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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:
Prof. Yuval Kochman
Coordinator Office Hours:
Teaching Staff:
Prof Yuval Kochman,
Mr. Benjamin Assouline
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
Required Reading:
Lecture notes in the course's website.
Additional Reading Material:
Grading Scheme :
Written / Oral / Practical Exam / Home Exam 15 %
Submission assignments during the semester: Exercises / Essays / Audits / Reports / Forum / Simulation / others 60 %
Mid-terms exams 25 %
Additional information:
Some of the assignments in the course will be submitted after the end of the semester.
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