Estimating Optimum Filter Length in Linear Prediction

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Abstract:

In this article a new method to estimate optimum filter length in linear prediction is described. Linear prediction was used to en- hance resolution of a spectrum. In particular, the dependence of prediction error on filter length has been studied. With calculations of simulated spectra it is shown that the prediction error falls rapidly when the filter length attains its optimum value. This effect is quite pronounced when the spectrum has a good signal-to-noise ratio and the modified covariance method is used to calculate prediction filter coefficients. The method is illustrated with applications to real Raman spectra.

Keywords: LINEAR PREDICTION RESOLUTION ENHANCEMENT RAMAN SPECTROSCOPY

Document Type: Research Article

DOI: http://dx.doi.org/10.1366/0003702971940864

Publication date: May 1, 1997

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