In this paper, we derive a modified InfoMax algorithm for the solution of Blind Signal Separation (BSS) problems by using advanced stochastic methods. The proposed approach is based on a novel stochastic optimization approach known as the Adaptive Moment Estimation (Adam) algorithm. The proposed BSS solution can benefit from the excellent properties of the Adam approach. In order to derive the new learning rule, the Adam algorithm is introduced in the derivation of the cost function maximization in the standard InfoMax algorithm. The natural gradient adaptation is also considered. Finally, some experimental results show the effectiveness of the proposed approach.
Effective blind source separation based on the adam algorithm / Scarpiniti, Michele; Scardapane, Simone; Comminiello, Danilo; Parisi, Raffaele; Uncini, Aurelio. - 69(2017), pp. 57-66. [10.1007/978-3-319-56904-8_6].
Effective blind source separation based on the adam algorithm
SCARPINITI, MICHELE;SCARDAPANE, SIMONE;COMMINIELLO, DANILO;PARISI, Raffaele;UNCINI, Aurelio
2017
Abstract
In this paper, we derive a modified InfoMax algorithm for the solution of Blind Signal Separation (BSS) problems by using advanced stochastic methods. The proposed approach is based on a novel stochastic optimization approach known as the Adaptive Moment Estimation (Adam) algorithm. The proposed BSS solution can benefit from the excellent properties of the Adam approach. In order to derive the new learning rule, the Adam algorithm is introduced in the derivation of the cost function maximization in the standard InfoMax algorithm. The natural gradient adaptation is also considered. Finally, some experimental results show the effectiveness of the proposed approach.File | Dimensione | Formato | |
---|---|---|---|
Scarpiniti_Pre-print_Effective_2017.pdf
solo gestori archivio
Tipologia:
Documento in Pre-print (manoscritto inviato all'editore, precedente alla peer review)
Licenza:
Tutti i diritti riservati (All rights reserved)
Dimensione
1.02 MB
Formato
Adobe PDF
|
1.02 MB | Adobe PDF | Contatta l'autore |
Scarpiniti_Effective_2017.pdf
solo gestori archivio
Tipologia:
Versione editoriale (versione pubblicata con il layout dell'editore)
Licenza:
Tutti i diritti riservati (All rights reserved)
Dimensione
880.47 kB
Formato
Adobe PDF
|
880.47 kB | Adobe PDF | Contatta l'autore |
I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.