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CZECH TECHNICAL UNIVERSITY IN PRAGUE
STUDY PLANS
2019/2020

Statistical Signal Processing

The course is not on the list Without time-table
Code Completion Credits Range Language
XP37SZS Z,ZK 4 4P+0S Czech
Lecturer:
Tutor:
Supervisor:
Department of Radioelectronics
Synopsis:

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.

Requirements:
Syllabus of lectures:
Syllabus of tutorials:
Study Objective:
Study materials:

[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

Note:
Further information:
No time-table has been prepared for this course
The course is a part of the following study plans:
Data valid to 2019-10-18
For updated information see http://bilakniha.cvut.cz/en/predmet11757704.html