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.
KEYWORDS: Signal processing, Fourier transforms, Digital signal processing, Electronics, Detection and tracking algorithms, Statistical analysis, Signal detection, Filtering (signal processing), Stochastic processes, Photonics
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.
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
INSTITUTIONAL Select your institution to access the SPIE Digital Library.
PERSONAL Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.