An adaptive correlation ratio method

An adaptive correlation ratio method using the cumulative sum of the reordered output

We consider correlation ratios as estimators for first order sensitivity indices from given data. The computation is simplified by the introduction of the cumulative sum of the normalised reordered output. Ideas for the estimation using interpolation are also discussed.

On the Ratio-correlation Regression Method

An Evaluation of an Adaptive Generalized Likelihood Ratio Charts for Monitoring the Process Mean

When the objective is quick detection both small and large shifts in the process mean with normal distribution, the generalized likelihood ratio (GLR) control charts have better performance as compared to other control charts. Only the fixed parameters are used in Reynolds and Lou’s presented charts. According to the studies, using variable parameters, detect process shifts faster than fixed pa...

An Adaptive Segmentation Method Using Fractal Dimension and Wavelet Transform

In analyzing a signal, especially a non-stationary signal, it is often necessary the desired signal to be segmented into small epochs. Segmentation can be performed by splitting the signal at time instances where signal amplitude or frequency change. In this paper, the signal is initially decomposed into signals with different frequency bands using wavelet transform. Then, fractal dimension of ...

An Adaptive Image Reconstruction Method an Adaptive Image Reconstruction Method

A new adaptive regression type of image destriping method is introduced to reconstruct missing lines in mul-tispectral images. The method uses available information from the failed pixel surrounding due to spectral and spatial correlation of multispectral data. The reconstruction is based on two mutually competing adaptive regression models from which the locally optimal predictor is selected.