Abstract
The computation of the Capon and the amplitude and phase estimation (APES) filters can be very time consuming. The burden lies not only in the inversion of the sample covariance matrix, but also in the matrix multiplications. In this paper, we propose an efficient algorithm for the computation of the above mentioned filters, using Cholesky factorization and fast Fourier transforms. Furthermore, we discuss and illustrate the benefits of using the proposed algorithms in the spectral analysis of data with missing samples.
Original language | English |
---|---|
Title of host publication | 2007 Conference Record of the Forty-First Asilomar Conference on Signals, Systems and Computers |
Publisher | IEEE - Institute of Electrical and Electronics Engineers Inc. |
Pages | 427-430 |
Publication status | Published - 2007 |
Externally published | Yes |
Event | 41st Asilomar Conference on Signals, Systems and Computers, 2007 - Pacific Grove, Pacific Grove, CA, United States Duration: 2007 Nov 4 → 2007 Nov 7 Conference number: 41 |
Publication series
Name | |
---|---|
ISSN (Print) | 1058-6393 |
Conference
Conference | 41st Asilomar Conference on Signals, Systems and Computers, 2007 |
---|---|
Country/Territory | United States |
City | Pacific Grove, CA |
Period | 2007/11/04 → 2007/11/07 |
Subject classification (UKÄ)
- Probability Theory and Statistics
Free keywords
- fast Fourier transforms
- Capon filters
- APES filters
- amplitude estimation
- phase estimation
- covariance matrix
- matrix multiplications
- Cholesky factorization