It is worth introducing the fact that capacitors especially are non-ideal. In an intro, that can be an offhand remark, but as soon as somebody leaves the audio frequencies, this becomes a really big deal. A 10µF capacitor, for instance, can easily have a self-resonance well below 1MHz. Without understanding parasitics, all kinds of real-world circuit behavior is highly mysterious. With a simulator in hand and some decent models for imperfect components, this is much easier.
I made a video just now on some testing I did because of how hard this bit me:
Greak Work! Fun fact, Filtering is also an important precursor to neural networks, infact a single layered nueral network today is nothing but an adaptive filter.
Man I wish someone explained low high and bandpass filters like this when I was studying EC engineering.
Really liked this post.
I would like to share some more interesting topics you can explore if you are interested.
1. Control systems, PID controllers and how they can implemented...
2. Difference between single mode optic fibre and multi mode optic fibres. How they are used in industry.
3. The process of semiconductor fabrication and how etching is performed.
If you are comfortable I am willing to write a post for you to share on satellite communication and topics like orbital dynamics and attitude, altitude adjustment of satellite systems.
This is a really nice and gentle introduction.
It is worth introducing the fact that capacitors especially are non-ideal. In an intro, that can be an offhand remark, but as soon as somebody leaves the audio frequencies, this becomes a really big deal. A 10µF capacitor, for instance, can easily have a self-resonance well below 1MHz. Without understanding parasitics, all kinds of real-world circuit behavior is highly mysterious. With a simulator in hand and some decent models for imperfect components, this is much easier.
I made a video just now on some testing I did because of how hard this bit me:
https://www.youtube.com/watch?v=fsE0bIpDPeU
Greak Work! Fun fact, Filtering is also an important precursor to neural networks, infact a single layered nueral network today is nothing but an adaptive filter.
Can you elaborate on that? I am not seeing it.
A single layer of weighted inputs(The weights is the filter) regressed every time step.
Man I wish someone explained low high and bandpass filters like this when I was studying EC engineering.
Really liked this post.
I would like to share some more interesting topics you can explore if you are interested.
1. Control systems, PID controllers and how they can implemented...
2. Difference between single mode optic fibre and multi mode optic fibres. How they are used in industry.
3. The process of semiconductor fabrication and how etching is performed.
If you are comfortable I am willing to write a post for you to share on satellite communication and topics like orbital dynamics and attitude, altitude adjustment of satellite systems.