Least squares multi-window evolutionary spectral estimation

Temel Bulgular & Veri:This method is based on optimal combination of evolutionary spectra that are calculated by using multi-window Gabor expansion.

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Sonuç & Katkı:Examples are given to illustrate the effectiveness of the proposed method.

🔬Tür:Araştırma Makalesi

📍Kapsam:Genişletilmiş Akademik Örneklem

⚙️Değişkenler:Alan Parametreleri

Abstract

We present a multi-window method for obtaining the time-frequency spectrum of non-stationary signals such as speech and music. This method is based on optimal combination of evolutionary spectra that are calculated by using multi-window Gabor expansion. The optimal weights are obtained by using a least square estimation method. An error criterion that is the squared distance between a reference time-frequency distribution and the combination of evolutionary spectra is minimized to determine the weights. Examples are given to illustrate the effectiveness of the proposed method.

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Bu Makaleye Atıf Yap

AKAN, A., YALÇIN, M. (2022). Least squares multi-window evolutionary spectral estimation. Istanbul University Journal of Electrical and Electronics Engineering, Cilt: 3 - Sayı: 2, 899–903. https://ajindex.com/articles/543905

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Kaynakça (12)

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