Alias-free generalized discrete-time time-frequency distributions

A definition of generalized discrete-time time-frequency distribution that utilizes all of the outer product terms from a data sequence, so that one can avoid aliasing, is introduced. The new approach provides (1) proper implementation of the discrete-time spectrogram, (2) correct evaluation of the instantaneous frequency of the underlying continuous-time signal, and (3) correct frequency marginal. The formulation provides a unified framework for implementing members of Cohen's class, which was formulated in the continuous-time domain. Some requirements for the discrete-time kernel in the new approach are discussed in association with desirable distribution properties. Some experimental results are provided to illustrate the features of the proposed method. >

[1]  Mark A. Poletti,et al.  The development of a discrete transform for the Wigner distribution and ambiguity function , 1988 .

[2]  L. Cohen Generalized Phase-Space Distribution Functions , 1966 .

[3]  Boualem Boashash,et al.  Note on the use of the Wigner distribution for time-frequency signal analysis , 1988, IEEE Trans. Acoust. Speech Signal Process..

[4]  Jechang Jeong,et al.  Kernel design for reduced interference distributions , 1992, IEEE Trans. Signal Process..

[5]  Moeness G. Amin Time and lag window selection in Wigner-Ville distribution , 1987, ICASSP '87. IEEE International Conference on Acoustics, Speech, and Signal Processing.

[6]  L. Cohen,et al.  Time-frequency distributions-a review , 1989, Proc. IEEE.

[7]  David S. K. Chan,et al.  A non-aliased discrete-time Wigner distribution for time-frequency signal analysis , 1982, ICASSP.

[8]  Robert J. Marks,et al.  The use of cone-shaped kernels for generalized time-frequency representations of nonstationary signals , 1990, IEEE Trans. Acoust. Speech Signal Process..

[9]  Jechang Jeong,et al.  Instantaneous frequency and kernel requirements for discrete time-frequency distributions , 1990 .

[10]  T. Claasen,et al.  The aliasing problem in discrete-time Wigner distributions , 1983 .

[11]  William J. Williams,et al.  Reduced Interference Time-Frequency Distributions , 1992 .

[12]  E. Wigner On the quantum correction for thermodynamic equilibrium , 1932 .

[13]  Patrick Flandrin,et al.  Wigner-Ville spectral analysis of nonstationary processes , 1985, IEEE Trans. Acoust. Speech Signal Process..

[14]  Françoise Peyrin,et al.  A unified definition for the discrete-time, discrete-frequency, and discrete-time/Frequency Wigner distributions , 1986, IEEE Trans. Acoust. Speech Signal Process..

[15]  William J. Williams,et al.  Improved time-frequency representation of multicomponent signals using exponential kernels , 1989, IEEE Trans. Acoust. Speech Signal Process..

[16]  Patrick Flandrin,et al.  Some features of time-frequency representations of multicomponent signals , 1984, ICASSP.

[17]  Thomas W. Parks,et al.  Reducing aliasing in the Wigner distribution using implicit spline interpolation , 1983, ICASSP.

[18]  M. Berry Semi-classical mechanics in phase space: A study of Wigner’s function , 1977, Philosophical Transactions of the Royal Society of London. Series A, Mathematical and Physical Sciences.