Array Processing for Composite Wavefront Decomposition.

Cover Array Processing for Composite Wavefront Decomposition.
Array Processing for Composite Wavefront Decomposition.
Halpeny, Owen Simeon, 1940-
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This should be beneficial in studying the more complex subjects of multidimensional filtering. Chapter III, and maximum-likelihood estimation. Chapter IV.
The principal contribution of this chapter is the computa- tionally efficient direct FFT method of estimating the frequency- wavenumber power spectral density. This, too, will be used in succeeding chapters.
CHAPTER III MULTIDIMENSIONAL DIGITAL FILTERING This chapter has two purposes. The first is to present a method of realizing a digital fi
...lter (one -dimensional) for an arbitrary response specification given in the frequency domain. This technique is needed in the implementation of the maximum-likelihood filter which is, in turn, a necessary constituent of the maximum-likelihood estimator. The second purpose is to present a multidimensional filter which can be used to stop, pass or modify a traveling planewave.
This filter is necessary to reduce the multiwave maximum-likelihood estimation problem to that of a single wave estimation problem.


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