Product high-order ambiguity function for multicomponent polynomial-phase signal modeling
IEEE Transactions on Signal Processing, 1998 - ieeexplore.ieee.org
Parameter estimation and performance analysis issues are studied for multicomponent
polynomial-phase signals (PPSs) embedded in white Gaussian noise. Identifiability issues …
polynomial-phase signals (PPSs) embedded in white Gaussian noise. Identifiability issues …
[引用][C] Product high-order ambiguity function for multicomponent polynomial-phase signal modeling
S Barbarossa, A Scaglione… - IEEE Transactions on …, 1998 - ui.adsabs.harvard.edu
Product high-order ambiguity function for multicomponent polynomial-phase signal
modeling - NASA/ADS Now on home page ads icon ads Enable full ADS view NASA/ADS …
modeling - NASA/ADS Now on home page ads icon ads Enable full ADS view NASA/ADS …
[引用][C] Product high-order ambiguity function for multicomponent polynomial phase signal modelling
S BARBAROSSA - IEEE Trans. Signal Process., 1998 - cir.nii.ac.jp
Product High-Order Ambiguity Function for Multicomponent Polynomial-Phase Signal Modeling
S Barbarossa, A Scaglione… - IEEE TRANSACTIONS …, 1998 - iris.uniroma1.it
Parameter estimation and performance analysis issues are studied for multicomponent
polynomial-phase signals (PPSs) embedded in white Gaussian noise. Identifiability issues …
polynomial-phase signals (PPSs) embedded in white Gaussian noise. Identifiability issues …
[PDF][PDF] Product High-Order Ambiguity Function for Multicomponent Polynomial-Phase Signal Modeling
S Barbarossa, A Scaglione… - IEEE TRANSACTIONS …, 1998 - scholar.archive.org
Parameter estimation and performance analysis is-sues are studied for multicomponent
polynomial-phase signals (PPS's) embedded in white Gaussian noise. Identifiability issues …
polynomial-phase signals (PPS's) embedded in white Gaussian noise. Identifiability issues …
[PDF][PDF] Product High-Order Ambiguity Function for Multicomponent Polynomial-Phase Signal Modeling
S Barbarossa, A Scaglione… - IEEE TRANSACTIONS …, 1998 - researchgate.net
Parameter estimation and performance analysis is-sues are studied for multicomponent
polynomial-phase signals (PPS's) embedded in white Gaussian noise. Identifiability issues …
polynomial-phase signals (PPS's) embedded in white Gaussian noise. Identifiability issues …
[引用][C] Product high-order ambiguity function for multicomponent polynomial-phase signal modeling
S BARBAROSSA, A SCAGLIONE… - IEEE transactions on …, 1998 - pascal-francis.inist.fr
Product high-order ambiguity function for multicomponent polynomial-phase signal modeling
CNRS Inist Pascal-Francis CNRS Pascal and Francis Bibliographic Databases Simple …
CNRS Inist Pascal-Francis CNRS Pascal and Francis Bibliographic Databases Simple …
[PDF][PDF] Product High-Order Ambiguity Function for Multicomponent Polynomial-Phase Signal Modeling
S Barbarossa, A Scaglione… - IEEE TRANSACTIONS ON …, 1998 - academia.edu
Parameter estimation and performance analysis is-sues are studied for multicomponent
polynomial-phase signals (PPS's) embedded in white Gaussian noise. Identifiability issues …
polynomial-phase signals (PPS's) embedded in white Gaussian noise. Identifiability issues …
Product high-order ambiguity function for multicomponent polynomial-phase signal modeling
S Barbarossa, A Scaglione… - IEEE Transactions on …, 1998 - asu.elsevierpure.com
Parameter estimation and performance analysis issues are studied for multicomponent
polynomial-phase signals (PPS's) embedded in white Gaussian noise. Identiflability issues …
polynomial-phase signals (PPS's) embedded in white Gaussian noise. Identiflability issues …
Product high-order ambiguity function for multicomponent polynomial-phase signal modeling
S Barbarossa, A Scaglione… - IEEE Transactions on …, 1998 - experts.umn.edu
Parameter estimation and performance analysis issues are studied for multicomponent
polynomial-phase signals (PPS's) embedded in white Gaussian noise. Identiflability issues …
polynomial-phase signals (PPS's) embedded in white Gaussian noise. Identiflability issues …