Instantaneous frequency estimation using stochastic calculus and bootstrapping
EURASIP Journal on Applied Signal Processing
Time-frequency signal synthesis and its application in multimedia watermark detection
EURASIP Journal on Applied Signal Processing
Long-range channel prediction based on nonstationary parametric modeling
IEEE Transactions on Signal Processing
Identifiability and aliasing in polynomial-phase signals
IEEE Transactions on Signal Processing
WiCOM'09 Proceedings of the 5th International Conference on Wireless communications, networking and mobile computing
Polynomial-phase estimation, phase unwrapping and the nearest lattice point problem
Asilomar'09 Proceedings of the 43rd Asilomar conference on Signals, systems and computers
Localization in underwater dispersive channels using the time-frequency-phase continuity of signals
IEEE Transactions on Signal Processing
STFT-based estimator of polynomial phase signals
Signal Processing
Are genetic algorithms useful for the parameter estimation of FM signals?
Digital Signal Processing
Fast communication: On the Cramér-Rao bound for polynomial phase signals
Signal Processing
| Hi-index | 35.69 |
The discrete polynomial-phase transform (DPT) is a new tool for analyzing constant-amplitude polynomial-phase signals. The main properties of the DPT are its ability to identify the degree of the phase polynomial and to estimate its coefficients. The transform is robust to deviations from the ideal signal model, such as slowly-varying amplitude, additive noise and nonpolynomial phase. The authors define the DPT, derive its basic properties, and use it to develop computationally efficient estimation and detection algorithms. A statistical accuracy analysis of the estimated parameters is also presented