ICASSP '99 Proceedings of the Acoustics, Speech, and Signal Processing, 1999. on 1999 IEEE International Conference - Volume 05
Interference mitigation in spread spectrum using discrete evolutionary and Hough transforms
ICASSP '00 Proceedings of the Acoustics, Speech, and Signal Processing, 2000. on IEEE International Conference - Volume 05
A novel approach to FM interference suppression in DS spread-spectrum communication systems
ICASSP '00 Proceedings of the Acoustics, Speech, and Signal Processing, 2000. on IEEE International Conference - Volume 05
IEEE Transactions on Signal Processing
Data-adaptive evolutionary spectral estimation
IEEE Transactions on Signal Processing
IEEE Transactions on Signal Processing
Estimating random amplitude polynomial phase signals: acyclostationary approach
IEEE Transactions on Signal Processing
Discrete chirp-Fourier transform and its application to chirp rateestimation
IEEE Transactions on Signal Processing
Improving the readability of time-frequency and time-scalerepresentations by the reassignment method
IEEE Transactions on Signal Processing
IEEE Transactions on Signal Processing
Interference mitigation in spread spectrum communication systemsusing time-frequency distributions
IEEE Transactions on Signal Processing
Product high-order ambiguity function for multicomponentpolynomial-phase signal modeling
IEEE Transactions on Signal Processing
Estimation of amplitude and phase parameters of multicomponentsignals
IEEE Transactions on Signal Processing
Efficient algorithms for adaptive capon and APES spectral estimation
IEEE Transactions on Signal Processing
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Incorporation of the linear time-varying filter and its Zadeh's generalized transfer function concepts to the derivation of the Capon's minimum-variance spectral estimator leads to a new, bilinear, cross-term suppressed and alias-free time-frequency representation (TFR) that has a higher resolution than the spectrogram with the same window width. Time-variant autocorrelation function of the nonstationary signal of interest is employed in this proposed TFR. By adopting an approximation for time-variant autocorrelation functions, we obtain another new, bilinear, parameterized TFR related to the spectrogram, the frequency resolution of which can be adjusted by varying its parameter for a fixed window width. We compare resolution and cross-term suppression properties of these proposed TFR's with other basic bilinear TFR's, via simulations on synthesized signals. Then, by incorporating polynomial-phase kernel functions to the Capon's estimator, we propose new bilinear signal representations for the analysis of constant-amplitude polynomial-phase signals and apply them to interference excision in direct-sequence spread-spectrum communications.