Surface roughness is a major part of soil surface condition. It results from tillage operations and weathering. parameterisation still scientific lock the object many studies. An efficient parametrisation by modelling bidirectional autocorrelation function estimated 2.5D digital elevation models surfaces introduced. not only provides geostatistical parameters that can be related to other charac...

We complement a recent calculation (P.B. Gossiaux and the present authors, Ann. Phys. (N.Y.) in press) of the autocorrelation function of the conductance versus magnetic field strength for ballistic electron transport through microstructures with the shape of a classically chaotic billiard coupled to ideal leads. The function depends on the total number M of channels and the parameter t which m...

We show that the F-test can be both liberal and conservative in the context of a particular type of nonspherical behaviour induced by spatial autocorrelation, and that the conservative variant is more likely to occur for extreme values of the spatial autocorrelation parameter. In particular, it will wipe out the progressive one as the sample size increases.

Processing of the speech signal in the autocorrelation domain in the context of robust feature extraction is based on the following two properties: 1) pole preserving property (the poles of a given (original) signal are preserved in its autocorrelation function), and 2) noise separation property (the autocorrelation function of a noise signal is confined to lower lags, while the speech signal c...

Chromosome analys is is complicated in tha t chromosomes of the same class appear in d i f f e r e n t shapes. We consider shape desc r ip t i on in terms of conic sec t ions . An i n d i v i d u a l chromosome is def ined as a non-negative func t ion f on the r e a l p lane, subject to c e r t a i n cons t ra in ts on p o s i t i o n , s i ze , o r i e n t a t i o n , e t c . A conic sect ion ...

The autocorrelation function has a very important role in several application areas involving stochastic processes. In fact, it assumes the theoretical base for Spectral analysis, ARMA (and generalizations) modeling, detection, etc. However and as it is well known, the results obtained with the more current estimates of the autocorrelation function (biased or not) are frequently bad, even when ...

We address the problem of autocorrelation-based single-tone frequency estimation. It has been shown that the frequency can be estimated from the phase of the available signal’s autocorrelation with fixed lag. A large lag results in better performance but at the same time limits the estimation range. New methods have been proposed to extend the estimation range. In this paper, a new estimator wh...