We present a new estimator of the entropy of continuous signals. We model the unknown
probability density of data in the form of an AR spectrum density and use regularized long …

We present a practical technique for spectrum and spectral density estimation from long time
series by Fourier transforms. We apply Welch's popular technique of “averaging over …

In echocardiography, the radio-frequency (RF) image is a rich source of information about
the investigated tissues. Nevertheless, very few works are dedicated to boundary detection …

Formulated as a linear inverse problem, spectral estimation is particularly underdetermined
when only short data sets are available. Regularization by penalization is an appealing …

CL Wu, LC Fu and FL Lian,“WLAN location determination in e-home via support vector
classification', in Proc. IEEE Int'l Con ference on Networking, Sensing and Control, pp. 1026 …

The spaceborne, gravitational wave detector LISA (Laser Interferometer Space Antenna)
will, in addition to ground-based detectors that operate at frequencies above 50 Hz, detect …

This paper deals with the estimation of a sequence of frequencies from a corresponding
sequence of signals. This problem arises in fields such as Doppler imaging, where its …

Spectral estimation is a major component in studies aiming at characterizing biological
tissues through the analysis of backscattered radio frequency (RF) ultrasonic signals and …

This invention relates to methods and devices for channel identification. The invention is
particularly concerned with techniques for non-line of sight channel identification. In …

This paper is devoted to adaptive long autoregressive spectral analysis when i) very few
data are available and ii) information does exist beforehand concerning the spectral …