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Two Cross-Coupled H∞ Filters for Fading Channel Estimation in OFDM Systems.

, , , and . TeNe, page 349-353. Springer, (2008)

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Two Cross-Coupled H∞ Filters for Fading Channel Estimation in OFDM Systems., , , and . TeNe, page 349-353. Springer, (2008)Kalman Vs H∞ Algorithms for MC-DS-CDMA Channel Estimation with or without a Priori ar Modeling., , , and . MCSS, volume 1 of Lecture Notes in Electrical Engineering, page 427-436. (2007)Dual H∞ vs dual Kalman filters for M-AR parameter estimation from noisy observations., , , and . EUSIPCO, page 1700-1704. IEEE, (2009)Fusion of likelihood ratio test based decisions in wireless sensor networks., and . ICCSPA, page 1-5. IEEE, (2015)Blind adaptive multi-user detection for multi-carrier DS-CDMA systems in frequency selective fading channels., , and . ICASSP (3), page 925-928. IEEE, (2005)Interference Cancellation in Overlay Cognitive Radio Based on OFDM Using Nonlinear Kalman-Filter for Channel Estimation., , and . PIMRC, page 1-6. IEEE, (2019)Performance Analysis of Energy Detector Over α-μ Fading Channels with Selection Combining., and . Wirel. Pers. Commun., 77 (2): 1507-1517 (2014)Performance analysis of orthogonal space-time block codes over Nakagami- q MIMO RFID backscattering channels., and . IET Commun., 12 (9): 1086-1093 (2018)Distributed M-ary hypothesis testing for decision fusion in multiple-input multiple-output wireless sensor networks., and . IET Commun., 14 (18): 3256-3260 (2020)Designing adaptive filters-based MMSE receivers for asynchronous multicarrier DS-CDMA systems., , and . PIMRC, page 2930-2934. IEEE, (2004)