For the purpose of improving the efficient of development and avoiding the troublesome,a method of combining Matlab and VC++ in dealing with trend item of signals was put forward.

Removal of Trend from Non-Stationary Signal Based on Wavelet Transformation;

Methods for signal trend extraction and their comparison;

The Method for Eliminating Trend of Axisymmetric Body in DR Testing

Aimed at the problem that there is a trend term in torsional vibration signal in the transient operation of internal combustion engine,an approach is presented to eliminate the trend term in order to enhance the analytic precision of amplitude frequency characteristics of torsional vibration for the crankshaft.

In this paper, a viewpoint, considering tha t the monitoring data of g round surface movement is synthesis of trend term, cycle term and random term, i s presented.

The trend term is distinguished from signal with the speciality of each scale corresponding to different frequency.

A novel improved MPEG video traffic model based on time series analysis presented by using trend component elimination and MA process in modelling.

The trend item is joined into random signals by making research on the achieving process of EMD method,non-stationary random signals are simulated with trended-mean,and the least square method,the wavelet method and EMD method to deal with the elimination of the trend item and to compare are used the mean,variance and correlation coefficient of the original signals with the eliminated signals.