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PC using LabVIEW and GPIB to control oscilloscopes, arbitrary function generators, power supplies and a data acquisition card.
Drive any COMM channel that you can monitor and control input and output and detect bit errors.
Analyze the relationship with S/N and BER and Eye Diagram to understand Shannon's Law.
or
Model the signals on your USB port to a peripheral. Get USB extension cables and scope the signals to see what happens when the cable is extended to 1 m, 2m, 3m.
Use differential or two match probes in differential mode. And find all the sources of noise on the signals and margin for error. Simulate a noise ingress situation using a pulse generator with various small capacitor values ( 10, 100 or 1000 pf) coupling to the data line, to see how impedance ratios, capacitance value and signal levels affect errors ingress of noise and test to the point of failure and observe the effects on traffic and system error recovery and fault reporting.
Or try the same with RS232 and find how much noise it can tolerate.
or
do an analysis of Bit Error Rate (BER) for Wifi, where you can monitor RSSI in [dBm] of WiFi chip with certain driver or tool in PC.
Then plot the BER vs RSSI vs Bit rate which auto-adjusts .
For fun test 54MB/s Wifi from -70 to -80dB range and find how many deadspots or locations where streaming video stops ( watch network thruput plot) or slows dues to error and changes bitrate. Then find the optimum bit rate under marginal conditions and how to optimize it. Calculate the 1/2 wavelength of your channel and estimate the length of a deadspot maybe 1% of that length where echos cancel in opposite phase but exact equal amplitude in the carrier.
Try to see if the errors are downstream or upstream and find all sources of interference in this range by doing tests with human motion near antenna, slight directional shifts of laptop or any other simulation of Raleigh Fading.
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