Spectral Phase Modulation
📐 Definition
Section titled “📐 Definition”Given phases , apply
to modify only the phase of each spectral component while preserving magnitude.
Domain and Codomain
Section titled “Domain and Codomain”Operates on complex Fourier coefficients over discrete or continuous spectra. Output shares the same domain with identical magnitudes.
⚙️ Key Properties
Section titled “⚙️ Key Properties”Unitary modulation: . In physical space, corresponds to convolution with a phase kernel given by the inverse transform of .
Linear phase produces spatial shifts; quadratic phase creates focusing or defocusing chirps. Zero phase leaves the signal unchanged.
🎯 Special Cases and Limits
Section titled “🎯 Special Cases and Limits”- Linear phase produces spatial shifts.
- Quadratic phase produces chirp-like focusing/defocusing behavior.
- leaves the signal unchanged.
🔗 Related Functions
Section titled “🔗 Related Functions”Dispersion relations apply phase accumulation during time stepping; spectral filtering alters magnitudes rather than phases.
Usage in Oakfield
Section titled “Usage in Oakfield”Oakfield applies spectral phase modulation in a few concrete places:
dispersionoperator multiplies Fourier bins by unit-magnitude complex factors to model dispersive phase evolution.- Mixer FM/PM modes apply phase modulation in the “signal processing” sense (e.g. ) for complex fields, which is the pointwise analogue of phase modulation.
Historical Foundations
Section titled “Historical Foundations”📜 Phase as a Spectral Degree of Freedom
Section titled “📜 Phase as a Spectral Degree of Freedom”Separating magnitude and phase is fundamental in Fourier analysis: magnitude encodes energy distribution and phase encodes alignment, shifts, and propagation.
🌍 Modern Perspective
Section titled “🌍 Modern Perspective”Phase-only spectral operators are common in wave simulation (dispersion steps), beam steering, and phase-based modulation of signals.
📚 References
Section titled “📚 References”- Stein & Shakarchi, Fourier Analysis
- Oppenheim & Schafer, Discrete-Time Signal Processing