| Title |
Signal parameter estimation of complex exponentials using fourth order statistics: additive Gaussian noise environment
|
|---|---|
| Published in |
SpringerPlus, July 2015
|
| DOI | 10.1186/s40064-015-1131-3 |
| Pubmed ID | |
| Authors |
Pradip Sircar, Mukesh K Dutta, Sudipta Mukhopadhyay |
| Abstract |
A novel approach based on fourth order statistics is presented for estimating the parameters of the complex exponential signal model in additive colored Gaussian noise whose autocorrelation function is not known. Monte Carlo simulations demonstrate that the proposed method performs better than an existing method which also utilizes fourth order statistics under the similar noise condition. To deal with the non-stationarity of the modeled signal, various concepts are introduced while extending the estimation technique based on linear prediction to the higher order statistics domain. It is illustrated that the accuracy of parameter estimation in this case improves due to better handling of signal non-stationarity. While forming the fourth order moment/ cumulant of a signal, the choice of the lag-parameters is crucial. It has been demonstrated that the symmetric fourth order moment/ cumulant as defined in this paper will have many desirable properties. |
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Geographical breakdown
| Country | Count | As % |
|---|---|---|
| India | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 10 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 10 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 3 | 30% |
| Other | 2 | 20% |
| Professor | 2 | 20% |
| Librarian | 1 | 10% |
| Student > Ph. D. Student | 1 | 10% |
| Other | 1 | 10% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 6 | 60% |
| Mathematics | 2 | 20% |
| Physics and Astronomy | 1 | 10% |
| Biochemistry, Genetics and Molecular Biology | 1 | 10% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 16 July 2015.
All research outputs
#15,340,005
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Outputs from SpringerPlus
#932
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Outputs of similar age
#137,579
of 234,778 outputs
Outputs of similar age from SpringerPlus
#52
of 112 outputs
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