ECE 603Statistical Signal Processing

Units: 0.50
Level: Graduate
Faculty: Engineering
Subject: Electrical and Computer Engineering

ECE 603 as listed in the Fall 2026 Graduate Calendar. The main page has the current version, when it runs, and seats.

Optimum mininum mean-square error (MMSE) Wiener filtering. Parametric and non-parametric spectrum estimation. Eigenstructure-based frequency estimation. Statistical parameter estimation using maximum likelihood (ML), maximum a posteriori probability (MAP), minimum mean-square error (MMSE) and least squares (LS) methods. Adaptive signal processing using least-mean-squares (LMS) and recursive least-squares (RLS) approaches. Discrete-time Kalman filtering. Recommended background: ECE 316: Probability Theory/ECE 342: Signals and Systems/ECE413: Digital Signal Processing/ECE 604: Stochastic Processes.

Prerequisites

None listed.

Antirequisites

None listed.

Leads to

No course lists it as a requisite.

Check it elsewhere for Fall 2026

Graduate Calendar, Fall 2026The official entry
Requirements for Fall 2026Waterloo’s requisite checker
Schedule of Classes, Fall 2026Instructors, rooms, live seats
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Course outlinesSyllabi from past terms (UW login)
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WClassesPast sections back to 2004, and who taught them

Calendar versions

Graduate Calendar

Older Graduate Calendars

In 42 terms, Fall 2006 to Winter 2024