EUR 9,90 per la spedizione da Germania a Italia
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Destinazione, tempi e costiDa: Buchpark, Trebbin, Germania
Condizione: Hervorragend. Zustand: Hervorragend | Seiten: 108 | Sprache: Englisch | Produktart: Bücher. Codice articolo 42857125/1
Quantità: 1 disponibili
Da: BargainBookStores, Grand Rapids, MI, U.S.A.
Paperback or Softback. Condizione: New. Challenges and Techniques in Signal Detection with Unknown Covariance Matrix 0.37. Book. Codice articolo BBS-9783384283214
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Da: GreatBookPrices, Columbia, MD, U.S.A.
Condizione: New. Codice articolo 47990745-n
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Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
Taschenbuch. Condizione: 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. Codice articolo 9783384283214
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Da: GreatBookPrices, Columbia, MD, U.S.A.
Condizione: As New. Unread book in perfect condition. Codice articolo 47990745
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Da: AHA-BUCH GmbH, Einbeck, Germania
Taschenbuch. Condizione: 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. Codice articolo 9783384283214
Quantità: 1 disponibili
Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
Taschenbuch. Condizione: 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. Codice articolo 9783384283214
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Da: GreatBookPricesUK, Woodford Green, Regno Unito
Condizione: New. Codice articolo 47990745-n
Quantità: Più di 20 disponibili
Da: GreatBookPricesUK, Woodford Green, Regno Unito
Condizione: As New. Unread book in perfect condition. Codice articolo 47990745
Quantità: Più di 20 disponibili
Da: CitiRetail, Stevenage, Regno Unito
Paperback. Condizione: 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. Codice articolo 9783384283214
Quantità: 1 disponibili