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Rilevamento compressivo per segnali musicali e immagini non stazionarie
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ISBN10: 6209124739
ISBN13: 9786209124730
Publisher: Edizioni Sapienza
Published: Oct 17 2025
Pages: 60
Weight: 0.21
Height: 0.14 Width: 6.00 Depth: 9.00
Language: Italian
ISBN13: 9786209124730
Publisher: Edizioni Sapienza
Published: Oct 17 2025
Pages: 60
Weight: 0.21
Height: 0.14 Width: 6.00 Depth: 9.00
Language: Italian
Il Compressive Sensing (CS) è la soluzione o il metodo chiave per ricostruire il segnale con un numero di misure molto ridotto rispetto ai metodi convenzionali. Secondo i metodi convenzionali o, per meglio dire, la teoria del campionamento di Shannon-Nyquist, per una corretta ricostruzione del segnale è necessario il doppio della larghezza di banda del segnale . Il problema fondamentale è quello di memorizzare una grande quantità di dati con il metodo convenzionale. A tal fine è necessaria la matrice di misura, che deve essere una matrice di misura stabile, e la matrice di base. La matrice di misura e la matrice base devono soddisfare due proprietà RIP e iid. La matrice di misura, che in genere è una matrice casuale, è ottimizzata per ottenere una minore coerenza reciproca. Esistono vari algoritmi di ricostruzione che vengono utilizzati per la corretta ricostruzione del segnale dopo le compressioni.
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