DFT domain based noise reduction algorithms can be effective for noise reduction in various speech processing applications. In general these algorithms apply a noise-PSD dependent estimator to the noisy speech DFT coefficients in order to estimate the clean speech DFT coefficients. Since the noise PSD is unknown in advance, estimation is one of the crucial elements of such a noise reduction sys...

We investigate the normal state of the superconducting compound PuCoGa5 using the combination of density functional theory (DFT) and dynamical mean field theory, with continuous time quantum Monte Carlo as the impurity solver, and the DFT+Gutzwiller/rotationally invariant slave boson method. With both methods we find a strong tendency of the orbitals to differentiate. The more accurate DFT+DMFT...

In 3 decades of clinical use of the implantable cardioverter-defibrillator (ICD), defibrillation threshold (DFT) testing has remained an integral part of the implantation procedure. The prevailing rationale for the routine evaluation of DFTs has been to ensure appropriate sensing of ventricular fibril-lation, system integrity, and effective defibrillation (1–3). Early ICD systems using monophas...

The Fast Fourier Transform (FFT) algorithm that calculates the Discrete Fourier Transform (DFT) is one of the major breakthrough in scientific computing and is now an indispensable tool in a vast number of fields. Unfortunately, software that provide fast computation of DFT via FFT differ vastly in functionality as well as uniformity. A widely accepted Applications Programmer Interface (API) fo...

The density functional theory (DFT) has become the workhorse in electronic structure calculations. Its success derives from the ability to produce accurate results with reasonable computational effort. The drawback of the DFT is that in principle it is bound to the ground-state properties. However, the time-dependent DFT (TDDFT) extends the applicatibility of the DFT to excited states. In recen...

We review the role of self-consistency in density functional theory. We apply a recent analysis to both Kohn-Sham and orbital-free DFT, as well as to Partition-DFT, which generalizes all aspects of standard DFT. In each case, the analysis distinguishes between errors in approximate functionals versus errors in the self-consistent density. This yields insights into the origins of many errors in ...

This paper proposes an efficient frequency estimator based on Chinese Remainder Theorem for undersampled waveforms. Due to the emphasis on frequency offset recognition (i.e., frequency shift and compensation) of small-point DFT remainders, compared to estimators using large-point DFT remainders, it can achieve higher noise robustness in low signal-to-noise ratio (SNR) cases and higher accuracy ...

Frequency estimation of complex sinusoidal signal parameters for mixed Gaussian and impulse noise environment is considered. We assume that the sinusoid has constant amplitude. The first stage in the proposed algorithm is calculation of the L-DFT forms for various parameters. Then, an optimal value of the L-DFT parameter is estimated as a value minimizing the L-DFT energy. Position of the L-DFT...

BACKGROUND A balanced nutrition schedule provides the essential substances for proper oral health. OBJECTIVES The aim of this study was to investigate the association between dental caries and body mass index in 6-11 year-old children in Zahedan. MATERIALS AND METHODS In this cross-sectional study 1213 children (670 girls, 543 boys) were included. Body mass index (BMI) and clinical examinat...

We present a density functional theory (DFT) for steady-state nonequilibrium quantum systems such as molecular junctions under a finite bias. Based on the steady-state nonequilibrium statistics that maps nonequilibrium to an effective equilibrium, we show that ground-state DFT (GS-DFT) is not applicable in this case and two densities, the total electron density and the density of current-carryi...