Add to ORKGThis paper discusses the extension of the one-dimensional alternating notch-periodogram algorithm (ANPA) to the detection of two-dimensional frequencies, based on a single snapshot data model. The 2-D ANPA algorithm uses the EDC (efficient detection criterion) criterion [1], and the 2-D version of a frequency spectrum called notch periodogram [2], and provides the combined estimation of the number of signals and the 2-D frequencies of signals
International audienceIn condition monitoring a part of the information necessary for decision-makin...
A novel extension of the Multiple Signal Classification (MUSIC) algorithm for the frequency estimati...
In this paper the problem of estimating the parameters of a model for bidimensional data made up by ...
[[abstract]]A novel periodogram-based maximum-likelihood algorithm is proposed for a frequency estim...
In this paper, an algorithm for 2-D frequency estimation is proposed. This algorithm consists of two...
In this paper, we prove the (large sample) strong consistency of two methods for detection of freque...
Simultaneous frequency and wavenumber estimation using two-dimensional (2-D) linear prediction on a ...
This paper represents a modified version (called T-AMPD) of automatic multiscale-based peak detectio...
Abstract The classical power spectrum, computed in the frequency domain, outranks traditionally used...
Abstract The classical power spectrum, computed in the frequency domain, outranks traditionally used...
The problem of two-dimensional frequency estimation of a sinusoid embedded in complex white Gaussian...
This paper proposes a new frequency domain approach for identifying the parameters of two-dimensiona...
This paper proposes a new frequency domain approach for identifying the parameters of two-dimensiona...
We present a new method for automatic detection of peaks in noisy periodic and quasi-periodic signal...
none2siThis paper describes a new approach for identifying the parameters of two-dimensional complex...
International audienceIn condition monitoring a part of the information necessary for decision-makin...
A novel extension of the Multiple Signal Classification (MUSIC) algorithm for the frequency estimati...
In this paper the problem of estimating the parameters of a model for bidimensional data made up by ...
[[abstract]]A novel periodogram-based maximum-likelihood algorithm is proposed for a frequency estim...
In this paper, an algorithm for 2-D frequency estimation is proposed. This algorithm consists of two...
In this paper, we prove the (large sample) strong consistency of two methods for detection of freque...
Simultaneous frequency and wavenumber estimation using two-dimensional (2-D) linear prediction on a ...
This paper represents a modified version (called T-AMPD) of automatic multiscale-based peak detectio...
Abstract The classical power spectrum, computed in the frequency domain, outranks traditionally used...
Abstract The classical power spectrum, computed in the frequency domain, outranks traditionally used...
The problem of two-dimensional frequency estimation of a sinusoid embedded in complex white Gaussian...
This paper proposes a new frequency domain approach for identifying the parameters of two-dimensiona...
This paper proposes a new frequency domain approach for identifying the parameters of two-dimensiona...
We present a new method for automatic detection of peaks in noisy periodic and quasi-periodic signal...
none2siThis paper describes a new approach for identifying the parameters of two-dimensional complex...
International audienceIn condition monitoring a part of the information necessary for decision-makin...
A novel extension of the Multiple Signal Classification (MUSIC) algorithm for the frequency estimati...
In this paper the problem of estimating the parameters of a model for bidimensional data made up by ...