DocumentCode
3398878
Title
Signal detection algorithm based on the atomic function transform
Author
Kolchenko, Liliia V. ; Sinitsyn, Rustem B.
Author_Institution
Hamburg Univ. of Appl. Sci., Hamburg, Germany
fYear
2013
fDate
5-7 June 2013
Firstpage
1
Lastpage
4
Abstract
The signal detection nonparametric algorithm is suggested. It based on the use of the nonlinear transform based on the kernel estimate of the cumulative distribution function. Atomic functions are used as an estimate and transform kernels.
Keywords
functional analysis; nonlinear equations; signal detection; transforms; atomic function transform; cumulative distribution function; functional transform; kernel estimate; kernel transform; nonlinear transform; signal detection nonparametric algorithm; Density functional theory; Distribution functions; Fourier transforms; Kernel; Noise; Signal detection; atomic functions; functional transform; kernel estimate; nonparametric; signal detection;
fLanguage
English
Publisher
ieee
Conference_Titel
Signal Processing Symposium (SPS), 2013
Conference_Location
Serock
Type
conf
DOI
10.1109/SPS.2013.6623575
Filename
6623575
Link To Document