Parametric Homomorphic Deconvolution (Prony, ARMA)

Version 1.0.0 (2,23 KB) von Keonwook Kim
Parametric homomorphic deconvolution using Prony (ARMA) modeling to recover time-delay structure from a single-channel signal
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Aktualisiert 12. Aug 2025

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Purpose.
Recover the propagation (time-delay) response from a single-channel analog-summed microphone signal using homomorphic deconvolution followed by Prony (ARMA) modeling. Returns the parametric HD magnitude plus numerator/denominator coefficients and poles—handy for compact feature extraction and AoA regression.
[z22, vp2, Num2, Den2] = cep_prony6(Aord, data0, N, W, MM, novlp, normonoff, plotonoff)
Inputs
  • Aord — Prony model order (AR and MA orders both set to Aord).
  • data0 — Input vector; length must equal N + novlp*(MM-1).
  • N — Frame length (power of two recommended).
  • W — Quefrency gate length (samples).
  • MM — Ensemble length (# of frames to average).
  • novlpHop size (overlap = N - novlp).
  • normonoff1 to normalize z22 to unity max.
  • plotonoff1 to show HD magnitude and pole/zero plot.
Outputs
  • z22[N/2+1 × 1] parametric HD magnitude (DC…Nyquist).
  • vp2 — Prony poles (roots(Den2)).
  • Num2, Den2 — Prony MA/AR coefficients.

Zitieren als

Keonwook Kim (2025). Parametric Homomorphic Deconvolution (Prony, ARMA) (https://de.mathworks.com/matlabcentral/fileexchange/181788-parametric-homomorphic-deconvolution-prony-arma), MATLAB Central File Exchange. Abgerufen.

Park, Yeonseok, et al. “Parametric Estimations Based on Homomorphic Deconvolution for Time of Flight in Sound Source Localization System.” Sensors, vol. 20, no. 3, Feb. 2020, p. 925, https://doi.org/10.3390/s20030925.

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Kompatibilität der MATLAB-Version
Erstellt mit R2021a
Kompatibel mit R2021a bis R2025a
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Version Veröffentlicht Versionshinweise
1.0.0