Name
Abstract | ||
|---|---|---|
In propagation channels signals are undergone translation and dilation changes. The Fourier and Mellin transforms are natural foundations of the analysis of wideband signals. Three interconnected problems, where the Mellin transform plays a key role, are considered in the paper: i) synthesis of a linear matched filter that is invariant to signal scale; ii) estimation of the signal scale; and iii) ... |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1109/JSTSP.2015.2465309 | IEEE Journal of Selected Topics in Signal Processing |
Keywords | Field | DocType |
Transforms,Signal to noise ratio,Wideband,Parameter estimation,Matched filters | Mellin transform,Computer science,Fourier transform,Artificial intelligence,Matched filter,Ambiguity function,Computer vision,Wideband,Root-raised-cosine filter,Signal-to-noise ratio,Algorithm,Speech recognition,Filter design | Journal |
Volume | Issue | ISSN |
9 | 8 | 1932-4553 |
Citations | PageRank | References |
0 | 0.34 | 11 |
Authors | ||
1 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Andrei A. Monakov | 1 | 15 | 3.54 |