vault backup: 2025-01-16 18:06:03

200 Library Papers/ME2046_Sampled_Data_Analysis_Reading_Chapter_2pdf2254ME.md

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+---
+readstatus: false
+dateread:
+title: "ME2046_Sampled_Data_Analysis_Reading_Chapter_2.pdf: 2254 ME 2046 SEC1000 DIGITAL CONTROL SYSTEMS"
+year: Error: `format` can only be applied to dates. Tried for format object
+authors:
+
+citekey: "ME2046_Sampled_Data_Analysis_Reading_Chapter_2pdf2254ME"
+
+
+
+
+
+
+
+---
+# Indexing Information
+## DOI
+[](https://doi.org/)
+## ISBN
+[](https://www.isbnsearch.org/isbn/)
+## Tags:
+
+
+>[!Abstract]
+>
+
+>[!note] Markdown Notes
+>None!
+
+>[!seealso] Related Papers
+>
+
+# Annotations
+
+>[!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*
+> 
+
+### Imported: 2025-01-16 6:03 pm
+
+

300s School/ME 2046 - Digital Control Theory/2025-01-09 Sampling Theory.md

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+# [[ME2046_Sampled_Data_Analysis_Reading_Chapter_2pdf2254ME]]
 # Impulse Sampling
 How do we represent a sequence of numbers?
 Impulse sampling does it by