Abstract: In this paper, we
propose a new numerical method for bulk and leaky detection of an acoustic
microwave signal during the propagation of acoustic microwaves in a
piezoelectric substrate (Niobate of Lithium For this reason, we have used a
wavelet transform as a numerical analysis method. The originality of this
technique consists of the local analysis of signal singularities where abrupt
events appear and hence access to hidden information by using the scale of this
transform as up scaling parameters. These singularities inform us of presence of
bulk and leaky waves in piezoelectric materials.
In this work we
have a very important parameter called acoustic velocity. Its importance is due
to the fact that its variation begets the variation of the other parameters. On
the other hand, it permits to provoke singularities at the level of the wave.
