In recent years, the olfactory analogue technology based on the smell sensor array and pattern recognition becomes a research hot point in the world.

The structure activity relationship was studied by the pattern recognition method.

In this paper,the fundamental of predicting karst-fractured zones using both seismic attribute technique and pattern recognition method is introduced.

Also, the process of the experiment and the method of mode identification are discussed in details.

Method of modal identification based on wavelet transform in LTI system under non-stationary random excitation;

A kind of method of modal identification subject to ambient excitation is presented.

A poly-reference time-domain operating modal identification complex exponential method is presented since cross-correlation functions have the same form as impulse response functions.

A method of cross power spectral density between responses is derived and a poly reference modal analysis method using cross power spectral density method in frequency domain is presented in this paper.