Recreating the THX Deep Note – Earslap.  Read this blog post on how to create the THX Deep Note (the sound at the beginning of movies using THX).  It involves some signal processing – see if you can do it in MATLAB.  Here is professor Zucker’s implementation in shadertoy https://www.shadertoy.com/view/Mtf3zs.

Right now, the signal generator is only configured to create sine waves and square waves.  Code could be added to the U8903a GUI to enable the generation of triangle and Sawtooth waves.

Explore Fourier Transform and Filtering in 2 dimensions (i.e., images).

Put a heater on one end of a metal rod, and measure, predict and model the temperature along the length of the rod.

Read up on compartmental modeling and model some physiological system (e.g., glucose metabolism…)

Analyze and simulate the double pendulum without the small angle approximation.  Include an animation.

Build an electronic analog computer (a circuit analog to Simulink) using integrators and summers….

Try to model the friction of the double pendulum experiment.  The friction is closer to kinetic than viscous, so you’ll need a non-linear model (either your R-K, or simulink).  This has some interesting aspects to it (as friction often does).

Put a heater in a box and try modeling the temperature in the box over time.

Build a small dial with a pointer and measure the transfer function of your hand as you try to follow a moving target.

Try to predict the deformation of a spider’s web with a spider sitting on it – you could model the web as springs and dashpots.

Record the audio impulse response (pop a balloon) and record the audio impulse response of various locations around campus.  Play various sounds through the impulse response and explore the results.

We have a triple pendulum system – explore the modes of oscillation of this sixth order system, experimentally and in simulation.

Get data from double pendulum using a vision capture system.

Explore filter types (Butterworth, Chebyshev) – try them out on the EMG data from lab – see if you can get the same results as the BioRadio software (you can also play with the filters from within their data collection software)