vault backup: 2025-02-10 09:40:11

200 Library Papers/ME2046_Sampled_Data_Analysis_Reading_Chapter_2pdf2254ME.md

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 # Indexing Information
-## DOI
-[](https://doi.org/)
-## ISBN
-[](https://www.isbnsearch.org/isbn/)
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 # Annotations
 
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 > *The result is illustrated in Figure 2.8. Note that the reconstructed signal is lagging behind the original signal. The reason is that the sampled signal did not contain values before t = 0 and only has finite terms. The interpolation formula is based on infinite series with both past and future samples available.*
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 > * (  ) mod( )   1 N S N*
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 > >[!note] Note
 > >NOTE! This uses the NYQUIST frequency. NOT the sampling frequency.
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 > *One serious problem with the ideal low-pass filter given by Eq. (2.10) is that the filter is non-causal, since h(t) is nonzero for t < 0. h(t) starts at t   while the impulse that triggers the response does not occur until t  0*
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-### Imported: 2025-02-10 9:27 am
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+## Tasks
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+- [ ] he Laplace trans
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+  > Note: blah blah blah blah
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+### Imported: 2025-02-10 9:37 am