Title :
Direct frequency-domain deconvolution when the signals have no spectral inverse
Author :
Zazula, Damjan ; Gyergyek, Ludvik
Author_Institution :
Dept. of Comput. Sci., Maribor Univ., Slovenia
fDate :
2/1/1993 12:00:00 AM
Abstract :
A method for frequency-domain deconvolution when the kernel has no spectral inverse is presented. Discrete frequency interpolation is used to avoid zero-valued frequency samples. The algorithm does not suffer from the spectral singularities of the original kernal, and its complexity is proportional to that of the fast Fourier transform. A comparative noise study showed improved performance relative to the direct frequency-domain method
Keywords :
fast Fourier transforms; frequency-domain analysis; interpolation; signal processing; algorithm; direct frequency-domain method; discrete frequency interpolation; fast Fourier transform; frequency-domain deconvolution; signal processing; Biomedical signal processing; Computer science; Deconvolution; Discrete Fourier transforms; Fast Fourier transforms; Frequency; Interpolation; Kernel; Polynomials; Signal processing algorithms;
Journal_Title :
Signal Processing, IEEE Transactions on
