Name
Title | ||
|---|---|---|
Time-Updating Iaa-Based Spectral Estimates With Missing Samples Using Data Interpolation |
Abstract | ||
|---|---|---|
In this work, we propose a computationally efficient time-updating algorithm for estimating the spectral content of a signal with missing samples. The algorithm extends earlier work on the topic by formulating a data-interpolation scheme reducing the required complexity to a fraction of the earlier efficient implementation, without resulting in any noticeable loss of performance for even a quite large degree of missing samples. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1109/ICASSP.2013.6638858 | 2013 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING (ICASSP) |
Keywords | Field | DocType |
Spectrum estimation theory and methods, Iterative Adaptive Approach (IAA), fast algorithms | Signal processing,Mathematical optimization,Pattern recognition,Iterative method,Computer science,Interpolation,Artificial intelligence | Conference |
ISSN | Citations | PageRank |
1520-6149 | 1 | 0.36 |
References | Authors | |
12 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| George-Othon Glentis | 1 | 129 | 13.59 |
| Andreas Jakobsson | 2 | 409 | 43.32 |
| Kostas Angelopoulos | 3 | 8 | 3.58 |