Of the digital signal processing techniques,the application of wavelet analysis,artificial neural network and Wigner distribution to the biomedical engineering were mainly discussed in the article,and the application prospect of the digital signal processing technique to the biomedical engineering was expected.

To counter deficiencies in Buchberger algorithms, the improved Groebner basis method is suggested on the basis of Buchberger algorithms by adopting some measures, such as taking the highest term as first term in reduction of a polynomial set, thoroughly reducing a polynomial set, and selecting a base set from a polynomial set according to polynomial rank.

We have showed that the Radon transform of the cross Wigner distribution function is a separable multiplication of fractional Fourier transform of these functions.

A novel fault identification algorithm based on smooth pseudo Wigner-Ville distribution (WVD) is proposed, which focused on the time-frequency analysis of network traffic.

Time-frequency analysis is an important mathematics analyze tool in analyzing non-placidity signal, Wigner-Ville distribution is the non-linear transform of time-frequency analysis.