Zobrazeno 1 - 10
of 19
pro vyhledávání: '"T. Pitarque"'
Publikováno v:
IEEE Transactions on Communications. 47:10-13
The paper deals with the analytical evaluation of the asymptotic detection and false-alarm probabilities of multicycle and single-cycle detectors operating in additive white Gaussian noise with unknown and nonrandom spectral level, which are based on
Publikováno v:
IEEE Transactions on Signal Processing. 40:1263-1266
When the model of a noisy sinusoidal process is autoregressive moving average (ARMA), then the AR spectrum is biased. However, since the AR spectrum contains all the second-order information of the process, it is possible to retrieve the noiseless pr
Publikováno v:
Signal Processing. 22:231-238
The Pisarenko decomposition of a random process consisting of a sum of sinusoids and a white noise signal is usually obtained by the computation of the minimum eigenvalue and the corresponding normalized eigenvector of the autocorrelation matrix whic
Publikováno v:
ICECS
This paper presents an original approach for nonlinear Volterra filter identification. We propose here to use a restricted class of input sequence to excite few terms of the Volterra filter, which must satisfy a set of physical constraints. Expressio
Publikováno v:
ICASSP
The purpose of this paper is to evaluate theoretically in terms of receiver operating characteristics (ROC) the performance of a statistical test (based on the second order statistic) for the presence of cyclostationarity in a noisy observation. In o
Publikováno v:
ICASSP
The autoregressive principal component technique uses the singular value decomposition (SVD) of an augmented dimension estimated autocorrelation matrix R to provide an accurate identification of frequencies in white noise. To avoid the eigen-decompos
Publikováno v:
ICASSP
The miniaturization of GSM handsets creates nonlinear acoustical echoes between the microphone and the loudspeaker when the signal level is high. Nonlinear adaptive filtering can tackle this problem but the computational complexity has to be reduced
Publikováno v:
ICASSP
This paper deals with detection of weak cyclostationary signals embedded in colored Gaussian noise. We consider the normalized correlation function of the noise to be known and the noise power to be unknown. We propose a temporal structure of the sin
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Akademický článek
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