| Title | On Optimal Filter Designs for Fundamental Frequency Estimation |
| Authors | Mads G. Christensen, Jesper H. Jensen, Andreas Jakobsson, Sören H. Jensen |
| Full-text | Available as PDF, Restricted Access |
| Alternative Location | http://dx.doi.org/10.1109/L..., Restricted Access |
| Publication | IEEE Signal Processing Letters |
| Year | 2008 |
| Volume | 15 |
| Pages | 745 - 748 |
| Document type | Article |
| Status | Published |
| Quality controlled | Yes |
| Language | eng |
| Abstract English | Recently, we proposed using Capon's minimum variance principle to find the fundamental frequency of a periodic waveform. The resulting estimator is formed such that it maximizes the output power of a bank of filters. We present an alternative optimal single filter design and then proceed to quantify the similarities and differences between the estimators using asymptotic analysis and Monte Carlo simulations. Our analysis shows that the single filter can be expressed in terms of the optimal filterbank and that the methods are asymptotically equivalent but generally different for finite length signals. |
| Keywords | optimal filterbank, optimal filter designs, fundamental frequency estimation, Capon minimum variance principle, periodic waveform, asymptotic analysis, Monte Carlo simulations, |
| ISBN/ISSN/Other | ISSN: 1070-9908 |
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