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| A Non Parametric Estimation Based Underwater Target Classifier
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Full
text: |
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Source |
Signal Processing: An International Journal (SPIJ) |
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Table of Contents |
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Complete Issue PDF(1.28MB) |
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Volume: 5 Issue: 4 |
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Pages: NULL |
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Publication
Date: September / October 2011 |
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ISSN
(Online): 1985-2339 |
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Pages |
156 - 164 |
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Author(s) |
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Published
Date |
05-10-2011 |
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Publisher |
CSC
Journals, Kuala Lumpur,
Malaysia |
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ADDITIONAL
INFORMATION |
| Keywords Abstract References Cited by Related Articles Collaborative
Colleague |
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KEYWORDS: Cepstral Coefficients, Linear Prediction Coefficients, H Statistic, F Statistic |
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| This Manuscript is indexed in the following databases/websites:- |
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| 1. Directory of Open Access Journals (DOAJ) |
| 2. Scribd |
| 3. Google Scholar |
| 4. Docstoc |
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| Underwater noise sources constitute a prominent class of input signal in most underwater signal processing systems. The problem of identification of noise sources in the ocean is of great importance because of its numerous practical applications. In this paper, a methodology is presented for the detection and identification of underwater targets and noise sources based on non parametric indicators. The proposed system utilizes Cepstral coefficient analysis and the Kruskal-Wallis H statistic along with other statistical indicators like F-test statistic for the effective detection and classification of noise sources in the ocean. Simulation results for typical underwater noise data and the set of identified underwater targets are also presented in this paper. |
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| Binesh T : Colleagues
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| Supriya M H : Colleagues
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| P R Saseendran Pillai : Colleagues
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