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Math · Advanced
Sampling & Digital Signals
Every digital photo, song and phone call starts as a smooth, continuous signal that has to be turned into numbers. Learn how sampling works, why sampling too slowly creates phantom frequencies, the theorem that says how fast is fast enough, how bits, quantization and compression shape what you hear, how filters clean up noisy signals, and how the FFT finds hidden frequencies.
7 lessons~35 min0/7 complete
Start courseHelpful background: Fourier Series
1
Sampling
Snapshots of a signal.
2
Going Digital
The sampling theorem, bits and compression.
3
Processing Signals
Filters, and finding frequencies with the DFT.