A study of a matrix pencil method for estimating frequencies and damping factors of exponentiallydamped and/or undamped sinusoids in noise is presented. Comparison of this method to a polynomialmethod (SVD-Prony method) shows that the matrix pencil method and the polynomial method are two special cases of a matrix prediction approach and that the pencil method is more efficient in computation and less restrictive about signal probes. It is found through perturbation analysis and simulation that, for signals with unknown damping factors, the pencil method is less sensitive to noisethan the polynomial method. An expression of the Cramer-Rao bound for the exponential signals is presented.<>
There has been much recent interest in damped sinusoidal models, probably as a result of their relev...
In this paper, we extend and improve upon techniques based on linear prediction (LP) and the singula...
This paper proposes a new parameter estimation algorithm for damped sinusoidal signals. Parameter es...
Absfracf-We present a study of a matrix pencil method for esti-mating parameters (frequencies and da...
Several methods have been developed for estimating the pa-rameters of damped and undamped exponentia...
Noniterative parametric estimation techniques for exponentially damped and undamped sinusoidal signa...
Noniterative parametric estimation techniques for exponentially damped and undamped sinusoidal signa...
The estimation of sinusoidal parameters from noisy data arises in many practical problems, such as t...
In this paper we propose a new matrix pencil based method for estimating parameters (frequencies and...
We address the problem of estimating the parameters of a signal embedded in noise. The signal is com...
We have presented techniques [1]-[6] based on linear prediction-(LP) and singular value decompositio...
This thesis examines the problems associated with the estimation of exponentially damped sinusoids b...
This overview paper presents and compares different methods traditionally used for estimating damped...
In this paper we propose a new parameter estimation algorithm for damped sinusoidal signals. Paramet...
In this paper, we extend and improve upon techniques based on linear prediction (LP) and the singula...
There has been much recent interest in damped sinusoidal models, probably as a result of their relev...
In this paper, we extend and improve upon techniques based on linear prediction (LP) and the singula...
This paper proposes a new parameter estimation algorithm for damped sinusoidal signals. Parameter es...
Absfracf-We present a study of a matrix pencil method for esti-mating parameters (frequencies and da...
Several methods have been developed for estimating the pa-rameters of damped and undamped exponentia...
Noniterative parametric estimation techniques for exponentially damped and undamped sinusoidal signa...
Noniterative parametric estimation techniques for exponentially damped and undamped sinusoidal signa...
The estimation of sinusoidal parameters from noisy data arises in many practical problems, such as t...
In this paper we propose a new matrix pencil based method for estimating parameters (frequencies and...
We address the problem of estimating the parameters of a signal embedded in noise. The signal is com...
We have presented techniques [1]-[6] based on linear prediction-(LP) and singular value decompositio...
This thesis examines the problems associated with the estimation of exponentially damped sinusoids b...
This overview paper presents and compares different methods traditionally used for estimating damped...
In this paper we propose a new parameter estimation algorithm for damped sinusoidal signals. Paramet...
In this paper, we extend and improve upon techniques based on linear prediction (LP) and the singula...
There has been much recent interest in damped sinusoidal models, probably as a result of their relev...
In this paper, we extend and improve upon techniques based on linear prediction (LP) and the singula...
This paper proposes a new parameter estimation algorithm for damped sinusoidal signals. Parameter es...