The Annals of Probability, Vol. 1, No. 6 (Dec., 1973), pp. 968-981 (14 pages) This paper is mainly a survey of results on the problem of finding necessary and sufficient conditions for a Gaussian ...

Abstract: Probabilistic machine learning models are distinguished by their ability to integrate prior knowledge of noise statistics, smoothness parameters, and training data uncertainty. A common ...

Fourier-Transform-Image-Processing ├── input_images/ ├── result/ ├── fft_result/ # Visualizations of FFT and Filtering ├── ft_compression/ # Compressed image results using FT ├── ft_noise_removal/ # ...

Abstract: The definition of the higher-order statistics associated with the fractional Fourier transform is presented in this paper. The proposed fractional higher-order statistics for order greater ...

Metal artifacts, caused by high-density metallic implants in computed tomography (CT) imaging, severely degrade image quality, complicating diagnosis and treatment planning. While existing deep ...

Over at Quanta Magazine [Shalma Wegsman] asks What Is the Fourier Transform? [Shalma] begins by telling you a little about Joseph Fourier, the French mathematician with an interest in heat propagation ...

A spectral representation-based simulation methodology is proposed to generate sample functions of a multi-variate, multi-dimensional, non-Gaussian stochastic vector field, according to a prescribed ...