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Exploiting Covariance Structure for Signal Detection in Array Processing

40,44 
40,44 
2025-07-31 40.4400 InStock
Nemokamas pristatymas į paštomatus per 13-17 darbo dienų užsakymams nuo 19,00 

Knygos aprašymas

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.

Informacija

Autorius: Perry
Leidėjas: tredition
Išleidimo metai: 2024
Knygos puslapių skaičius: 108
ISBN-10: 3384276647
ISBN-13: 9783384276643
Formatas: Knyga minkštu viršeliu
Kalba: Anglų
Žanras: Cultural and media studies

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