrum analyzer whose bandwidth is not limited by the mean sampling t...
A new technique for power spectrum analysis is introduced, theoretically evaluated, and experimental...
Signal reconstruction from sampling data is an important problem in signal processing and system ide...
The work presented in this thesis covers the design of various sampling/ processing schemes which al...
This paper studies the sequential sampling scheme, as a solution to the problem of aliasing, where t...
A method of spectrum estimation using group delay functions is proposed. This method exploits the ad...
In power spectral estimation of a continuous band-limited random process, one must usually estimate ...
A new time-varying autoregressive modeling has been proposed as a tool for time-frequency analysis o...
This paper presents a method that deploys nonuniform sampling and appropriates to it a processing al...
Abstract – In this paper the conventional equally spaced sampling technique for spectrum analysis is...
International audienceThis paper focuses on the spectral analysis of time series. The samples of the...
This thesis derives and discusses the properties of the autocorrelation matrix and its relationship ...
The problem discussed in this paper is that of estimating the period of a sequence of periodic event...
We provide an overview of recent progress regarding the role of sampling in the study of signals tha...