Spectral & time-frequency#
Spectrogram conditioning, Hilbert-Huang, peak detection and method comparison.
Spectrogram: Normalization and Cleaning
Convert raw spectrogram power to SNR or relative units, then remove lines and artifacts with clean().
HHT: Analysis
Hilbert-Huang Transform for nonlinear, non-stationary signals and instantaneous frequency extraction.
Peak Detection: Finding Peaks
Detect peaks in TimeSeries / FrequencySeries with physical-unit constraints on distance, height, and width.
Peak Tracking: Time Evolution
Follow a spectral line through time across a spectrogram, e.g. drifting power-line harmonics or violin modes.
Time-Frequency Analysis: Interactive Comparison
Compare STFT and Q-transform baselines against other time-frequency methods and see when each is the right choice.