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HU Credits:
6
Degree/Cycle:
1st degree (Bachelor)
Responsible Department:
Computer Sciences
Semester:
1st Semester
Teaching Languages:
Hebrew
Campus:
E. Safra
Course/Module Coordinator:
Dr. Or Ordentlich
Coordinator Office Hours:
Teaching Staff:
Prof Or Ordentlich,
Mr. Gavish Noam
Course/Module description:
The course deals with random processes and their applications in signal processing.
Course/Module aims:
Achieve a deep understanding of random processes and their applications in signal processing.
Learning outcomes - On successful completion of this module, students should be able to:
Understand signal processing applications such as noise filtering, adaptive prediction, source separation, radar and communications, and write simulations.
Attendance requirements(%):
Teaching arrangement and method of instruction:
Frontal
Course/Module Content:
-Markov Processes
-Jointly stationary random processes and optimal filtering (Wiener filter)
-Adaptive filtering
-Detection of signal in noise and the radar problem
-Digital communication
-Image compression
-More topics, if time permits
Required Reading:
Lecture notes in the course's website.
Additional Reading Material:
Course/Module evaluation:
End of year written/oral examination 0 %
Presentation 0 %
Participation in Tutorials 0 %
Project work 0 %
Assignments 60 %
Reports 0 %
Research project 0 %
Quizzes 40 %
Other 0 %
Additional information:
Some of the assignments in the course will be submitted after the end of the semester.
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