Density modification often suffers from an overestimation of phase quality, as seen by escalated figures of merit. A new cross-validation-based method to address this estimation bias by applying a bias-correction parameter 'β' to maximum-likelihood phase-combination functions is proposed. In tests on over 100 single-wavelength anomalous diffraction data sets, the method is shown to produce much...

We derive and analyze the perturbation series for the classical effective potential in quantum statistical mechanics, treated as a toy model for the dimensionally reduced effective action in quantum field theory at finite temperature. The first few terms of the series are computed for the harmonic oscillator and the quartic potential.

In this work, we present a novel, robust scheme for high density WLAN deployments. This scheme uses well known selection diversity at the transmitter. We show that our scheme increases the number of simultaneous transmissions at any given time without excessive overhead (compared to other schemes such as Multi-user MIMO). Furthermore, this scheme can be easily implemented using existing standards.

The ratio of two probability density functions is becoming a quantity of interest these days in the machine learning and data mining communities since it can be used for various data processing tasks such as non-stationarity adaptation, outlier detection, and feature selection. Recently, several methods have been developed for directly estimating the density ratio without going through density ...

Two classes of multiplicative bias correction (‘‘MBC’’) methods are applied to density estimation with support on [0, ∞). It is demonstrated that under sufficient smoothness of the true density, each MBC technique reduces the order of magnitude in bias, whereas the order of magnitude in variance remains unchanged. Accordingly, the mean integrated squared error of each MBC estimator achieves a f...

A variational limit defined on the space of bi-dimensional gradient Young measures is obtained from three-dimensional elasticity via dimension reduction. The obtained limit problem uniquely determines the energy density of the thin film. Our result might be used to compute the microstructure in membranes made of phase transforming material.

Airway lengthening after pneumonectomy (PNX) may increase diffusive resistance to gas mixing (1/D(G)); the effect is accentuated by increasing acinar gas density but is difficult to detect from lung CO-diffusing capacity (Dl(CO)). Because lung NO-diffusing capacity (Dl(NO)) is three- to fivefold that of Dl(CO), whereas 1/D(G) for NO and CO are similar, we hypothesized that a density-dependent f...

The large variance of the Wigner Ville distribution makes smoothing essential for producing readable estimates of the time varying power spectrum of noise corrupted signals Since linear smoothing trades reduced variance for increased bias of the signal components we explore two nonlinear estimation techniques based on soft thresholding in an orthonormal basis representation Soft thresholding pr...

Most of the conventional speech enhancement methods operating in the spectral domain often suffer from spurious artifact called musical noise. Moreover, these methods also incur an extra overhead time for noise power spectral density estimation. In this paper, a speech enhancement framework is proposed by cascading two temporal processing stages. The first stage performs excitation source based...