Thinking·OS
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In graph Frontier
Signal ProcessingEstablished

Digital filter

An algorithm that boosts or removes chosen frequency ranges of a sampled signal.

Digital filterAnti-aliasing filterEqualizationConvolutionSignalAliasingAudio mixingTimbreReverberation

At a glance

Type
computation
Disciplines 1
Signal Processing
Mental models 0
—
Role in the graph
Cross-disciplinary bridge
reaches 7 discipline lenses

Key signals

Cross-disciplinary reach
Disciplines
1
  • Signal Processing
Evidence & development

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.

Foundations · builds on

Digital filterdepends onConvolutionEstablished

Open Convolution →

digital filter depends on convolution.

Mechanism: Linear filtering is implemented as convolution with the filter kernel.

Sources:
ConvolutionenablesDigital filterEstablished

Open Convolution →

convolution enables digital filter.

Mechanism: Filtering a signal is convolving it with the filter's impulse response.

Sources:

System context

Anti-aliasing filteris aDigital filterEstablished

Open Anti-aliasing filter →

anti-aliasing filter is a kind of digital filter.

Mechanism: It is a filter placed in the analogue path ahead of the converter.

Sources:
Equalizationis aDigital filterEstablished

Open Equalization →

equalization is a kind of digital filter.

Mechanism: An equaliser is a set of filters shaping the spectrum.

Sources:

Structural role & consequence

Interpreted from the current atlas graph — what the connections mean, not just how many there are.

  • 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.

  • Builds on 2 foundations (requires / depends-on / derived-from / emerges-from).

    structural · Structural graph analysis — not a claim of importance, causation or history.

  • Structural neighbourhood: 4 → 18 → 71 concepts reachable within 3 hops.

    structural · Structural reach — being reachable is not the same as being understood.

25%

cross-field
3 within-field, 1 cross-field

0 of 5 relations carry evidence · concept has a verified source

Strengths & constraints

Constraints

  • Evidence coverage currently thin in the atlas — few of its relationships carry claim-level evidence. atlas representation
  • No dated history stored — the atlas records no key date for this concept. atlas representation

Conditions

  • Its dependency reading rests on 2 foundation relations. structural
  • 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.

ConvolutionConvolutionDigital filter◀ builds onenables ▶

Seen through each discipline

How this concept sits in each of its fields — derived from its real connections in the graph, not asserted.

Signal Processing

Through this lens it connects to Convolution, Convolution, Equalization and Anti-aliasing filter.

Digital filter through the Signal Processing lens →

Formula

digital filter

Source: Wikidata

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?”

Concepts

  • SignalInformation TheoryElectrical EngineeringNeuroscience

    crosses a discipline boundary

The scientific picture
  • Connects 4 other ideas across 1 discipline.
  • 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