analysis:rhythms:step3
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analysis:rhythms:step3 [2016/03/29 19:40] mvdm |
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| ==== Motivating example: aliasing ==== | ==== Motivating example: aliasing ==== | ||
| - | Before you begin, do a ''git pull'' from the course repository. Also, to reproduce the figures shown here, change the default font size (''set(0,'DefaultAxesFontSize',18)'' -- a good place to put this is in your path shortcut). | + | Let's start with an example that illustrates what can go wrong if you are not aware of some basic sampling theory ideas. To do so, we will first construct a 10Hz signal, sampled at 1000Hz (i.e. we are taking 1000 measurements per second). Recalling that the frequency //f// of a sine wave is given by $y = sin(2 \pi f t)$: |
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| - | Let's start with an example that illustrates what can go wrong if you are not aware of some basic sampling theory ideas. To do so, we will first construct a 10Hz signal, sampled at 1000Hz. Recalling that the frequency //f// of a sine wave is given by $y = sin(2 \pi f t)$: | + | |
| <code matlab> | <code matlab> | ||
analysis/rhythms/step3.1459280404.txt.gz · Last modified: 2018/04/17 15:22 (external edit)
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