Spectrum estimation techniques for characterization and development of WT4 waveguide–I

Techniques for reliably estimating the power spectral density function for both small and large samples of a stationary stochastic process are described. These techniques have been particularly successful in cases where the range of the spectrum is large. The methods are resistant to a moderate amount of contaminated or erroneous data and are well suited for use with auxiliary tests for stationarity and normality. Part I is concerned with background and theoretical considerations while examples from the development and analysis of the WT4 waveguide medium will be discussed in Part II, next issue.