- NEW for Winter quarter 2018: experiment with DSP applications on your smartphone!
- All students will experiment with DSP implementations on an embedded platform: DSP Shield or their own smartphone (see below)
- Sign up for 4 units to meet the EE undergraduate design course requirement
- Register for EE 264W to satisfy the writting in the major and EE undergraduate design course requirements
What is Signal Processing?
Video courtesy of the IEEE Signal Processing Society.
- Discrete-Time Signal Processing, 3/E, Alan V. Oppenheim and Ronald W. Schafer, Pearson, 2010
Processing (DSP) is at the heart of almost all modern technology:
digital communications, audio/image/video compression, 3D sensing for
human machine interfaces and environment perception, multi-touch
screens, sensing for health, fitness, biometrics, and security, and the
list goes on and on. Applications of signal processing include
some of the hottest current technology trends: internet of things
(IoT), cloud computing, software-defined radios, robotics, autonomous
vehicles, etc. We are also starting to see higher levels of performance
and reduced computational requirements by combining DSP and machine
|In EE 264 you will learn the fundamentals of DSP:
• Discrete-time (D-T) random signals
• Sampling, reconstruction, D-T filtering, multi-rate systems
• Quantization in analog to digital conversion, and oversampling
• Properties of linear time invariant (LTI) systems
• Quantization effects in fixed-point implementations of filters
• Digital filter design
• Discrete Fourier Transform (DFT) and FFT
• Spectrum analysis using the DFT
• Parametric signal modeling
We will use the flipped-classroom format. Classroom time will focus on deep understanding of concepts and applications via discussions with instructors and guest speakers.
Lab course in Winter quarter
In Winter quarter the course includes a hands-on lab component with focus on practical implementations of DSP applications
on embedded platforms. You can develop the lab on a embedded processor
board (DSP Shield1) provided by the department or you can use your own Android or iOS smartphone or tablet. The DSP Shield
is a portable embedded processor board with an easy to use C++
development environment very similar to the popular Arduino IDE.
The board also contains an audio codec, which would allow us to explore
DSP applications in the audio frequency range.
We will use C++ to implement DSP applications and each lab includes
starter code to hide platform specific details, including the GUI for
the smartphone platforms. Therefore, no low-level or smartphone
programming experience is required.
will have a dedicated lab session on Fridays from 3 to 4:30 pm, where
you can complete the labs and project. However, you will have
access to the DSP Shield and all required accessories so you can
experiment whenever and
wherever is convenient for you! If you choose to use your own smartphone, well you already have everything that is needed.
For the final project, you will implement
an audio-band orthogonal frequency division multiplexing (OFDM) receiver or you can propose your own project (subject to instructors approval).
All students are required to complete a final project up to the Matlab
prototype phase. Students taking the course for
4 units in addition are required to implement the project on an
embedded processing plarform (DSP Shield, Android or iOS device).
Note that the 4 unit version of the class is required to satisfy the EE
Some of the projects that has been implemented in the past include:
RequirementsPre-requiresites: EE 102A and EE 102B or equivalent, basic programming skills (Matlab and C++)
|Computer OS 2||macOS or Windows
||macOS or Windows
||X Code or Android Studio||X Code
||n/a||Java (provided in starter code)
||Swift (provided in starter code)