Consider a signal s(t) in presence of an additive noise n(t) and suppose that another noise v(t), statistically dependent on n(t), is available. This paper discusses the problem of the above mentioned statistical dependence in order to reduce the power of the noise n(t). No hypotheses on the signal nature are being made. The use of linear networks is examined in detail and we show how the noise power can be reduced to a lower limit which depends on the cross-correlation function of n(t) and v(t).

Noise power reduction through comparison with another statistically dependent noise / L., Calandrino; Immovilli, Gianni. - In: ALTA FREQUENZA. - ISSN 0002-6557. - STAMPA. - XXXV:(1966), pp. 166E - 872-169E - 875.

Noise power reduction through comparison with another statistically dependent noise

IMMOVILLI, Gianni
1966

Abstract

Consider a signal s(t) in presence of an additive noise n(t) and suppose that another noise v(t), statistically dependent on n(t), is available. This paper discusses the problem of the above mentioned statistical dependence in order to reduce the power of the noise n(t). No hypotheses on the signal nature are being made. The use of linear networks is examined in detail and we show how the noise power can be reduced to a lower limit which depends on the cross-correlation function of n(t) and v(t).
1966
XXXV
166E - 872
169E - 875
Noise power reduction through comparison with another statistically dependent noise / L., Calandrino; Immovilli, Gianni. - In: ALTA FREQUENZA. - ISSN 0002-6557. - STAMPA. - XXXV:(1966), pp. 166E - 872-169E - 875.
L., Calandrino; Immovilli, Gianni
File in questo prodotto:
Non ci sono file associati a questo prodotto.
Pubblicazioni consigliate

Licenza Creative Commons
I metadati presenti in IRIS UNIMORE sono rilasciati con licenza Creative Commons CC0 1.0 Universal, mentre i file delle pubblicazioni sono rilasciati con licenza Attribuzione 4.0 Internazionale (CC BY 4.0), salvo diversa indicazione.
In caso di violazione di copyright, contattare Supporto Iris

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11380/649635
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus ND
  • ???jsp.display-item.citation.isi??? ND
social impact