ECE 551: Digital Signal Processing II (Fall 2022)

Course Description

Graduate-level introduction to signal processing with emphasis on vector space methods and adaptive signal processing. The course prerequisites are undergraduate level probability (ECE 313) and DSP (ECE 310). The linear algebra content will be self-contained, though taught at a somewhat fast pace.

Course Information

  • Lectures: Tue-Thur 12:30-13:50 PM

  • Location: 2017 Electrical & Computer Eng Bldg

  • Instructor: Prof. Zhi-Pei Liang, Email: z-liang AT

  • TA: Ziyang Xu, Email: ziyangx2 AT

    • Office hours: Wednesday, Friday 1:00-2:00 PM

    • Location: ECEB 4034

Course Campuswire

ECE 551 Campuswire Link
Group Join Code: 2869

Grading Policy

  • Homeworks: 20%

  • Midterm 1: 20%

  • Midterm 2: 20%

  • Final Exam: 40%

Academic Integrity

This course will operate under the following honor code: All exams and homework assignments are to be worked out independently without any aid from any person or device. Copying from any source is not permitted and will be considered cheating, hence subject to the stipulated university policies. By enrolling in this course and submitting exams and homework assignments for grading, each student implicitly accepts this honor code.


  • Vetterli, Kovačević, Goyal, Foundations of Signal Processing, Cambridge University Press, August 2014, here

  • Vetterli, Kovačević, Wavelets and Subband Coding, 2nd edition, here

  • J.G. Proakis and D.G. Manolakis, Digital Signal Processing. Principles, Algorithms and Applications, 4th Ed., Prentice-Hall, 2007.

  • A.V. Oppenheim, R.W. Shafer, and J. R. Buck, Discrete-Time Signal Processing, Prentice-Hall, 1999.

  • A. C. Singer, Powerpoint Notes. here