Semester.ly

Johns Hopkins University | EN.520.646

Wavelets & Filter Banks

3.0

credits

Average Course Rating

(4.5)

This course serves as an introduction to wavelets, filter banks, multirate signal processing, and time-frequency analysis. Topics include wavelet signal decompositions, bases and frames, QMF filter banks, design methods, fast implementations, and applications. Recommended Course Background: EN.520.435, AS.110.201, C/C++ and Matlab programming experience.

Fall 2012

(4.75)

Fall 2013

(4.17)

Fall 2014

(4.86)

Fall 2022

(4.2)

Fall 2012

Professor: Trac Duy Tran

(4.75)

The best aspect of this course was developing a strong understanding of wavelets and their uses. The professor was organized, clear and approachable. The downsides included the difficulty of the textbook and that the exam problems were not always representative of the material learned in class. Students suggested that the professor should have covered a broader variety of applications and should have given more example problems. Students should have a good background in digital signal processing and review those concepts before the course.

Fall 2013

Professor: Trac Fuy Tran

(4.17)

Students thought that the best aspects of this course were the interesting topics and the professor’s thorough lecturing style. Students found the materials chal enging but refreshingly so, although students did complain that the homework load was intense and the difficult materials sometimes led to confusion. Students suggested that the course be broken up into multiple shorter sessions to give them time to review the materials. They also wanted solutions to homework and the exams posted so they could use these materials when studying. Prospective students should have a solid understanding of probability, statistics, and signal processing and be prepared to take on a heavy course load.

Fall 2014

Professor: Trac Duy Tran

(4.86)

Students praised this course for covering ‘extremely relevant material’ in a systematic and well organized way. Perceived issues with the course varied greatly; multiple students thought that the course had such a tight schedule that it felt as though the instructor rushed through certain topics or that they were awkwardly taught. Suggestions for improvement included a desire by multiple students that the instructor provide them with additional ways to review material; one student requested the 122course have dedicated review sessions while another asked that exams from previous years be provided to current students so they could study from them. Prospective students should know that students found the course had a significant workload and it was necessary to have a strong background in probability and math in order to do well in the course.

Fall 2022

Professor: Trac duy Tran

(4.2)

Lecture Sections

(01)

No location info
T. Tran
11:00 - 11:50