Search Results - "Bodenschatz, J.S."

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  1. 1

    Maximum-likelihood symmetric /spl alpha/-stable parameter estimation by Bodenschatz, J.S., Nikias, C.L.

    Published in IEEE transactions on signal processing (01-05-1999)
    “…Using the close relation between Fisher scoring and Newton maximization, and an efficient density function evaluation, we develop a fast maximum-likelihood…”
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    Journal Article
  2. 2

    Maximum-likelihood symmetric α-stable parameter estimation by BODENSCHATZ, J. S, NIKIAS, C. L

    Published in IEEE transactions on signal processing (01-05-1999)
    “…Using the close relation between Fisher scoring and Newton maximization, and an efficient density function evaluation, we develop a fast maximum-likelihood…”
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    Journal Article
  3. 3

    Symmetric alpha-stable filter theory by Bodenschatz, J.S., Nikias, C.L.

    Published in IEEE transactions on signal processing (01-09-1997)
    “…Symmetric /spl alpha/-stable (S/spl alpha/S) processes are used to model infinite-variance impulsive noise. In general, Wiener filter theory is not meaningful…”
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    Journal Article
  4. 4

    Symmetric alpha-stable filter theory by Bodenschatz, J.S.

    “…Symmetric /spl alpha/-stable (S/spl alpha/S) processes are used to model impulsive noise. Wiener filter theory is generally not meaningful in S/spl alpha/S…”
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    Conference Proceeding
  5. 5

    Recursive local orthogonality filtering by Bodenschatz, J.S., Nikias, C.L.

    Published in IEEE transactions on signal processing (01-09-1997)
    “…Recursive local orthogonality (RLO) is a stochastic Newton algorithm to achieve a condition we term local orthogonality, which only requires unimodal symmetric…”
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    Journal Article
  6. 6

    Separation of non-spontaneous and spontaneous speech by Kenny, O.P., Nelson, D.J., Bodenschatz, J.S., McMonagle, H.A.

    “…There are many situations in which it is desirable to be able to distinguish spontaneous speech and speech which is non-spontaneous. Examples of situations in…”
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    Conference Proceeding