Title :
Directionally sensitive weight functions
Author :
Aceska, Roza ; Giv, Hossein Hosseini
Author_Institution :
Dept. of Math. Sci., Ball State Univ., Muncie, India
Abstract :
We study new properties of a recently introduced, directionally sensitive short-time Fourier transform. Its specific relationship to the classical short-time Fourier transform and its quasi shift-invariance property motivate us to introduce customized weight functions with directional sensitivity.
Keywords :
Fourier transforms; time-frequency analysis; customized weight functions; directionally sensitive short-time Fourier transform; directionally sensitive weight functions; quasi shift-invariance property; time-frequency analysis; Bandwidth; Fourier transforms; Image edge detection; Modulation; Sensitivity; Time-frequency analysis;
Conference_Titel :
Sampling Theory and Applications (SampTA), 2015 International Conference on
Conference_Location :
Washington, DC
DOI :
10.1109/SAMPTA.2015.7148881
