Challenges and Techniques in Signal Detection with Unknown Covariance Matrix
Seiten
2024
tredition (Verlag)
978-3-384-28321-4 (ISBN)
tredition (Verlag)
978-3-384-28321-4 (ISBN)
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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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| Erscheinungsdatum | 10.07.2024 |
|---|---|
| Verlagsort | sahah city |
| Sprache | englisch |
| Maße | 155 x 234 mm |
| Gewicht | 197 g |
| Themenwelt | Geschichte ► Teilgebiete der Geschichte ► Technikgeschichte |
| Technik | |
| Schlagworte | Adaptive • Applications • Bayesian • Covariance • detection techniques • Low SNR • machine learning • Practical • Robust • Signal Detection |
| ISBN-10 | 3-384-28321-X / 338428321X |
| ISBN-13 | 978-3-384-28321-4 / 9783384283214 |
| Zustand | Neuware |
| Informationen gemäß Produktsicherheitsverordnung (GPSR) | |
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