Title :
Filtering in Rotated Time-Frequency Domains With Unknown Noise Statistics
Author :
Subramaniam, Suba R. ; Ling, Bingo Wing-Kuen ; Georgakis, Apostolos
Author_Institution :
Div. of Eng., King´´s Coll. London, London, UK
Abstract :
The concept of rotation in the joint time-frequency plane can be exploited in order to generalize classical Fourier-based operations. It is known that filtering in rotated time-frequency domains can lead to significant performance advantages for certain types of signals as compared to conventional linear time invariant systems. In this correspondence, we revisit the design problem of such a scheme and derive a formulation that does not require knowledge of the statistics of the corrupting noise. Simulations have been used to confirm the validity of the proposed solution.
Keywords :
Fourier transforms; filtering theory; statistical analysis; Fourier based operations; conventional linear time invariant systems; filtering; joint time frequency plane; noise statistics; rotated time frequency domains; Degradation; Filtering; Fourier transforms; Noise; Time frequency analysis; Fractional Fourier transform; rotated time-frequency domains; strip filters;
Journal_Title :
Signal Processing, IEEE Transactions on
DOI :
10.1109/TSP.2011.2171956