PAÜ .:. Eğitim Öğretim Bilgi Sistemi

COURSE INFORMATION

Course Code	Course Title	L+P Hour	Semester	ECTS
ELK 542	ADAPTIVE SIGNAL PROCESSING - II	3 + 0	1st Semester	7,5

COURSE DESCRIPTION

Course Level	Master's Degree
Course Type	Elective
Course Objective	To introduce fast adaptive filter algorithms that are prone to real-time applications and to gain the graduate students the ability of implementing these algorithms via computer simulations.
Course Content	Kalman filters; Square-root adaptive filters; Order-recursive adaptive filters; Finite-precision effects of various adaptive filter algorithms; Tracking of time-varying systems; adaptive filters using infinite-duration impulse response (IIR) structures; Blind deconvolution problem.
Prerequisites	No the prerequisite of lesson.
Corequisite	No the corequisite of lesson.
Mode of Delivery	Face to Face

COURSE LEARNING OUTCOMES

1	One knows and applies Kalman filters.
2	One knows and applies square-root and order-recursive adaptive filters.
3	One knows Finite-precision effects of various adaptive filter algorithms.
4	One can analyze the performance of adaptive filters.
5	One knows and implements IIR adaptive filters
6	One knows and can solve Blind deconvolution problem.

COURSE'S CONTRIBUTION TO PROGRAM

	PO 01	PO 02	PO 03	PO 04	PO 05	PO 06	PO 07	PO 08	PO 09	PO 10	PO 11
LO 001	5	5	3	2	3	4		5
LO 002	5	5	4	2	5	5		3
LO 003	5	5	4	2	5	5		3
LO 004	5	5	4	2	5	5		3
LO 005	5	5	4	2	5	5		3
LO 006	5	5	3	2	4	5		5
Sub Total	30	30	22	12	27	29		22
Contribution	5	5	4	2	5	5	0	4	0	0	0

ECTS ALLOCATED BASED ON STUDENT WORKLOAD BY THE COURSE DESCRIPTION

Activities	Quantity	Duration (Hour)	Total Work Load (Hour)
Course Duration (14 weeks/theoric+practical)	14	3	42
Hours for off-the-classroom study (Pre-study, practice)	14	5	70
Assignments	1	15	15
Mid-terms	1	23	23
Final examination	1	30	30
Presentation / Seminar Preparation	1	15	15
Total Work Load ECTS Credit of the Course			195 7,5

COURSE DETAILS

Select Year

	Course Term	No	Instructors
Details	2009-2010 Spring	1	AYDIN KIZILKAYA

Course Details

Course Code	Course Title	L+P Hour	Course Code	Language Of Instruction	Course Semester
ELK 542	ADAPTIVE SIGNAL PROCESSING - II	3 + 0	1	Turkish	2009-2010 Spring

Course Coordinator	E-Mail	Phone Number	Course Location	Attendance
Prof. Dr. AYDIN KIZILKAYA	akizilkaya@pau.edu.tr		Course location is not specified.	%

Goals		To introduce fast adaptive filter algorithms that are prone to real-time applications and to gain the graduate students the ability of implementing these algorithms via computer simulations.
Content		Kalman filters; Square-root adaptive filters; Order-recursive adaptive filters; Finite-precision effects of various adaptive filter algorithms; Tracking of time-varying systems; adaptive filters using infinite-duration impulse response (IIR) structures; Blind deconvolution problem.

Topics

Materials

Materials are not specified.

Resources

Course Assessment

L+P: Lecture and Practice
PQ: Program Learning Outcomes
LO: Course Learning Outcomes

Prospective Student