The authors propose a Doppler SODAR system to detect wind velocity by the frequency shift between the emanation and reception in continuous wave. The proposal is certificated by the simulation of acoustic wave propagation with discrete Huygenpsilas modeling. The experiment verifies the SODAR system which provides reasonable result.
In this paper, we examine the capability of the neural network approach to the defect identification and the electrical impedance imaging. It is shown the approach is suitable for detecting the defects and their positions in a conductive field system.