Abstract
In Part I techniques for reliably estimating the power spectral density function for both small and large samples of a stationary stochastic process were described. These techniques have been particularly successful in cases where the range of the spectrum is large. They are resistant to a moderate amount of contaminated or erroneous data. Here these procedures were demonstrated using examples from the development and analysis of the WT4 waveguide medium and compared to conventional techniques.

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