We present a computational acoustics approach to the computer simulation of sound elds. It is based on physical modelling of sound wave propagation in terms of the partial dierential equations for sound pressure and particle velocity. A step by step procedure is given to convert the partial

, which provides a shorter time computation of the binaural impulse responses for auralization purposes. In a companion paper, entitled Hybrid method for numerical simulation of room acoustics: Part 2 – Validation of the computational code RAIOS 3, a validation of the method in an international inter

A recent report demonstrated that 8-month-olds can segment a continuous stream of speech syllables, containing no acoustic or prosodic cues to word boundaries, into wordlike units after only 2 min of listening experience (Saffran, Aslin, & Newport, 1996). Thus, a powerful learning mechanism

for the whole journey. The common denominator in these tasks appears to relate to the anticipation of outcomes of behavior in situations with varying degrees of uncertainty: the merely automatic salivation of a dog without much alternative, the choice of sophisticated but partly unknown liquids, or the well

and numerical examples

decoders. The second part of the thesis therefore presents a new decoder design which is capable of using these models efficiently. The decoder is suitable for use with very large vocabularies and long span language models. It is also capable of generating a lattice of word hypotheses with little

Intelligent location of two simultaneously active

Dynamic equation governing acoustic heating is derived by splitting of the conservation laws into acoustic and non-acoustic parts. Numerical simulations result in the general conclu-sions about efficiency of acoustic heating produced by pulses of different polarity and shape. Efficiency of heating

Abstract — Distributed time synchronization is an important part of a sensor network where sensing and actuation must be coordinated across multiple nodes. Several time synchronization protocol that maximize accuracy and energy conservation have been developed, including FTSP, TPSN, and RBS. All

an important role in ultrasonics. The choice of a velocity potential or pressure based formulation of the acoustic part and quite often a displace-ment one of the elastic part results in Dirichlet-Neumann type interface conditions. In this presentation, decoupling strategies and algorithms for the nonlinear