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Adaptive detection of known signals in additive noise by means of kernel density estimators
Uppsala University, Teknisk-naturvetenskapliga vetenskapsområdet, Technology, Department of Materials Science. SIGNALS AND SYSTEMS.
1997 (English)In: IEEE TRANSACTIONS ON INFORMATION THEORY, ISSN 0018-9448, Vol. 43, no 4, 1192-1204 p.Article in journal (Refereed) Published
Abstract [en]

We consider the problem of detecting known signals contaminated by additive noise with a completely unknown probability density function f. To this end, we propose a new adaptive detection rule, It is defined by plugging a kernel density estimator (f) ove

Place, publisher, year, edition, pages
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC , 1997. Vol. 43, no 4, 1192-1204 p.
Keyword [en]
adaptive; additive noise; detection; kernel estimate; nonparametric; training sequence; CLASS-A INTERFERENCE; LOCATION PARAMETER; MODELS; EFFICIENT
National Category
Signal Processing
Identifiers
URN: urn:nbn:se:uu:diva-27188OAI: oai:DiVA.org:uu-27188DiVA: diva2:55082
Note
Addresses: Gustafsson RT, RESPONSOR AB, ODDEGATAN 5, S-16492 KISTA, SWEDEN. LUND UNIV, DEPT MATH STAT, S-22100 LUND, SWEDEN. UNIV UPPSALA, SIGNALS & SYST DEPT, S-75120 UPPSALA, SWEDEN.Available from: 2008-10-17 Created: 2008-10-17 Last updated: 2011-01-15

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