Subject description - XP37SZS

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XP37SZS Statistical Signal Processing Extent of teaching:4P+0S
Guarantors:Sýkora J. Roles:S Language of
teaching:
CS
Teachers:Sýkora J. Completion:Z,ZK
Responsible Department:13137 Credits:4 Semester:L

Anotation:

Parameter estimation and detection theory. General properties and fundamental limits. ML, LS, Bayes (MAP,MSE), NP, MM estimators and detectors. Adaptive filter theory (Kalman, RLS). Iterative detection and parameter estimation.

Course outlines:

Exercises outline:

Literature:

[1] S. M. Kay: Fundamentals of statistical signal processing, vol I+II, 1993, 1998, Prentice-Hall
[2] A. H. Sayed: Fundamentals of Adaptive filtering, Wiley-interscience, 2003

Requirements:

Subject is included into these academic programs:

Program Branch Role Recommended semester
DOKP Common courses S
DOKK Common courses S


Page updated 24.2.2020 05:51:51, semester: Z,L/2020-1, Z,L/2019-20, Send comments about the content to the Administrators of the Academic Programs Proposal and Realization: I. Halaška (K336), J. Novák (K336)