According to the phenomenon and taking the slowness of classical maximum entropy thresholding algorithm which does robust segmentation into account, an improved fast algorithm is proposed.

Wind wave spectrum estimation of small generating area by the maximum entropy method;

In view of the characteristics of the measurement of form error,the probability distribution of the reading values and direct measurement results of measurement points are deduced based on the maximum entropy method, the probability theory and statistics.

A brief introduction is given to the maximum entropy method (MEM),which is based upon the maximum entropy principle and maximum likelihood principle in information theory.

A new method unfolding soft X-ray spectra for a soft X-ray spectrometer(SXS),which is based on maximum entropy principle(ME),is put forward.

In order to increase the spectral resolution, Burg maximum entropy method is adopted for ultrasonic echo signal processing.

Aimed at the problem of Burg maximum entropy method, the coefficient backward deduction of the second order prediction error filter was put forward through reduced original recurrence arithmetic error.

The self-adaptive algorithm was firstly improved,and nineteen-channel Electroencephalograms(EEGs)which included electromyogram,eye-movement and some other artifacts,were decomposed with self-adaptive infomax algorithm.

The study shows that the various artifacts can be separated from the EEGs successfully with the use of adaptive infomax algorithm and removal of artifacts can be real.

Maximum entropy approach combined with genetic algorithms was introduced to optimize the parameters of the system, a new combined algorithm for parameters optimization of the system was proposed.