Azimuthal angle decorrelation in inclusive dijet cross sections is studied analytically to take into account the next–to–leading corrections to the BFKL kernel while keeping the jet vertices at leading order. The spectral representation on the basis of leading order eigenfunctions is generalized to include the dependence on conformal spins. With this procedure running coupling effects and angul...

Comprehensive analysis of the largest first-principles simulations to date shows that stochastic wave-particle decorrelation is the dominant mechanism responsible for electron heat transport driven by electron temperature gradient turbulence with extended radial streamers. The transport is proportional to the local fluctuation intensity, and phase-space island overlap leads to a diffusive proce...

{This paper evaluates the performance of decision-feedback multiuser detectors with coding for CDMA channels. A combined multiuser detection/soft-decision decoding scheme is proposed which allows total control over the reliability of decision-feedback mechanism. Its performance is compared to that of conventional detection and linear-decorrelation detection with soft-decision decoding. Simulati...

The modi cation of turbulence in the edge plasma of the DIII{D tokamak at the transition from the low to the high mode of con nement is investigated with a phase-contrast imaging diagnostic. The amplitude and radial correlation length of the turbulence in the con nement region decrease at the transition, whereas the decorrelation time increases. The transition model of Biglari, Diamond, and Ter...

We present an in vivo implementation of a multi-parametric technique for detecting apoptosis using optical coherence tomography in a mouse tumor model. Solid tumors were grown from acute myeloid leukemia cells in the hind leg of SCID mice and treated with a single dose of cisplatin and dexamethasone to induce apoptosis. Both spectral features and speckle decorrelation times indicated good consi...

Lossless compression algorithms of multispectral images are typically divided into two stages, a decorrelation stage and a coding stage. This work deals with the design of predictors for the decorrelation stage which are both fast and good. to achieve this, both spectral and spatial correlations are used for the predictor. The residuals between the predicted values and real values are calculate...

|We have shown previously that non-stationary signals recorded in a static multi-path environment can often be recovered by simultaneously decorrelating varying second order statistics. As typical sources are often moving, however, the multi-path channel is not static. We present here an on-line gradient algorithm with adaptive step size in the frequency domain based on second derivatives, whic...

The dynamic adaptive Linear Constrained Mininium Variance (LCMV) beamformer generally uses the Normalized LMS (NLMS) algorithm for its robustness a.nd simplicity, but it suffers froin a. low convergence rat,e. This paper proposes a.n alternative beamformer incorporating a siniplifiecl Fast Affine Projection (FAP) a.lgorit,hin, which provides fast, convergence speed and low compnta.tiona1 comple...