This paper presents a class of minimum mean-square error (MMSE) estimators for
enhancing short-time spectral coefficients of a noisy speech signal. In contrast to most of the …

Background Genetically identical populations of cells grown in the same environmental
condition show substantial variability in gene expression profiles. Although single-cell RNA …

We present new algorithms that efficiently approximate the hypergeometric function of a
matrix argument through its expansion as a series of Jack functions. Our algorithms exploit …

Deep convolutional neural networks (DCNNs) have recently emerged as a powerful tool to
deliver breakthrough performances in various image analysis and processing applications …

The two most commonly used hypergeometric functions are the confluent hypergeometric
function and the Gauss hypergeometric function. We review the available techniques for …

We seek accurate, fast and reliable computations of the confluent and Gauss
hypergeometric functions 1F1 (a; b; z) and 2F1 (a, b; c; z) for different parameter regimes …

This paper studies a family of distributions constructed from multivariate gamma distributions
to model the statistical properties of multisensor synthetic aperture radar (SAR) images …

The purpose of this thesis is the numerical integration of highly oscillatory functions, over
both univariate and multivariate domains. Oscillatory integrals have many applications …

We present an efficient implementation of hypergeometric functions in arbitrary-precision
interval arithmetic. The functions 0 F 1, 1 F 1, 2 F 1, and 2 F 0 (or the Kummer U-function) are …

New extensions of Hermite–Hadamard inequalities via generalized proportional fractional
integral - Mumcu - 2024 - Numerical Methods for Partial Differential Equations - Wiley Online …