Name
Abstract | ||
|---|---|---|
This paper presents the integrated parameterized cubic phase function (IPCPF) for noisy multicomponent cubic phase signals (CPSs) analysis. The IPCPF is based on the parameterized cubic phase function (PCPF) and uses the modulus operator to guarantee a low computational cost [O(N
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log
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N)]. The cross terms, computational cost and antinoise performance are theoretically analyzed for the IPCPF and maximum likelihood (ML) method. Theoretical analyses and numerical simulations demonstrate that, compared to the ML method, the IPCPF can obtain a higher anti-noise performance with a lower computational cost. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1109/ICCAIS46528.2019.9074709 | 2019 International Conference on Control, Automation and Information Sciences (ICCAIS) |
Keywords | DocType | ISSN |
parameterized cubic phase function,cubic phase signal,maximum likelihood method | Conference | 2475-790X |
ISBN | Citations | PageRank |
978-1-7281-2312-7 | 0 | 0.34 |
References | Authors | |
8 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jibin Zheng | 1 | 131 | 12.74 |
| Hongwei Liu | 2 | 416 | 66.06 |
| Q. Liu | 3 | 292 | 71.17 |