An architecture for the realization of a system for time-frequency signal analysis

An architecture of the system for time-frequency signal analysis is presented. This system is based on the S-method, whose special cases are two the most important distributions: the spectrogram and the Wigner distribution. Systems with constant and signal-dependent window widths are presented.

[1]  L. Stankovic,et al.  S-methods with variable convolution window , 1996, Proceedings of Third International Symposium on Time-Frequency and Time-Scale Analysis (TFTS-96).

[2]  Zoran Petrović,et al.  Unified approach to noise analysis in the Wigner distribution and spectrogram , 1996 .

[3]  B. Francis,et al.  Input-output gains of linear periodic discrete-time systems with application to multirate signal processing , 1996, 1996 IEEE International Symposium on Circuits and Systems. Circuits and Systems Connecting the World. ISCAS 96.

[4]  Srdjan Stankovic,et al.  On the Wigner distribution of discrete-time noisy signals with application to the study of quantization effects , 1994, IEEE Trans. Signal Process..

[5]  M.G. Amin.  A new approach to recursive Fourier transform , 1987, Proceedings of the IEEE.

[6]  Srdjan Stankovic,et al.  Wigner distribution of noisy signals , 1993, IEEE Trans. Signal Process..

[7]  R.N. Bracewell,et al.  Signal analysis , 1978, Proceedings of the IEEE.

[8]  Tongwen Chen,et al.  Design of multirate filter banks by 𝒽∞ optimization , 1995, IEEE Trans. Signal Process..

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

[10]  Srdjan Stankovic,et al.  An analysis of instantaneous frequency representation using time-frequency distributions-generalized Wigner distribution , 1995, IEEE Trans. Signal Process..

[11]  Michael Unser,et al.  RECURSION IN SHORT-TIME SIGNAL ANALYSIS , 1983 .

[12]  R.G. Shenoy.  Analysis of multirate components and application to multirate filter design , 1994, Proceedings of ICASSP '94. IEEE International Conference on Acoustics, Speech and Signal Processing.

[13]  Ljubisa Stankovic,et al.  A method for improved distribution concentration in the time-frequency analysis of multicomponent signals using the L-Wigner distribution , 1995, IEEE Trans. Signal Process..

[14]  Ljubisa Stankovic,et al.  A method for time-frequency analysis , 1994, IEEE Trans. Signal Process..

[15]  Srdjan Stankovic,et al.  Special purpose hardware for time frequency analysis , 1997 .

[16]  Thomas W. Parks,et al.  Linear periodic systems and multirate filter design , 1994, IEEE Trans. Signal Process..

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

[18]  Ljubisa Stankovic,et al.  Auto-term representation by the reduced interference distributions: a procedure for kernel design , 1996, IEEE Trans. Signal Process..

[19]  Srdjan Stankovic,et al.  On the local frequency, group shift, and cross-terms in some multidimensional time-frequency distributions: a method for multidimensional time-frequency analysis , 1995, IEEE Trans. Signal Process..

[20]  F. Hlawatsch,et al.  Linear and quadratic time-frequency signal representations , 1992, IEEE Signal Processing Magazine.

[21]  Ljubisa Stankovic,et al.  A multitime definition of the Wigner higher order distribution: L-Wigner distribution , 1994, IEEE Signal Processing Letters.

[22]  L. Stanković.  An analysis of some time-frequency and time-scale distributions , 1994 .