Title :
An optimal sidelobeless window
Author :
Kay, Steven ; Smith, Dean
Author_Institution :
Dept. of Electr. & Comput. Eng., Rhode Island Univ., Kingston, RI, USA
fDate :
9/1/1999 12:00:00 AM
Abstract :
A window is derived whose Fourier transform magnitude is unimodal and whose processing gain against white noise is maximized. As such, the spectral window does not exhibit sidelobes and is as narrow in frequency as possible. If should be useful for a variety of signal processing applications
Keywords :
Fourier transforms; jamming; optimisation; signal processing; spectral analysis; white noise; frequency; jammer problem; maximized processing gain; optimal sidelobeless window; signal processing applications; spectral window; unimodal Fourier transform magnitude; white noise; Digital filters; Finite impulse response filter; Fourier transforms; Frequency; Jamming; Matched filters; Signal detection; Signal processing; Spectral analysis; White noise;
Journal_Title :
Signal Processing, IEEE Transactions on
