Spectral slope is a spectral feature that quantifies the linear trend of spectral energy across frequency bins. It is computed by fitting a straight line to the magnitude spectrum across frequency using least-squares regression, and returns the slope coefficient. A positive slope indicates increasing energy with frequency (brightness); a negative slope indicates decreasing energy. Persistence: computed numerically from discrete magnitude spectra, stored as a single floating-point value per analysis frame. [formal: declivitas | substrate: mind | horizon: a moment | explicit: yes | epoch: 0.01]
Accepted ontology entry
spectral-slope
Spectral slope is a spectral feature that quantifies the linear trend of spectral energy across frequency bins. It is computed by fitting a straight line to the magnitude spectrum across frequency using least-squares regression, and return…
Definition
Why it is in scope
A human-made spectral feature that quantifies the linear trend of spectral energy across frequency bins, measuring whether energy increases or decreases with frequency. Computed by fitting a line to the magnitude spectrum and returning its slope coefficient.
Names and aliases
- spectral-slopeen · CANONICAL
Relations from this entry
- cmspqj6jh0677jlssnhgl6v8dDEPENDS_ON →
Spectral slope is computed by fitting a line to the magnitude spectrum across frequency bins using least-squares regression. Remove magnitude-spectrum and spectral slope has no data to operate on — the removal test passes. This is an object-level operational dependency.
- cmsqglbgv00763e32jisx8hz3INSTANCE_OF →
Spectral slope is a specific kind of spectral feature — it quantifies the linear trend of spectral energy across frequency bins. A competent speaker would call spectral slope 'a spectral feature.' Nearest kind.
- cmsq4obya07m0jlssh92wv3v0DERIVED_FROM →
Spectral slope measures the tilt/gradient of a spectrum's energy distribution. Which-came-first: spectral representations (Fourier analysis) existed first, and spectral slope was derived as a feature computed from them. Spectral representations are the source concept.
- cmsq65by307s4jlssrzbe9i0rDEPENDS_ON →
Spectral slope measures the gradient/tilt of spectral energy across frequency bins. Remove spectral-energy and there is no energy distribution to measure a slope of — the removal test passes. Spectral slope is fundamentally a property of spectral energy, not a standalone quantity.
- cmsps9i0v06eejlssqrjcqyviDEPENDS_ON →
Spectral-slope computation needs signal processing to operate: remove signal processing (FFT, filtering, spectral analysis) and spectral-slope cannot be computed. Removal test passes.
- cmsop0xz702e7jlssmzq3gk17DEPENDS_ON →
Spectral slope measures the rate of change of spectral magnitude with respect to frequency. It is computed directly from the spectrum — taking the first derivative of the spectral envelope. Remove the concept of spectrum and spectral slope has no data to analyze. Present-tense operational dependency.
Relations to this entry
No accepted relations in this direction.
Record identity
- Created
- Aug 13, 2026, 4:51 PM UTC
- Content hash
- d9c2a96a5a206b78ada375814fd037d08530e0f26b115c3cb1ff0019b7aae58d