On the basis of analyzing the now existed data noise reduction method and adopting the wavelet technology-a new time and frequency analysis tool,the noise reducing treatment was conducted on data obtained from measurement.

Secondly,one more stable time scale is presented by using the different method of noise reduction. For,the modified Allan deviation is improved from 7.29D-15 to 5.18D-15,5.63D-15 and 5.67D-15.The results indicate that the wavelet is one useful method for atomic clock data noise reduction in time scale computation and the other methods can also obtain the effective results in noise reduction.

The paper not only studies the noise reduction methods of chaotic time series with noise and its reconstruction techniques, but also discusses prediction techniques of chaotic time series and its applications based on chaotic data noise reduction.

A new noise reduction method based on restrain of the physical properties of electromagnetic data is put forward. The basic criterion of this noise reduction method is to seek the physical rationality of the electromagnetic data after the noise reduction processing. Theoretical modeling results have shown this method is rational, reliable and practical means for EM data noise reduction. Combining this method with Forward Modifying Inversion method, the resistivity distribution and other geometric parameters...

A new noise reduction method based on restrain of the physical properties of electromagnetic data is put forward. The basic criterion of this noise reduction method is to seek the physical rationality of the electromagnetic data after the noise reduction processing. Theoretical modeling results have shown this method is rational, reliable and practical means for EM data noise reduction. Combining this method with Forward Modifying Inversion method, the resistivity distribution and other geometric parameters of the subsurface profile can be better determined.

Not only the noise reduction methods of chaotic time series with noise and its reconstruction techniques were studied,but also prediction techniques of chaotic time series and its applications were discussed based on chaotic data noise reduction.First the phase space of chaotic time series was decomposed to range space and null noise space.Secondly original chaotic time series was reconstrucled in range space.Lastly on the basis of the above,the order of the nonlinear model was established and the...

Not only the noise reduction methods of chaotic time series with noise and its reconstruction techniques were studied,but also prediction techniques of chaotic time series and its applications were discussed based on chaotic data noise reduction.First the phase space of chaotic time series was decomposed to range space and null noise space.Secondly original chaotic time series was reconstrucled in range space.Lastly on the basis of the above,the order of the nonlinear model was established and the nonlinear model was made use of to predict some research.The result indicates that the nonlinear model has very strong ability of approximation function,and Chaos prediction method has certain tutorial significance to the practical problems.

The inverse engineering is a region of study that developed rapidly in recent years.To carry out noise reducing treatment on large-scaled data obtained from measurement is one of the key techniques of inverse engineering.On the basis of analyzing the now existed data noise reduction method and adopting the wavelet technology-a new time and frequency analysis tool,the noise reducing treatment was conducted on data obtained from measurement.By means of data reconstruction on the active...

The inverse engineering is a region of study that developed rapidly in recent years.To carry out noise reducing treatment on large-scaled data obtained from measurement is one of the key techniques of inverse engineering.On the basis of analyzing the now existed data noise reduction method and adopting the wavelet technology-a new time and frequency analysis tool,the noise reducing treatment was conducted on data obtained from measurement.By means of data reconstruction on the active threshold value of detailed coefficient,the target of noise reduction has not only been achieved but also the characteristics information of data itself has been retained.