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ICASSP
2009
IEEE
14 years 2 months ago
Compressive spectral estimation for nonstationary random processes
We propose a “compressive” estimator of the Wigner-Ville spectrum (WVS) for time-frequency sparse, underspread, nonstationary random processes. A novel WVS estimator involving...
Alexander Jung, Georg Tauböck, Franz Hlawatsc...
ICASSP
2011
IEEE
12 years 11 months ago
ON the recovery of time-varying spectral envelope information from AQHM-derived spectra
Spectral envelopes of speech signals are typically obtained by making stationarity assumptions about the signal which are not always valid. The Adaptive Quasi-Harmonic Model (AQHM...
Yannis Agiomyrgiannakis, Yannis Stylianou
ICASSP
2011
IEEE
12 years 11 months ago
Snapshot spectral imaging via compressive random convolution
Spectral imaging is of interest in many applications, including wide-area airborne surveillance, remote sensing, and tissue spectroscopy. Coded aperture spectral snapshot imaging ...
Yao Wu, Gonzalo R. Arce
ICASSP
2011
IEEE
12 years 11 months ago
Speech enhancement using a joint map estimator with Gaussian mixture model for (non-)stationary noise
In many applications non-stationary Gaussian or stationary nonGaussian noises can be observed. In this paper we present a maximum a posteriori estimation jointly of spectral ampli...
Balázs Fodor, Tim Fingscheidt
ICASSP
2010
IEEE
13 years 7 months ago
Wideband spectral estimation from compressed measurements exploiting spectral a priori information in Cognitive Radio systems
In Cognitive Radio scenarios channelization information from primary network may be available to the spectral monitor. Under this assumption we propose a spectral estimation algor...
Gonzalo Vazquez-Vilar, Roberto López-Valcar...