No abstract

Overlapping signals separation is a difficult problem, where time windowing is unable to separate signals overlapping in time and frequency domain filtering is unable to separate signals with overlapping spectra. In this work, a simulation under MATLAB is implemented to illustrate the concept of overlapping signals. We propose an approach for resolving overlapping signals based on Fourier transform and inverse Fourier transform. The proposed approach is tested under MATLAB, and the simulation results validate the effectiveness and the accuracy of the proposed approach. The approach is developed using Gerchberg superresolution technique to cope with signals with low signal-to-noise ratio. For practical work, an echo shape determination is required to apply the proposed technique. The experimental results show accurate localization of multiple targets.

There is still a strong interest in the paper industry for a contactless method that would allow the measurement of the elastic modulus of paper and of the anisotropy of this modulus in the sheet plane. A contactless method is presented that enables the measurement of the transmission coefficient of sound through a paper sheet, in the frequency range 200– 800 kHz, for incidence angles between −66 and +66. These measurements can be performed on a moving sheet at velocities in the same range as those observed on a paper machine. From the state equation of plate waves, the possibility to calculate the elastic modulus of paper was demonstrated by using only the equation of the first antisymmetric mode, without neglecting any term of it, contrary to what is commonly used in the literature. This model fits very well with measurements made and leads to consideration of the development of an on-line version for use on industrial paper machines.