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Erschienen in:
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2024 | OriginalPaper | Buchkapitel

2. Detection of Jointly Sparse Signals via Locally Most Powerful Tests with Gaussian Noise

verfasst von : Xueqian Wang

Erschienen in: Study on Signal Detection and Recovery Methods with Joint Sparsity

Verlag: Springer Nature Singapore

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Abstract

In recent years, compressive sensing (CS) has emerged as a new paradigm for sparse signal processing, which aims at obtaining valuable information of sparse signals from a small number of measurements.

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Vorheriges Kapitel Introduction
Nächstes Kapitel Detection of Jointly Sparse Signals via Locally Most Powerful Tests with Generalized Gaussian Model
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Metadaten
Titel
Detection of Jointly Sparse Signals via Locally Most Powerful Tests with Gaussian Noise
verfasst von
Xueqian Wang
Copyright-Jahr
2024
Verlag
Springer Nature Singapore
Buch
Study on Signal Detection and Recovery Methods with Joint Sparsity

Print ISBN: 978-981-9941-16-2

Electronic ISBN: 978-981-9941-17-9

Copyright-Jahr: 2024

DOI
https://doi.org/10.1007/978-981-99-4117-9_2

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