2010
DOI: 10.1049/iet-spr.2009.0104
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Accurate and efficient implementation of the time–frequency matched filter

Abstract: The discrete time-frequency matched filter should replicate the continuous time-frequency matched filter. But the methods differ. To avoid aliasing the discrete method transforms the real-valued signal to the complex-valued analytic signal. The theory for the time-frequency matched filter does not consider the discrete case using the analytic signal. We find that the performance of the matched filter degrades when using the analytic, rather than real-valued, signal. This performance degradation is dependent on… Show more

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Cited by 24 publications
(15 citation statements)
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“…9 and 10, we can see that the T-lag has little effect on the classification results whereas the frequency-lag affects the classification results significantly. The reason is (15) and…”
Section: Classification Results With Some Estimated Errorsmentioning
confidence: 95%
“…9 and 10, we can see that the T-lag has little effect on the classification results whereas the frequency-lag affects the classification results significantly. The reason is (15) and…”
Section: Classification Results With Some Estimated Errorsmentioning
confidence: 95%
“…Based on the time-frequency representation of acceleration data, frequency bands suitable for analysis can be determined. Furthermore, information can be extracted from such representations to build time-frequency templates and atoms that can be used in applications like time-frequency matched filter [18] and time-frequency matching pursuit [19]. In this preliminary characterization of acceleration data, we have found that artifacts can mimic fetal movements (see Fig.…”
Section: Characterization Of Fetal Movementmentioning
confidence: 98%
“…Techniques such as TF matching pursuit [17] and TF matched filter [18] may use TF templates and atoms that can be generated based on these features. For instance, instantaneous frequency (IF) and group delay (GD) [19] and morphology of energy distribution [20] can be used as TF features in a detection application.…”
Section: Fetal Movement Detectionmentioning
confidence: 99%