A noise sounding signal for an acoustic radar (sodar) is offered. The experimental prototype of a noise sodar is
developed and made. Algorithms of a signal detection, range and velocity measurements are suggested and developed.
The experimental measurements are done. The suggested sodar can be used in meteorology for obtaining information
about direction and velocity of the wind.
Proc. SPIE. 6937, Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2007
KEYWORDS: Electronics, Digital signal processing, Statistical analysis, Detection and tracking algorithms, Fourier transforms, Signal processing, Photonics, Signal detection, Stochastic processes, Filtering (signal processing)
In the paper a new approach for estimating of the spoken language sound multivariate probability density is suggested.
It is based on the use of a projection of a random process to the set of random variables, with the probability density
defined as a product of two-dimensional densities. The estimates of two-dimensional probability densities are obtained
with the help of filtering of the two-dimensional empirical characteristic function. Therefore, we are suggesting a
nonparametric estimate of the characteristic function. On the basis of these estimates nonparametric algorithms of sound
classification can be constructed. Examples for the sound probability density function estimates are suggested.