This revision is from 2010/10/21 21:40. You can Restore it.
(I didn't start this Wiki before I had watched several of these videos. I might someday catch back up on Lectures 1-5.)
Lecture 1 -Introduction and lumped abstraction
- ...
Lecture 2 -Basic circuit analysis method (KVL and KCL mMethod)
- ...
Lecture 3 -Superposition, Thévenin and Norton
- ...
Lecture 4 -The digital abstraction
- ...
Lecture 5 -Inside the digital gate
- ...
Lecture 6 - Nonlinear Analysis
- Creates a device designed to send a signal over a garage door sensor
- Unfortunately, the thing sounds terribly, because it transmits non-linearly. The waveform gets distorted. Demo starts around 38:15
Lecture 7 - Incremental Analysis
- Fixes problem with Lecture 6's circuit. Student solutions involved going digital, which is over-solving the problem in this case.
- Non-linear curves are linear in a small enough segment. So what you do is "squish" and "bump".
- Squish = Attenuate the signal so that it has a smaller range
- Bump = Raise the minimum signal so that the swing is higher up on the response curve of the component
- Then you just amplify on the other end. Really neat.
- AKA Small-signal method
Lecture 8 - Dependent sources and amplifiers
- Reminder about circuit analysis:
- Composition (Thevenin/Norton analysis) can often simplify
- Node method is always there when all else fails. The "Workhorse"
Lecture 9 - MOSFET amplifier large signal analysis - part 2
Lecture 10 - Amplifiers - small signal model
Lecture 11 - Small signal circuits
Lecture 12 - Capacitors and first-order systems
Lecture 13 - Digital circuit speed
Lecture 15 - Second-order systems - part 2
Lecture 16 - Sinusoidal steady state
Lecture 17 - The impedance model
Lecture 19 - The operational amplifier abstraction
Lecture 20 - Operational amplifier circuits
Lecture 21 - Op amps positive feedback
Lecture 24 - Power conversion circuits and diodes
Lecture 25 - Violating the abstraction barrier