2007
DOI: 10.1049/el:20070267
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Comments on ‘Autocorrelation functions for Hermite-polynomial ultra-wideband pulses’

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Cited by 5 publications
(4 citation statements)
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“…The Hermite polynomials in the right-hand side of (12) are not orthogonal when multiplied by the weighting function of (11). Therefore, as we aim for a set of orthogonal Hermite functions, the polynomials are reformulated in terms of polynomials , which is achieved by the following identity [23]: (13) The product of two Hermite polynomials as in (11) can now be written as a vector-matrix-vector product as shown in (14) with elements corresponding to ( 12) and ( 13), respectively. .…”
Section: The Product Convolution and Correlation Of Hermite Functionsmentioning
confidence: 99%
See 1 more Smart Citation
“…The Hermite polynomials in the right-hand side of (12) are not orthogonal when multiplied by the weighting function of (11). Therefore, as we aim for a set of orthogonal Hermite functions, the polynomials are reformulated in terms of polynomials , which is achieved by the following identity [23]: (13) The product of two Hermite polynomials as in (11) can now be written as a vector-matrix-vector product as shown in (14) with elements corresponding to ( 12) and ( 13), respectively. .…”
Section: The Product Convolution and Correlation Of Hermite Functionsmentioning
confidence: 99%
“…Autocorrelation functions of Hermite functions have first been addressed by Miller in 2003 [12]. In response to that article, Nadarajah derived the autocorrelation functions for Hermite functions [13]. Cross-correlation functions for Hermite functions have also been derived in terms of associated Laguerre polynomials [14].…”
mentioning
confidence: 99%
“…In response to that article, Nadarajah derived the autocorrelation functions for Hermite functions [58]. Cross-correlation functions for Hermite functions have also been derived in terms of associated Laguerre polynomials [59].…”
Section: Related Work and Outlinementioning
confidence: 99%
“…The frequency domain representation of MHPs of order 0, 1,2 and 3 can be expressed as (2.7) The autocorrelation functions of nth order MHPs are defined as [53,54] (2.8)…”
Section: Chapter 2 Ultra Wideband Radio Systems: a Reviewmentioning
confidence: 99%