Add to ORKGThe characteristic property of white Gaussian noise (WGN) is derived in S-transformation domain. The results show that the distribution of normalized S-spectrum of WGN follows 2χ distribution with two degrees of free-dom. The conclusion has been confirmed through both theoretical derivations and numerical simulations. Com-bined with different criteria, an effective signal detection in S-transformation can be realized
International audienceA family of Gaussian analytic functions (GAFs) has recently been linked to the...
Let 0* be the space of termpered distributions with standard Gaussian measure [mu]. Let (0) [subset ...
The paper exploits the spectral correlation property to detect cyclostationary signals embedded in w...
The S-transform is studied as a mapping from a space of tensors to a space of functions over a compl...
The main notions and tools from white noise analysis are set up on the basis of the calculus of Gaus...
AbstractEmploying the Segal–Bargmann transform (S-transform for abbreviation) of regular Lévy white ...
Products of Gaussian noises often emerge as the result of non-linear detection techniques or as para...
SIGLEAvailable from TIB Hannover: RO 5073(474/91) / FIZ - Fachinformationszzentrum Karlsruhe / TIB -...
The sub-Nyquist sampling (SNS) has emerged as an appealing technique for wideband signal sampling an...
The detection of a known signal in multivariate non-Gaussian noise characterized by the transformati...
The attached document may provide the author's accepted version of a published work. See Citati...
Abstract. White noise distribution theory over the complex Gauss-ian space is established on the bas...
Abstract The Segal-Bargmann transform is applied to characterization for symbols of white noise oper...
An expression has been derived for a power spectrum of an M-ary PSK signal perturbed by additive whi...
Abstract—G-OFDM is a variant of OFDM, which replaces the fast Fourier transform (IFFT) and fast Four...
International audienceA family of Gaussian analytic functions (GAFs) has recently been linked to the...
Let 0* be the space of termpered distributions with standard Gaussian measure [mu]. Let (0) [subset ...
The paper exploits the spectral correlation property to detect cyclostationary signals embedded in w...
The S-transform is studied as a mapping from a space of tensors to a space of functions over a compl...
The main notions and tools from white noise analysis are set up on the basis of the calculus of Gaus...
AbstractEmploying the Segal–Bargmann transform (S-transform for abbreviation) of regular Lévy white ...
Products of Gaussian noises often emerge as the result of non-linear detection techniques or as para...
SIGLEAvailable from TIB Hannover: RO 5073(474/91) / FIZ - Fachinformationszzentrum Karlsruhe / TIB -...
The sub-Nyquist sampling (SNS) has emerged as an appealing technique for wideband signal sampling an...
The detection of a known signal in multivariate non-Gaussian noise characterized by the transformati...
The attached document may provide the author's accepted version of a published work. See Citati...
Abstract. White noise distribution theory over the complex Gauss-ian space is established on the bas...
Abstract The Segal-Bargmann transform is applied to characterization for symbols of white noise oper...
An expression has been derived for a power spectrum of an M-ary PSK signal perturbed by additive whi...
Abstract—G-OFDM is a variant of OFDM, which replaces the fast Fourier transform (IFFT) and fast Four...
International audienceA family of Gaussian analytic functions (GAFs) has recently been linked to the...
Let 0* be the space of termpered distributions with standard Gaussian measure [mu]. Let (0) [subset ...
The paper exploits the spectral correlation property to detect cyclostationary signals embedded in w...