The complex wave representation (CWR) converts unsigned 2D distance transforms into their corresponding wave functions. The underlying motivation for performing this maneuver is as follows: the normalized power spectrum of the wave function is an excellent approximation (at small values of Planck’s constant—here a free parameter τ) to the density function of the distance transform gradients. Or...

In this paper, we present a new method for the study of a discrete random variable whose probability distribution has a finite support. The approach is based on the introduction of a transform of the probability density function, named γ-transform, which better suits the finite nature of the random variable than the traditional probability generating function. In particular, in addition to the ...

Abstract 1: CMAQ is a numerical air quality model which gives concentration of various air pollutants at several different scales. Our main interest is to model the conditional distribution of high resolution output (96 by 96 in space,576 hours) given low resolution output (24 by 24 in space, 576 hours). By a Haar Wavelet Packet Transform of high resolution output for each hour, we naturally li...

introduction: non-uniformity test is essentially the only required daily qc procedure in nuclear medicine practice. noise creates statistical variation or random error in a flood image. non-uniformity on the other hand does not have statistical nature and may be regarded as systemic error. the present methods of non-uniformity calculation do not distinguish between these two types of error. the...

seismic waves are non-stationary due to its propagation through the earth. time-frequency transformsare suitable tools for analyzing non-stationary seismic signals. spectral decomposition can reveal thenon-stationary characteristics which cannot be easily observed in the time or frequency representationalone. various types of spectral decomposition methods have been introduced by some researche...

In this paper, a feature extraction method that is robust to additive background noise is proposed for automatic speech recognition. Since the background noise corrupts the autocorrelation coefficients of the speech signal mostly at the lowertime lags, while the higher-lag autocorrelation coefficients are least affected, this method discards the lower-lag autocorrelation coefficients and uses o...

With the current climate changes, it is essential to understand the mechanisms that govern floods and flow regimes and their effects on the dynamics of riparian forests. The aim is to assess the effects of new hydrological conditions (increase in flood frequency) on forest stands subject to frequent floods. The sampling sites (total of 94 quadrats) are located in riverine woodlands, and the cho...

Understanding the hydro-climatological controls on floods is fundamental for estimating flood frequency. The river flood regime is a reflection of a complex catchment hydrological response to flood producing processes. Hence, the catchment similarity in a flood regime is a feasible basis for identifying flood frequency pooling groups used in regional estimation of design events. This study desc...