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Application of multi-level signals to the identification of direction-dependent processes.

, , and . Autom., 40 (5): 831-837 (2004)

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Application of multi-level signals to the identification of direction-dependent processes., , and . Autom., 40 (5): 831-837 (2004)Direct synthesis signal sets for multi-input system identification., and . Syst. Control. Lett., (2019)Identification of Wiener-Hammerstein models using linear interpolation in the frequency domain (LIFRED)., and . IEEE Trans. Instrumentation and Measurement, 51 (3): 509-521 (2002)Channel Identification of Concatenated Fiber-Wireless Uplink Using Ternary Signals., , and . IEEE Trans. Vehicular Technology, 60 (7): 3207-3217 (2011)Design of Ternary Signals for MIMO Identification in the Presence of Noise and Nonlinear Distortion., , and . IEEE Trans. Contr. Sys. Techn., 17 (4): 926-933 (2009)Linear approximation of bilinear Processes.. IEEE Trans. Contr. Sys. Techn., 13 (2): 224-232 (2005)Direction-dependent system modeling approaches exemplified through an electronic nose system., , , and . IEEE Trans. Contr. Sys. Techn., 14 (3): 526-531 (2006)Identification of an Electric Resistance Furnace., and . IEEE Trans. Instrumentation and Measurement, 56 (6): 2262-2270 (2007)Design of computer-optimized pseudorandom maximum length signals for linear identification in the presence of nonlinear distortions., , and . IEEE Trans. Instrumentation and Measurement, 54 (6): 2513-2519 (2005)Kernel-Based Impulse Response Estimation Using Perturbation Signals With Harmonic Suppression.. IEEE Control. Syst. Lett., (2023)