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ICASSP
2009
IEEE
13 years 11 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 8 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 8 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 8 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 4 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...