It was originally given as a 'job-test' exercise when I was applying for a job.

Also it was good excuse for me personally to learn more about:

• Python
• Numpy
• Pandas
• Anaconda
• Math: vector math, probability, DSP

Also I kind of like generating pretty charts.

It's time domain search of a specific signal and counting such signals. It serves no greater good, it was just an personal summer exercise. It's also inefficient & unoptimized.

Only if you want to know if I can write Python. Otherwise, no.

Finding sample in clean version of signal

Finding sample in signal with applied 25% of gaussian noise

Finding sample in synthetic version of signal (made out of samples)

Finding sample in synthetic version of signal, but with 33% of Gaussian noise applied

Processing steps on clean signal. First chart ORIG is sample. Second chart SIG is original signal. Other charts are processing steps.