Abstract
We present some results of our analysis of Kumaresan's sparse linear prediction method for estimation of frequencies of sinusoids. Refinements of Kumaresan's method are proposed for the case of two sinusoids which are not close in frequency. When the data is corrupted by additive white Gaussian noise, the probability of correctly resolving ambiguities is used to evaluate the performance. Comparisons between statistical performance analyses and computer simulations demonstrate that the analyses are accurate.
| Original language | English (US) |
|---|---|
| Title of host publication | Conference Record of the Asilomar Conference of Signals, Systems & Computers |
| Publisher | Publ by IEEE |
| Pages | 1162-1166 |
| Number of pages | 5 |
| Volume | 2 |
| ISBN (Print) | 0818641207 |
| State | Published - Dec 1 1993 |
| Externally published | Yes |
| Event | Proceedings of the 27th Asilomar Conference on Signals, Systems & Computers - Pacific Grove, CA, USA Duration: Nov 1 1993 → Nov 3 1993 |
Other
| Other | Proceedings of the 27th Asilomar Conference on Signals, Systems & Computers |
|---|---|
| City | Pacific Grove, CA, USA |
| Period | 11/1/93 → 11/3/93 |
All Science Journal Classification (ASJC) codes
- Hardware and Architecture
- Signal Processing
- Electrical and Electronic Engineering