Bayesian signal subspace estimation with compound Gaussian sources

نویسندگان
چکیده

برای دانلود باید عضویت طلایی داشته باشید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

bayesian estimation for the signal parameters in a gaussian random field

in recent years, some statisticians have studied the signal detection problem by using the random field theory. in this paper we have considered point estimation of the gaussian scale space random field parameters in the bayesian approach. since the posterior distribution for the parameters of interest dose not have a closed form, we introduce the markov chain monte carlo (mcmc) algorithm to ap...

متن کامل

Nonlinear Bayesian Estimation of BOLD Signal under Non-Gaussian Noise

Modeling the blood oxygenation level dependent (BOLD) signal has been a subject of study for over a decade in the neuroimaging community. Inspired from fluid dynamics, the hemodynamic model provides a plausible yet convincing interpretation of the BOLD signal by amalgamating effects of dynamic physiological changes in blood oxygenation, cerebral blood flow and volume. The nonautonomous, nonline...

متن کامل

Bayesian Subspace Estimation Using Sparse Promoting Prior

Hyperspectral sensors record the light intensity beyond the visible spectra in hundreds of narrow contiguous bands. Images are characterized by a high spectral resolution but a low spatial precision due to sensors constraints. A crucial step called unmixing consists of decomposing each pixel as a combination of pure spectra, called endmembers. Endmembers act as fingerprints, improving the abili...

متن کامل

A Bayesian approach to geometric subspace estimation

This paper presents a geometric approach to estimating subspaces as elements of complex Grassmann-manifold, with each subspace represented by its unique, complex projection matrix. Variation between the subspaces is modeled by rotating their projection matrices via the action of unitary matrices [elements of the unitary group U( )]. Subspace estimation or tracking then corresponds to inferences...

متن کامل

Adaptive Signal Detection in Auto-Regressive Interference with Gaussian Spectrum

A detector for the case of a radar target with known Doppler and unknown complex amplitude in complex Gaussian noise with unknown parameters has been derived. The detector assumes that the noise is an Auto-Regressive (AR) process with Gaussian autocorrelation function which is a suitable model for ground clutter in most scenarios involving airborne radars. The detector estimates the unknown...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: Signal Processing

سال: 2020

ISSN: 0165-1684

DOI: 10.1016/j.sigpro.2019.107310