Signal sampling
Measuring a continuous signal at regular instants to turn it into a discrete sequence.
At a glance
Key signals
40% cross fields · reaches 7 more
- Signal Processing
- Mathematics
- Explanation
- Examples
- Misconception
- Sourced relations 5
- Attribution
Dependencies
What this concept builds on and what it makes possible — derived from the atlas’s dependency, causal and structural relations, not from every related edge.
Enables · leads to
Aliasingemerges fromSignal samplingEstablished
aliasing emerges from signal sampling.
Mechanism: Aliasing is what happens when sampling is too slow for the content.
- Wikipedia (English & German editions) verifiedmoderate evidence
Samplerdepends onSignal samplingEstablished
sampler depends on signal sampling.
Mechanism: A sampler stores and replays sampled audio.
- Wikipedia (English & German editions) verifiedmoderate evidence
System context
Signal samplingis part ofDigital audioEstablished
signal sampling is part of digital audio.
Mechanism: Sampling produces the sample stream that digital audio is made of.
- Wikipedia (English & German editions) verifiedmoderate evidence
Structural role & consequence
Interpreted from the current atlas graph — what the connections mean, not just how many there are.
Removing this node severs the only sampled structural route between Sampler and Signal — a non-redundant bridge here.
structural · Structural removal simulation — not a historical or causal counterfactual.
40% of its relationships cross field boundaries, reaching 7 other disciplines — above the 14% median of 33 concepts in the same discipline.
structural · Structural graph analysis — not a claim of importance, causation or history.
Currently dark in the atlas: no key date stored · 5 of 5 of its relations lack claim-level evidence.
atlas representation · Describes the current Thinking OS representation, not the state of the world.
Structural neighbourhood: 5 → 22 → 70 concepts reachable within 3 hops.
structural · Structural reach — being reachable is not the same as being understood.
cross-field
3 within-field, 2 cross-field
Strengths & constraints
Strengths
- Cross-disciplinary connector — 40% of its relationships cross field boundaries. structural
Constraints
- Evidence coverage currently thin in the atlas — few of its relationships carry claim-level evidence. atlas representation
- Non-redundant bridge — removing it severs a sampled route between neighbouring clusters. structural
- No dated history stored — the atlas records no key date for this concept. atlas representation
Conditions
- Read structurally — most of its relationships carry no external evidence yet, so claims here are graph-derived. structural
Dependency radial
What this concept builds on (left) and what it makes possible (right) — derived from dependency and causal relations.
What builds on this
1 concept build on this directly, 1 in total, across 2 disciplines.
Structural downstream reach along dependency edges — not a claim of historical necessity.
Seen through each discipline
How this concept sits in each of its fields — derived from its real connections in the graph, not asserted.
Through this lens it connects to Digital audio, Sampling rate and Aliasing.
Related ideas to explore
Concepts that look related but are not yet connected here — candidates for a connection to reason about, not established links.
This idea also appears in…
The same structure shows up in other disciplines. These are real recurrences drawn from the graph — a starting point for asking “what carries over, and what changes?”
- Connects 5 other ideas across 2 disciplines.
- A cross-disciplinary bridge — its connections reach into 7 other fields.
- Most of its connections are of the “Kind & structure” kind.
Derived from the graph’s real structure — observations, not a score.
Sources
- Wikipedia (English & German editions) verifiedmoderate evidence
- Advert Nonuniform Sampling (2002) verified
- Announcement Nonuniform Sampling: (2002) verified