This thesis deals with frequency estimation for one-dimensional and two-dimensional
sinusoidal signals from a given finite number of samples and a priori information, mostly in …

Sinusoid signals with multiple frequencies appear in various systems and their frequencies
may carry some important features. Frequency estimation from their discrete samples is one …

Several frequency estimation methods consist of two stages. In the first stage, the
coefficients of a polynomial A (z) are consistently estimated from the available …

A computationally efficient method for determining the frequencies of closely spaced
sinusoidal signals in noise is described. The performance of this new method is …

We present more information about improved methods for estimation of the frequencies of
sinusoids which are closely spaced in frequency and which are observed in the presence of …

Estimating the frequencies of multiple, closely-spaced noisy sinusoids when the data record
is short is commonly accomplished by subspace-based methods such as ESPRIT, MUSIC …

This thesis is concerned with the problem of estimating sinusoidal parameters from noisy
observations. This field of research is applicable to solving problems in a large number of …

Estimating the frequencies, amplitudes and phases of sinusoids in noise is a problem which
arises in many-applications. The aim of the methods in this paper is to achieve …

A non-recursive frequency estimator for sinusoids in white noise is described. The
proposed" integral equation estimator"(IEE) is found by solving a linear least-squares …

The problem of estimating the frequencies, phases, and amplitudes of sinusoidal signals is
considered. A simplified maximum-likelihood Gauss-Newton algorithm which provides …