Signals and Systems
∿ Discrete-Time Signal Processing
Turning continuous signals into discrete data and back — sampling, quantization, and the digital-filter view of the world.
2 concepts— start at the top and work your way down
- 1→
Quantization
Rounding a continuous-amplitude signal to a finite set of discrete levels — the source of quantization error, and the tradeoff behind every bit-depth choice.
- 2→
Z-Transform
The discrete-time counterpart to the Laplace transform — turning a sequence of samples into a function of a complex variable, and the foundation of digital filter design.