Challenges and Techniques in Signal Detection with Unknown Covariance Matrix
DE
(Sprache: Englisch)
Signal detection is a fundamental task in various fields like radar, sonar, communication systems, and medical imaging. It involves deciding whether a desired signal is present in a noisy environment. The covariance matrix, which captures the statistical...
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Signal detection is a fundamental task in various fields like radar, sonar, communication systems, and medical imaging. It involves deciding whether a desired signal is present in a noisy environment. The covariance matrix, which captures the statistical properties of the noise, plays a crucial role in designing optimal detection algorithms. However, in many practical scenarios, the covariance matrix is unknown due to factors like limited data, non-stationary noise, or complex environments. This unknown covariance matrix presents significant challenges for signal detection.
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Bibliographische Angaben
- Autor: Sana
- 2024, 108 Seiten, Maße: 15,5 x 23,4 cm, Kartoniert (TB), Englisch
- Verlag: tredition
- ISBN-10: 338428321X
- ISBN-13: 9783384283214
Sprache:
Englisch
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