Welcome to EE265

Department of Electrical Engineering
Stanford University
Winter 2008-2009

Announcements

Course Information

Labs and Documents

Final Project

Course description: This course introduces the fundamentals of applied digital signal processing by implementing a wide range of digital signal processing (DSP) applications on the Texas Instrument (TI) TMS320C55x DSP processor. Applications covered include digitization of analog signals, FIR filtering, IIR filtering, FFT, FFT filtering, data, and wireless communication. Real-time implementation issues as well as performance tradeoffs and processor/algorithm limitations are stressed with the intent that upon completing this lab course, you will be able to apply DSP processing to your work, projects, experiments or any real-world application that you may encounter.

This course can be summarized with the following questions:

1. How do you acquire signals and what are the constraints in terms of signal bandwidth, processing throughput, storage, and error tolerance (quantization, error propagation, and aliasing).
2. What techniques can you apply to the acquired signals such that the desired effect/specification can be achieved?
3. What effect does different DSP architecture have on these requirements?

 

Instructor:

 

Teresa H. Meng

TAs:

Andy Chen, ta.ee265.andy at gmail dot com

Andrew Price, adprice at stanford dot edu

Secretary:

Trish Halloran-Krokel, trish at shasta dot stanford dot edu

Location:

Lecture:              Gates B12

Lab Session:       Packard 001

Laboratory:         Packard 001

Time:

Lecture:              3:15pm - 5:05pm (Tuesday)

Lab Session:       3:15pm - 5:05pm (Thursday)

 

 

Last modified: Jan. 3, 2009