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Coherence : In Signal Processing and Machine Learning / David Ramírez, Ignacio Santamaría, Louis Scharf
Coherence : In Signal Processing and Machine Learning / David Ramírez, Ignacio Santamaría, Louis Scharf
Autore Ramírez, David
Pubbl/distr/stampa Cham, : Springer, 2022
Descrizione fisica xxi, 487 p. : ill. ; 24 cm
Altri autori (Persone) Santamaría, Ignacio
Scharf, Louis
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
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNICAMPANIA-VAN0276976
Ramírez, David  
Cham, : Springer, 2022
Materiale a stampa
Lo trovi qui: Univ. Vanvitelli
Opac: Controlla la disponibilità qui
Coherence : In Signal Processing and Machine Learning / David Ramírez, Ignacio Santamaría, Louis Scharf
Coherence : In Signal Processing and Machine Learning / David Ramírez, Ignacio Santamaría, Louis Scharf
Autore Ramírez, David
Pubbl/distr/stampa Cham, : Springer, 2022
Descrizione fisica xxi, 487 p. : ill. ; 24 cm
Altri autori (Persone) Santamaría, Ignacio
Scharf, Louis
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
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNICAMPANIA-VAN00276976
Ramírez, David  
Cham, : Springer, 2022
Materiale a stampa
Lo trovi qui: Univ. Vanvitelli
Opac: Controlla la disponibilità qui