Abstract
In this paper, two optimal filter designs for fundamental frequency
estimation are presented with the first being based on a filterbank
and the second on a single filter. We show that the two designs are
related in a simple manner and result in the same residual when used
for cancelling out the harmonics. We propose to use this residual
for estimating the number of harmonics by combining a noise variance
estimate with an order dependent penalty term. This leads to
a joint estimator of the fundamental frequency and the order based
on the same criterion. Via Monte Carlo simulations, the estimator is
demonstrated to have good performance in terms of the percentage
of correctly estimated orders.
estimation are presented with the first being based on a filterbank
and the second on a single filter. We show that the two designs are
related in a simple manner and result in the same residual when used
for cancelling out the harmonics. We propose to use this residual
for estimating the number of harmonics by combining a noise variance
estimate with an order dependent penalty term. This leads to
a joint estimator of the fundamental frequency and the order based
on the same criterion. Via Monte Carlo simulations, the estimator is
demonstrated to have good performance in terms of the percentage
of correctly estimated orders.
| Original language | English |
|---|---|
| Publication status | Accepted/In press - 2009 |
| Event | 17th European Signal Processing Conference - Glasgow, Scotland Duration: 2009 Aug 24 → 2009 Aug 28 |
Conference
| Conference | 17th European Signal Processing Conference |
|---|---|
| Period | 2009/08/24 → 2009/08/28 |
Subject classification (UKÄ)
- Probability Theory and Statistics
Free keywords
- Acoustic signal analysis
- spectral analysis
- frequency estimation