Explains the concept of Convolution and explains how it arises is linear time invariant (LTI) systems and also in the probability of random variables.
Note that there is a minor "typo" at 8:14 min, where I wrote x(tau) when I should have written z(tau), inside the integral.
Check out my 'search for signals in everyday life', by following my social media feeds:
Facebook: https://www.facebook.com/profile.php?id=100091651540952
Instagram: https://www.instagram.com/iainexplains/
Related videos: (http://iaincollings.com)
• How to Understand Convolution https://youtu.be/x3Fdd6V_Hok
• Convolution in 5 Easy Steps https://youtu.be/aMaw4EumwyE
• Convolution Equation explained https://youtu.be/RmePGKWOSMQ
• Convolution Square with Rectangle https://youtu.be/xVbONyYEipU
• Convolution with Delta https://youtu.be/TIcfY19dk0c
• Convolution Square with Exponential https://youtu.be/lsHkWFBm3so
• Convolution of Two Exponentials https://youtu.be/4_LB3vTGXAs
• What is a p.d.f.? https://youtu.be/jUFbY5u-DMs
• What is Gaussian Noise? https://youtu.be/VIvYxnhkvvc
• What is White Gaussian Noise (WGN)? https://youtu.be/QfUQMzHfbxs
Full list of categorised videos and Summary Sheets: http://iaincollings.com
.