Abstract
The objective of this paper is to compare the performance of the Matrix Pencil Method, particularly the Total Forward-Backward Matrix Pencil Method, and the Fourier Transform Technique for high-resolution spectral estimation. Performance of each of the techniques, in terms of bias and variance, in the presence of noise is studied and the results are compared to those of the Cramer-Rao Bound.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 108-125 |
| Number of pages | 18 |
| Journal | Digital Signal Processing: A Review Journal |
| Volume | 6 |
| Issue number | 2 |
| DOIs | |
| State | Published - Apr 1996 |
ASJC Scopus subject areas
- Artificial Intelligence
- Signal Processing
- Applied Mathematics
- Electrical and Electronic Engineering
- Computer Vision and Pattern Recognition
- Statistics, Probability and Uncertainty
- Computational Theory and Mathematics