2018
DOI: 10.1177/0020720918815997
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An elucidating proof that a matched filter is optimum

Abstract: A matched filter is an essential element in digital communications receivers. It is known that it is optimal, in the sense of producing sufficient statistics of maximum signal-to-noise ratio; a proof is presented in many undergraduate textbooks. Recent research in mathematics education suggests that the purpose of a proof is not merely to convince students that a theorem is true by pure logic; rather, a proof should be explanatory, with semantic content that elucidates the relationship between the concepts inv… Show more

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Cited by 1 publication
(2 citation statements)
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“…Assuming the noise covariance matrix R is known and the filter, characterized by the impulse response h(t), is linear and time-invariant, the MF will be based on maximization of the output signal-to-noise ratio (SNR) (Turin 1960, Robey et al 1992, Jiang et al, 2012, Bazdresch 2018, Ren et al 2022:…”
Section: Definition 2 the Characteristic Datasets Cmentioning
confidence: 99%
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“…Assuming the noise covariance matrix R is known and the filter, characterized by the impulse response h(t), is linear and time-invariant, the MF will be based on maximization of the output signal-to-noise ratio (SNR) (Turin 1960, Robey et al 1992, Jiang et al, 2012, Bazdresch 2018, Ren et al 2022:…”
Section: Definition 2 the Characteristic Datasets Cmentioning
confidence: 99%
“…where h H indicates the conjugate transpose of h. It follows from Eq.2 that the only type of linear filter that maximizes SNR is the following MF (Turin 1960, Haykin and Moher 2007, Bazdresch 2018, Zubeldia, et al 2021:…”
Section: Definition 2 the Characteristic Datasets Cmentioning
confidence: 99%