CZECH TECHNICAL UNIVERSITY IN PRAGUE
STUDY PLANS
2018/2019

# Statistical Signal Processing

Code Completion Credits Range Language
B2M37SSP ZK 5 4p+0 Czech
Lecturer:
Jan Sýkora (guarantor), Pavel Sovka
Tutor:
Jan Sýkora (guarantor)
Supervisor:
Synopsis:

The course provides fundamentals in three main domains of the statistical signal processing: 1) estimation theory, 2) detection theory, 3) optimal and adaptive filtering. The statistical signal processing is a core theory with many applications ranging from digital communications, audio and video processing, radar and radio navigation, measurement and experiment evaluation, etc.

Requirements:
Syllabus of lectures:

1. Estimation

1a. MVU estimator, Cramer-Rao lower bound, composite hypothesis, performance criteria

1b. Sufficient statistics

1c. Maximum Likelihood estimator, EM algorithm

1d. Bayesian estimators (MMSE, MAP)

2. Detection

2a. Hypothesis testing (binary, multiple, composite)

2b. Deterministic signals

2c. Random signals

3a. Signal modeling (ARMA, Padé approximation, ...)

3b. Toeplitz equation, Levinson-Durbin recursion

3c. MMSE filters, Wiener filter.

3d. Kalman filter.

3e. Least Squares, RLS

3f. Steepest descent and stochastic gradient algorithms.

3g. Spectrum estimation

Syllabus of tutorials:
Study Objective:
Study materials:

1. Steven Kay: Fundamentals of Statistical Signal Processing - Estimation theory

2. Steven Kay: Fundamentals of Statistical Signal Processing - Detection theory

3. Monson Hayes: Statistical digital signal processing and modeling

4. Ali Sayed: Fundamentals of Adaptive Filtering

5. S. M. Kay: Fundamentals of statistical signal processing-detection theory, Prentice-Hall 1998

Note:
Time-table for winter semester 2018/2019:
Time-table is not available yet
Time-table for summer semester 2018/2019:
 06:00–08:0008:00–10:0010:00–12:0012:00–14:0014:00–16:0016:00–18:0018:00–20:0020:00–22:0022:00–24:00 roomT2:C3-434Sýkora J.Sovka P.13:30–17:00(lecture parallel1)DejviceLaboratoř
The course is a part of the following study plans:
Data valid to 2019-05-20
For updated information see http://bilakniha.cvut.cz/en/predmet4637406.html