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Truncation in survival analysis refers to the exclusion of individuals or events from the dataset based on specific criteria related to the time of the event. This exclusion can happen in two primary forms: left truncation and right truncation.
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The Fourier series is a powerful mathematical tool for representing periodic signals as an infinite sum of complex exponentials. In practice, this infinite series is truncated to a finite number of terms, yielding a partial sum. This truncation makes the approximation of the signal feasible but introduces certain challenges, particularly near discontinuities, known as the Gibbs phenomenon.
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When considering a sampled sequence with zero values between sampling instants, one can replace it by taking every N-th value of the sequence. At these integer multiples of N, the original and sampled sequences coincide. This process, known as decimation, involves extracting every N-th sample from a sequence, thereby creating a more efficient sequence.
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The truncation artifact

Brian Wosnitzer1, Ramesh Gadiraju, Gordon Depuey

  • 1Division of Nuclear Medicine, St. Luke's Roosevelt Hospital, New York, NY, USA. bwosnitzer@chpnet.org

Journal of Nuclear Cardiology : Official Publication of the American Society of Nuclear Cardiology
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PubMed
Summary

No abstract available in PubMed .

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