The effectiveness of small microphone arrays for in car use is investigated. These arrays are designed for speech enhancing at noise background within the cabin of a moving car. Speech and noise simulation based on designed mathematical algorithm of sound field modeling within a car cavity is applied for predicting effectiveness of the spatial-time processing algorithms. The mathematical model ...

Time-series analysis, a relatively uncommon technique in ecological studies, has been applied to annual tree growth-ring series. In agreement with earlier North American work, ARMA(1,1) models were found to be the predominant form for expressing stochastic growth processes, occurring in 58% of the 36 Nothofagus menziesii and N. solandri time-series examined. The remaining 42% conformed to an AR...

Cross-correlation provides a method of calculating a static shift between two datasets. By cross-correlating patches of data, I can calculate a “warp function” that dynamically aligns the two datasets. By exploiting the link between cross-correlation and shaping filters, I calculate warp functions in a more general way, leveraging the full machinery of geophysical estimation. I compare warp fun...

I review the temporal/spectral data of accreting black hole sources paying most attention to the properties of the temporal variability such as photon energy dependent autoand cross-correlation functions, average shot profiles and hardness ratios, and the Fourier frequency dependent time/phase lags. These statistics characterize spectral changes at short time scales that are otherwise impossibl...

We introduce the Multivariate Autoregressive Conditional Double Poisson model to deal with discreteness, overdispersion and both auto and cross-correlation, arising with multivariate counts. We model counts with a double Poisson and assume that conditionally on past observations the means follow a Vector Autoregression. We resort to copulas to introduce contemporaneous correlation. We apply it ...

We analyze the refocusing properties of time reversed waves that propagate in two different media during the forward and backward stages of a time-reversal experiment. We consider two regimes of wave propagation modeled by the paraxial wave equation with a smooth random refraction coefficient and the Itô-Schrödinger equation, respectively. In both regimes, we rigorously characterize the refocus...

In this paper, a new model for testing patterns with neural networks is presented. The idea is to accelerate the operation of testing patterns by using neural networks. This is done by applying cross correlation between the input patterns and the input weights of neural networks in the frequency domain rather than time domain. Furthermore, such model is very useful for understanding the interna...

The experiment was conducted using Randomized Complete Block Design with Row Column arrangement and three replications. Grain yield, phenological and other traits were recorded. The Residual Maximum Likelihood (REML) combined analysis of variance across locations showed very highly significant (P