Digital Signal Processing and Representation

Fall 2024

Details

Credit

3

Mode

In Person

Component

Lecture

Meets

In Person -

Instructors

Ahmad Ghasemi

Description

Signal sampling and reconstruction. Z Transforms for systems analysis: transfer functions, stability. IIR and FIR digital filter design. Minimum phase, all-pass, and linear phase filters. Implementation of DT systems. Signal representations in vector spaces. Linear inverse problems. Matrix approximation using least squares. Computing solutions to linear least squares problems.

Eligibility


This course is open to Seniors and Graduate students in Computer Systems Engineering, Electrical Engineering, or ECE only.

Notes

Advanced digital signal processing course whose central theme is the application of tools from Z-transforms and linear algebra to problems in signal processing. The course also provides the mathematical foundation for courses in machine learning. Upon successful completion of this course students will be able to use Z-transforms to characterize discrete-time signal and system properties, and to design and implement finite and infinite impulse response (FIR/IIR) discrete-time filters. Students will also be able to describe a range of signal processing problems using the language of bases and vector spaces, and use the singular value decomposition to solve and analyze a range of least-squares problems. Prerequisite: E&C-ENG 315 or equivalent. This course is open to Seniors and Graduate students in Computer Systems Engineering, Electrical Engineering, or ECE only.

Start Date

End Date

Subject Description

Electrical & Computer Engin

Subject

E&C-ENG

Catalog Number

565

Class Number

29147

Course ID

047776

Section

01

Academic Career

GRAD

Meeting

Mo We Fr 1:25PM 2:15PM Engineering Laboratory rm 305

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