Obsidian/200 Library Papers/ME2046_Sampled_Data_Analysis_Reading_Chapter_2pdf2254ME.md

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[!attention] Highlight > ``` 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.


[!attention] Highlight 
> ```

 (  ) mod( )  1 N S N

> >[!note] Note
>NOTE! This uses the NYQUIST frequency. NOT the sampling frequency.

[!attention] Highlight > ``` 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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  • he Laplace trans

    Note: blah blah blah blah

Imported: 2025-02-10 10:25 am