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analysis:rhythms:step3 [2016/03/29 15:39]
mvdm created
analysis:rhythms:step3 [2016/03/29 15:41]
mvdm
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   * Understand the fundamentals of sampling theory: Nyquist frequency, aliasing   * Understand the fundamentals of sampling theory: Nyquist frequency, aliasing
   * Learn why and how to use anti-aliasing filters   * Learn why and how to use anti-aliasing filters
-  * Reconstruct a signal from sampled data +  
-  * Examine the file structure of Neuralynx continuously sampled data in detail +Resources ​(optional):
- +
-Resources:+
  
   * (intuitive background) [[http://​redwood.berkeley.edu/​bruno/​npb261/​aliasing.pdf | nice, quick intro]] to aliasing by Bruno Olshausen, with some connections to the human visual system   * (intuitive background) [[http://​redwood.berkeley.edu/​bruno/​npb261/​aliasing.pdf | nice, quick intro]] to aliasing by Bruno Olshausen, with some connections to the human visual system
-  * (more technical background, optional) read Chapter 3 of the [[analysis:​course-w16|Leis book]]. Skip sections 3.4.3, 3.4.4, 3.4.5, 3.4.6, 3.4.7, 3.7. Skim section 3.6.+  * (more technical background) read Chapter 3 of the [[analysis:​course-w16|Leis book]]. Skip sections 3.4.3, 3.4.4, 3.4.5, 3.4.6, 3.4.7, 3.7. Skim section 3.6.
  
 ==== Introductory remarks ==== ==== Introductory remarks ====
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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 $y = sin(2 \pi f t)$:
- +
-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.txt · Last modified: 2018/07/07 10:19 (external edit)