Title :
A flexible and approximate computing approach for time-frequency distributions
Author :
Le, Thuyen ; Glesner, Manfred
Author_Institution :
Inst. of Microelectron. Syst., Darmstadt Univ. of Technol., Germany
fDate :
4/1/2000 12:00:00 AM
Abstract :
Eigen-decomposition of the kernel allows fast computation of time-frequency distributions. This paper proposes a scheme which exploits further approximation by adapting dynamically the accuracy of spectrograms to the eigenvalue magnitudes. The approach employs the wavelet transform followed by block-recursive Fourier transform and a compensation network. It provides a set of parameters for the users to trade accuracy against computational complexity so that the implementation can be tailored to a specific application
Keywords :
approximation theory; computational complexity; discrete Fourier transforms; eigenvalues and eigenfunctions; filtering theory; spectral analysis; time-frequency analysis; wavelet transforms; approximation; block-recursive Fourier transform; compensation network; computational complexity; eigen-decomposition; eigenvalue magnitudes; fast computation; kernel; spectrograms; time-frequency distributions; wavelet transform; Computational complexity; Discrete Fourier transforms; Distributed computing; Eigenvalues and eigenfunctions; Fourier transforms; Kernel; Spectral analysis; Spectrogram; Time frequency analysis; Wavelet transforms;
Journal_Title :
Signal Processing, IEEE Transactions on
