Week 02
Sampling and Quantization
I use the saved course file to reconnect sampling, baseband transmission, digital modulation, and error-rate analysis.
What I connect in this unit
Nyquist sampling keeps spectral replicas of a bandlimited signal from overlapping; an insufficient sample rate folds them into aliasing. Quantizing each sample to finite bit depth then adds amplitude error modeled as quantization noise.
Concept map
- Nyquist sampling
- Aliasing
- Quantization noise
- Bit depth
Technical anchor
A signal limited to B requires fs > 2B; for an N-bit uniform quantizer, Δ = Vrange/2^N and ideal quantization-error variance is Δ²/12.
How I review it
Compare sampled spectra for fs above and below 2B, then calculate how one extra quantizer bit changes step size and ideal SQNR.
Connection to the full course
Unit 2 of 12. Unit numbers expand topics from the saved file into a concept sequence, not an attendance-week record.