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In den WarenkorbPaperback. Zustand: new. Paperback. 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. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
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In den WarenkorbTaschenbuch. Zustand: Neu. Neuware -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.tredition, Heinz-Beusen-Stieg 5, 22926 Ahrensburg 108 pp. Englisch.
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In den WarenkorbTaschenbuch. Zustand: Neu. Challenges and Techniques in Signal Detection with Unknown Covariance Matrix | Sana | Taschenbuch | Englisch | 2024 | tredition | EAN 9783384283214 | Verantwortliche Person für die EU: tredition GmbH, Heinz-Beusen-Stieg 5, 22926 Ahrensburg, support[at]tredition[dot]com | Anbieter: preigu.
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In den WarenkorbTaschenbuch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 108 pp. Englisch.
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In den WarenkorbTaschenbuch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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.