Contents
- 1 ECE 438: Digital Signal Processing with Applications
- 1.1 Peer Legacy
- 1.2 Relevant Tables of Formulas
- 1.3 Why Digital Processing (course motivations)
- 1.4 Various Help and Resources
- 1.5 To brush up on pre-requisites
- 1.6 Practice Problems on Digital Signal Processing
- 1.7 Interesting pages in the ECE438 category
- 1.8 Course Notes
- 1.9 Semester/Instructor specific pages
- 1.10 Related Courses
- 1.11 References
ECE 438: Digital Signal Processing with Applications
Peer Legacy
Share advice with future students regarding ECE438 on this page.
Relevant Tables of Formulas
- Basic signals and functions
- Signal Metrics Definitions and Formulas
- Laplace Transform Pairs and Properties
- Continuous-time Fourier Transform Pairs and Properties
- Discrete-time Fourier Transform Pairs and Properties
- Discrete Fourier Transform Pairs and Properties
- Z Transform Pairs and Properties
- Continuous Space Fourier Transform (2D Fourier transform; frequency in hertz)
Why Digital Processing (course motivations)
- Interested in learning how Shazam, the popular music identification app on mobile devices works? Their method is based on using a generalized version of a Spectrogram. Read this to learn more. The original technical paper is available here.
- Historical Preservation: Original Caruso (1904) versus Caruso digitally processed
- A software to remove the sound of vuvuzelas at World Cup of Soccer, 2010 (see this student explanation).
- "Enhanced" George Zimmerman video
- Prof. Jan Allebach talking about the experience of a past ECE438 student now working for N-ask
Various Help and Resources
- Cheat sheet for writing ECE438 related equations on Rhea
- Practice exercises to learn how to type equations using latex (commented)
- DTFT of a Window Function (used when discussing leakage effect of signal truncation in discrete-time).
- Plot of some basic image filters
- Revelant Tables of Formulas
To brush up on pre-requisites
- ECE301 stuff about the construction of periodic signals
- Recommended exercises of Fourier series computations for CT signals, especially this one.
- Recommended exercises of Fourier series computations for DT signals
Practice Problems on Digital Signal Processing
- DFT computation
- z-transform computation)
- Inverse z-transform computation)
- Frequency domain view of sampling)
- Filter design question
- computing the z-transform and inverse-z-transform
- Want more? Click here to get to the list of practice problems on Digital Signal Processing.
Interesting pages in the ECE438 category
- List of symbols
- Dhruv Lamba's summary of filtering
- The difference between male and female voice
- Prof. Boutin Digital speech analysis lecture notes, by Peter Clay
- Ryan Scheidt's summary of Spectral Analysis of 2D signals
- Dhruv Lamba's summary of "Audio Signal Filtering"
Course Notes
Semester/Instructor specific pages
- ECE 438 Fall 2013, Prof. Boutin
- ECE 438 Fall 2012, Prof. Ersoy
- ECE 438 Fall 2011, Prof. Boutin
- ECE 438 Spring 2011 Prof. Allebach
- ECE 438 Fall 2010 Prof. Boutin
- ECE 438 Fall 2009 Prof. Boutin
- ECE 438 Spring 2009 Prof. Boutin
Related Courses
- If you liked ECE438, you will probably like ECE637.
References
- The Scientist and Engineer's Guide to Digital Signal Processing, By Steven W. Smith, Ph.D. (free online book)
- Wikibook on Digital Signal Processing
