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
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;
Conference_Titel :
Signal Processing Symposium (SPS), 2013
Conference_Location :
Serock
DOI :
10.1109/SPS.2013.6623575
