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The Gaussian Data Assumption Does Not Always Lead to the Largest Cramér–Rao Bound [Lecture Notes]

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Τίτλος: The Gaussian Data Assumption Does Not Always Lead to the Largest Cramér–Rao Bound [Lecture Notes]
Συγγραφείς: Delmas, J., Abeida, H., Guido, R.C.
Πηγή: IEEE Signal Processing Magazine IEEE Signal Process. Mag. Signal Processing Magazine, IEEE. 43(5):42-46 Sep, 2026
Βάση Δεδομένων: IEEE Xplore Digital Library
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