Coherence : In Signal Processing and Machine Learning / David Ramírez, Ignacio Santamaría, Louis Scharf

• Autore: Ramírez, David
• Pubblicazione: Cham, : Springer, 2022
• Descrizione fisica: xxi, 487 p. : ill. ; 24 cm
• Soggetto topico: 62-XX - Statistics [MSC 2020]; 68-XX - Computer science [MSC 2020]; 94-XX - Information and communication theory, circuits [MSC 2020]
• Soggetto non controllato: Beamforming and spectrum analysis; Canonical and multiset correlation analysis; Coherence in compressed sensing; Coherence in science and engineering; Coherence in signal processing; Correlation and partial correlation analysis; Hypothesis testing for covariance structure; Kernel methods; Least squares and its applications; Matched and adaptive subspace detectors; Matrix optimization; Multichannel coherence; Multichannel detection of spacetime signals; Multidimensional Scaling; Normal and matrix distribution theory; Passive and active detection; Performance bounds and uncertainty quantification; Principal component analysis; Subspace averaging and its applications
• Altri autori: Santamaría, Ignacio Scharf, Louis
• Titolo autorizzato: Coherence
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: VAN00276976
• Lo trovi qui: Univ. Vanvitelli
• Localizzazioni e accesso elettronico: https://doi.org/10.1007/978-3-031-13331-2