Perlin Noise

noise · 36 views
noise

What It Is

Spectral Perlin-like noise --- coherent smooth fluctuations with 1/f amplitude falloff, widely used for procedural terrain and texture generation

Interpretation

Standard analysis sees: smooth / autocorrelated; long-range memory (persistent); red spectrum (low-frequency / 1-over-f power); volatility-clustering (bursty). The atlas finds no named structure, but the source is distinctively extreme on Spectral Analysis:spectral_r2 (+2.0z) — beyond what the standard bank predicts for it.

What standard analysis sees
tail heaviness0.54
asymmetry0.15
occupancy0.75
short-range corr0.90
long-range memory0.92
spectral colour0.14
periodicity0.79
complexity0.60
time-irreversibility0.33
volatility clustering0.90
multifractality0.53
dimensionality0.20
nonstationarity0.82
What the atlas adds
Atlas-extreme metrics the standard bank can’t predict for this source
Spectral Analysis:spectral_r2+2.0zbank-miss 1.6σ

Composition

dtypefloat64
range[-4.926, 3.454]
unique values16384 / 16384
mean ± std0 ± 1.81

Render Gallery

Atlas Position

Nearest neighborDistance
fBm (Persistent)1.87
Brownian Walk2.13
fBm (Antipersistent)2.24

Open in Atlas →

Which Geometries Light Up

Ammann-Beenker (Octagonal)Ammann-Beenker (Octagonal):convergent_resonancerank 3/2980.9370
Catch24Catch24:SP_Summaries_welch_rect_centroidrank 298/2980.0004
ChladniChladni:nodal_clusteringrank 5/2987.8501
Heisenberg (Nil) (centered)Heisenberg (Nil) (centered):xy_aspectrank 294/2980.0003
MoiréMoiré:moire_phi_responserank 297/298-0.1361
Sol (Thurston)Sol (Thurston):sol_step_persistencerank 2/2980.9048
Spectral AnalysisSpectral Analysis:spectral_r2rank 2/2980.9999
in waveform
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