Isbn: 9783384276643 - exploiting covariance structure for signal detection in array processing (3 risultati)

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    Lingua: Inglese

    Editore: tredition, 2024

    3384276647 / 9783384276643

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    Da: preigu, Osnabrück, Germaniapreigu

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    Taschenbuch. Condizione: Neu. Exploiting Covariance Structure for Signal Detection in Array Processing | Perry | Taschenbuch | Englisch | 2024 | tredition | EAN 9783384276643 | Verantwortliche Person für die EU: tredition, Heinz-Beusen-Stieg 5, 22926 Ahrensburg, support[at]tredition[dot]com | Anbieter: preigu.…

  • Lingua: Inglese

    Editore: Tredition Jul 2024, 2024

    3384276647 / 9783384276643

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    Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermaniaBuchWeltWeit Ludwig Meier e.K.

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    Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Array processing involves utilizing multiple sensors (e.g., antennas) to collect data from a spatial environment. The primary objective is to extract the desired signal from a mixture of noise and interference. Several techniques exist for signal detection, including beamforming, matched filtering, and likelihood ratio tests. These methods typically rely on assumptions about the signal and noise characteristics.However, real-world environments often violate these assumptions. Noise may not be purely white (uncorrelated) and can exhibit spatial coherence. Additionally, interference might be structured and non-stationary. Here's where exploiting the covariance structure of the received data becomes advantageous. 108 pp. Englisch.…

  • Lingua: Inglese

    Editore: Tredition, Tredition Jul 2024, 2024

    3384276647 / 9783384276643

    • Brossura
    • Print on Demand

    Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germaniabuchversandmimpf2000

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    Condizione: Nuovo

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    EUR 60,00 spedizione 
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    Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Array processing involves utilizing multiple sensors (e.g., antennas) to collect data from a spatial environment. The primary objective is to extract the desired signal from a mixture of noise and interference. Several techniques exist for signal detection, including beamforming, matched filtering, and likelihood ratio tests. These methods typically rely on assumptions about the signal and noise characteristics.However, real-world environments often violate these assumptions. Noise may not be purely white (uncorrelated) and can exhibit spatial coherence. Additionally, interference might be structured and non-stationary. Here's where exploiting the covariance structure of the received data becomes advantageous.tredition, Heinz-Beusen-Stieg 5, 22926 Ahrensburg 108 pp. Englisch.…