Name
Title | ||
|---|---|---|
On Generalized Auto-Spectral Coherence Function and Its Applications to Signal Detection |
Abstract | ||
|---|---|---|
Considering that spectral components of one random process are not necessarily independent for all types of signals, this paper defines a generalized auto-spectral coherence function (GAS-CF) to measure this spectral correlation. The GAS-CF is a generalization of the temporal coherence function and the spectral coherence function, where they have already been successfully applied to detect howling components and transient noise components, respectively. After defining the GAS-CF, this paper studies its statistical properties in detail. Simulation results show that the proposed GAS-CF can be applied to detect different types of signals, including transient noise, howling frequency and chirp signal, in a simple way. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1109/LSP.2014.2310772 | IEEE Signal Process. Lett. |
Keywords | Field | DocType |
temporal coherence,generalized auto-spectral coherence function,spectral components,auto-spectral coherence,chirp signal,gas-cf,howling frequency,temporal coherence function,transient noise components,transient noise,signal detection,howling components detection,noise,speech,estimation,chirp,coherence,random processes | Pattern recognition,Detection theory,Coherence (signal processing),Stochastic process,Correlation,Artificial intelligence,Chirp,Transient noise,Mathematics | Journal |
Volume | Issue | ISSN |
21 | 5 | 1070-9908 |
Citations | PageRank | References |
4 | 0.46 | 5 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Chengshi Zheng | 1 | 32 | 11.66 |
| Hefei Yang | 2 | 4 | 0.46 |
| Xiaodong Li | 3 | 4 | 0.80 |