IF estimation using higher order TFRs

Authors:
G. Viswanath;T. V. Sreenivas
Affiliations:
Department of Electrical Communication Engineering, Indian Institute of Science, Bangalore 560 012, India;Department of Electrical Communication Engineering, Indian Institute of Science, Bangalore 560 012, India
Venue:
Signal Processing
Year:
2002

Citing 2
Cited 5

Instantaneous frequency estimation of quadratic and cubic FMsignals using the cross polynomial Wigner-Ville distribution

IEEE Transactions on Signal Processing
Instantaneous frequency estimation of polynomial FM signals usingthe peak of the PWVD: statistical performance in the presence ofadditive gaussian noise

IEEE Transactions on Signal Processing

Time--frequency feature representation using energy concentration: An overview of recent advances

Digital Signal Processing
A class of highly concentrated time-frequency distributions based on the ambiguity domain representation and complex-lag moment

EURASIP Journal on Advances in Signal Processing
Robust time-frequency distributions with complex-lag argument

EURASIP Journal on Advances in Signal Processing - Special issue on robust processing of nonstationary signals
Time-frequency analysis and its application in digital watermarking

EURASIP Journal on Advances in Signal Processing - Special issue on time-frequency analysis and its applications to multimedia signals
Validity-guided fuzzy clustering evaluation for neural network-based time-frequency reassignment

EURASIP Journal on Advances in Signal Processing - Special issue on time-frequency analysis and its applications to multimedia signals

Quantified Score

Hi-index	0.08

Visualization

Abstract

Instantaneous frequency estimation of arbitrary polynomial phase signals is shown to be feasible using higher order time-frequency representations such as L-Wigner distribution and complex time-frequency representation. These new extensions of the iterative cross-Wigner distribution based algorithm are shown to have certain computational advantage as well as noise robustness.