About EE 275 A

Covers principles and methods for digital signal processing. The analysis and design of discrete-time systems as signal processing devices is provided in the context of filter design and topics on image processing. Topics covered: quantization, reconstruction of signals, z-transform, FIR/IIR, intro to images, pixel and region-based classification and segmentation, among others. Prerequisite: EE 171.

Notes

Prereq enforced by system: EE 171; Autonomous Systems Elective; Open to Degree and CDE Students.

Section Description

The main objective of the course is to provide a comprehensive introduction to the principles and methods for digital signal processing. The analysis and design of discrete-time systems as signal processing devices is provided in the context of filter design and topics on image processing. Topics covered: quantization, reconstruction of signals, z-transform, FIR/IIR, simple filter adaptation, intro to images, thresholding, pixel and region-based classification and segmentation, morphology and applications.

Section Expectation

Students are expected to attend all lectures and be active participants in the lecture dynamic. Students must be respectful of the instructor and their classmates. Students are responsible to read assigned sections of the book, getting to class on time and turning homework on time.

Evaluation

Weekly problem/software homework, 2 midterm exams and 1 final project.

Course Dates

to

Location

Perkins Building 107 (View Campus Map)

Times

to on Monday, Wednesday and Friday

Important Dates

Note: These dates may change before registration begins.

Note: These dates may not be accurate for select courses during the Summer Session.

Deadlines
Last Day to Add
Last Day to Drop
Last Day to Withdraw with 50% Refund
Last Day to Withdraw with 25% Refund
Last Day to Withdraw

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