Zobrazeno 1 - 10
of 45
pro vyhledávání: '"D.R. Farrier"'
Autor:
A.R. Prior-Wandesforde, D.R. Farrier
Publikováno v:
IFAC Proceedings Volumes. 23:601-605
A maximum likelihood algorithm is introduced that is capable of extracting the parameters of an exponentially damped sinusoid with unknown phase buried in Gaussian white noise. The method can be implemented using Fast Fourier Transform (FFT) methods
Autor:
D.R. Farrier, F. McLeod
Publikováno v:
ICASSP
A new technique is proposed for the detection and estimation of multipath signals. The technique is based on using source subspace eigenvectors rather than the more frequently used noise subspace eigenvectors[1],[2]. The technique may be applied to l
Autor:
D.R. Farrier, D. Jeffries
Publikováno v:
ICASSP
In this paper a method will be presented for estimating the direction and power of several discrete signals, incident on a linear array of equispaced sensors. Unlike most other methods, this approach does not require a prior knowledge of the backgrou
Autor:
D.R. Farrier, R. Mardani
Publikováno v:
ICASSP
A simple, noniterative algorithm is presented for resolving closely space sinusoids. The method is based on a maximum-likelihood algorithm and is specifically designed to resolve two signals of similar power with minimum complexity. The algorithm con
Publikováno v:
ICASSP
A perturbation analysis of the MUSIC algorithm, accurate for small numbers of samples, is described. This is accurate to second order, whereas previous work has been accurate to only first order. The authors also describe how the perturbation analysi
Autor:
D.R. Farrier
Publikováno v:
ICASSP
It is demonstrated that a Bayesian analysis can be simplified and can lead to a practical direction-of-arrival (DOA) estimator. This estimator is remarkably similar to the MUSIC algorithm, but has a threshold which is significantly lower than that fo
Autor:
L.R. Prosper, D.R. Farrier
Publikováno v:
ICASSP
It is shown that it is possible to approximate a maximum-likelihood method, leading to a very high performance subspace algorithm. This has all the advantages of subspace methods (i.e. inexpensive), but with much better threshold performance than exi
Autor:
D.R. Farrier
Publikováno v:
IEE Proceedings F Communications, Radar and Signal Processing. 131:19
It is shown that, in situations where part of a correlation function can be predicted, it is possible to include this knowledge when forming a spectrum. The proposed method only requires the form of the known correlation function to be available. The
Autor:
D.R. Farrier
Publikováno v:
IEE Proceedings F Communications, Radar and Signal Processing. 131:714