Analogue, discrete-time, and digital signals form a processing chain.
Evidence
Signals that use electrical or electronic circuits and work with signal values on a continuous scale are called analogue signals and methods that process them are called analogue signal processing. Such signals are, in most cases, considered to be continuously observable in time and thus are called continuous-time signals. If such a continuous-time signal is sampled properly at specific moments in time, a discrete-time signal is obtained. When these samples are further converted to discrete numbers, the result is called a digital signal. Methods and techniques to cope with such number sequences are called digital signal processing, or DSP for short. — Ville Pulkki, Matti Karjalainen, Communication Acoustics- An…, 323
Categorization
Category: Definitional Content
- DEFINE: Lays out the analogue-to-discrete-to-digital signal hierarchy central to the book’s DSP applications.
Related
- Properly sampling continuous signals yields discrete and digital signals (similarity 0.93)
- Converting continuous sound to digital requires time sampling then numeric quantization (similarity 0.91)
- Digital sound gains only storage efficiency, since perception needs analog output (similarity 0.79)
- Sound is inherently analog, continuous in both time and value (similarity 0.79)
- Audio coding aims to reconstruct signals while other processing modifies them (similarity 0.78)
Broader Connections
- Digital audio storage is lossless yet still requires analogue transducers at the human interface
#expands(0.85) — Ville Pulkki, Matti Karjalainen, Communication Acoustics- An…, 80