A new fast algorithm is proposed to compute pseudodiscrete Wignér-Ville distribution (PDWVD) in real-time applications. The proposed algorithm uses the moving discrete Hartley transform to compute the Hubert transform and thereby implements the PDWVD in real domain. The computational complexity of the proposed algorithm is derived and compared with the existing algorithm to compute the PDWVD. © lEE, 1996.

K. M.Muraleedhara Prabhu

Calculations

Computational complexity

Mathematical models

Mathematical transformations

Real time systems

Discrete Hartley Transforms

Fast algorithms

Hilbert transform

PSEUDODISCRETE WIGNER-VILLE DISTRIBUTION

TIME VARYING SIGNALS

Algorithms

IIT Madras is a public technical and research university located in Chennai, Tamil Nadu. Founded in 1959, it is recognised as an Institute of National Importance.

IIT Madras has been ranked as the top engineering institute in India for four years in a row by the National Institutional Ranking Framework of the MHRD

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IIT Madras

IEE Proceedings: Vision, Image and Signal Processing

The Wigner-Ville distribution (WVD) is of great significance in time-frequency signal analysis. In the letter we present a new method to evaluate the WVD of a real signal using the fast Hartley transform (FHT). This is compared with the existing fast Fourier transform (FFT) method in terms of computation time. The FHT method presented turns out to be much faster than the FFT method. © 1989, The Institution of Electrical Engineers. All rights reserved.

Electronics Letters

New Method of Computing Wigner-Ville Distribution

Advanced Signal Processing Algorithms, Architectures, and Implementations IV

<title>Recent advances in nonstationary signal analysis: time-varying higher-order spectra and multilinear time-frequency signal analysis</title>

IEEE Transactions on Signal Processing

Computing pseudo-Wigner distribution by the fast Hartley transform

IEEE Transactions on Circuits and Systems

Computation of discrete Hilbert transform through fast Hartley transform

IEEE Transactions on Acoustics, Speech, and Signal Processing

Efficient computation of the discrete pseudo-Wigner distribution

Fast algorithm for pseudodiscrete Wigner-Ville distribution using moving discrete Hartley transform

Journal	IEE Proceedings: Vision, Image and Signal Processing
Publisher	Institution of Engineering and Technology
ISSN	1350245X
Open Access	No