Title :
Sidelobe levels of weighting functions with a platform when the number of samples (N) is small
Author_Institution :
Raytheon Company, Bedford, MA, USA
Abstract :
The highest sidelobe level is a figure of merit of weighting functions. It has been found that published figures [1] for weighting functions that rest on a platform, e.g., Hamming, Blackman-- Harris, apply only when N is large. The sidelobe levels are significantly higher than the published figures when N is small.
Keywords :
Adaptive filters; Digital filters; Discrete Fourier transforms; Finite impulse response filter; Frequency domain analysis; Least squares approximation; Performance analysis; Signal processing; Speech processing; Steady-state;
Journal_Title :
Proceedings of the IEEE
DOI :
10.1109/PROC.1984.13093
