Subject description - XP37SZS
Summary of Study |
Summary of Branches |
All Subject Groups |
All Subjects |
List of Roles |
Explanatory Notes
Instructions
| XP37SZS | Statistical Signal Processing | ||
|---|---|---|---|
| Roles: | S | Extent of teaching: | 4P+0S |
| Department: | 13137 | Language of teaching: | CS |
| Guarantors: | Sýkora J. | Completion: | Z,ZK |
| Lecturers: | Sovka P., Sýkora J. | Credits: | 4 |
| Tutors: | Sýkora J. | 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 18.4.2024 07:51:06, semester: Z,L/2023-4, Z/2024-5, Send comments about the content to the Administrators of the Academic Programs | Proposal and Realization: I. Halaška (K336), J. Novák (K336) |