Abstract
An approach to spectral analysis is presented that consists of two stages of processing. The first stage is used to reduce the variance of the noise using an adaptive line enhancer (ALE). The output of the ALE is a spectral estimate with reduced noise variance but a coarse frequency resolution. The second stage of processing is used to improve the frequency resolution of this coarse spectral estimate. It is shown that the frequency resolution of a discrete spectrum can be improved by a factor of 2 to 3 over the standard resolution limit. This is achieved by deconvolving the blurred spectrum using a modified linear programming algorithm. Aside from its superresolving capability, the method shows significant improvement in accuracy, i. e. , finding the location of tones in the spectrum.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 2351-2354 |
| Number of pages | 4 |
| Journal | ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings |
| State | Published - Dec 1 1986 |
All Science Journal Classification (ASJC) codes
- Software
- Signal Processing
- Electrical and Electronic Engineering