Basic Information
Definition and Examples of The Estimation Problem, Basic Terms And Concepts in Estimation Theory, Estimation of a Random Parameter, And of a Deterministic Parameter in a Linear Model, Parametric Models of Discrete-time Random Processes, Methods For Parametric Estimation of The Autocorrelation Function and The Spectrum Of a Stationary Process, Linear Prediction.
Faculty: Electrical and Computer Engineering
|Undergraduate Studies
|Graduate Studies
Pre-required courses
Related Books
- Digital processing of random signals : theory and methods - Porat, Boaz
- Digital processing of random signals : theory and methods - Porat, Boaz
- Fundamentals of statistical signal processing - Kay, Steven M.
- Probability, random variables, and stochastic processes - Papoulis, Athanasios
- Signal processing : the modern approach - Candy, James V.
Semestrial Information
Weekly Hours
3 Academic Credit • 2 Lecture Hours • 1 Discussion Hours
Responsible(s)
Tomer Michaeli
Notes
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מתרגלת אחראית: גילי הורוביץ
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בודק תרגילים: אלנתן כדר
Exams
Session A: 12-05-2024 08:30 - 11:30- אמדו 231.
- אולמן 203. 205.
Registration Groups
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Weekly Hours
3 Academic Credit • 2 Lecture Hours • 1 Discussion Hours
Responsible(s)
Neri Merhav
Notes
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מתרגלת: רותם אביב
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בודקת תרגילים: אור אלעזרא
Exams
Session A: 21-02-2023 Session B: 15-03-2023Registration Groups
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Weekly Hours
3 Academic Credit • 2 Lecture Hours • 1 Discussion Hours
Responsible(s)
Tomer Michaeli
Notes
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מתרגל ובודק תרגילים: נריה אוזן
Exams
Session A: 22-02-2022 17:00 - 20:00- אולמן 300. 301. 302. 303.
- אולמן 601. 602. 603.
- אולמן 202.
Registration Groups
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