Course Description
Digital signal processing (DSP) techniques and design of DSP applications. Topics include: discrete-time random signals; sampling and multi-rate systems; oversampling and quantization in A-to-D conversion; properties of LTI systems; quantization in fixed-point implementations of filters; digital filter design; discrete Fourier Transform and FFT; spectrum analysis using the DFT; parametric signal modeling and adaptive filtering. The course also covers applications of DSP in areas such as speech, audio and communication systems. The optional lab section (Section 02) provides a hands-on opportunity to explore the application of DSP theory to practical real-time applications in an embedded processing platform. See ee264.stanford.edu for more information. Register in Section 02 to take the lab. Undergraduate students taking the lab should register for 4 units to meet the EE design requirement. The optional lab section is not available to remote SCPD students.
Grading Basis
ROP - Letter or Credit/No Credit
Min
3
Max
4
Course Repeatable for Degree Credit?
No
Course Component
Lab Section
Enrollment Optional?
Yes
Course Component
Lecture
Enrollment Optional?
No
Prerequisite
Complete ALL of the following Courses:
- 2031051
- 2031061
EE 102A and EE 102B or equivalent and basic programming skills (Matlab and C++) recommended.
Does this course satisfy the University Language Requirement?
No
Schedule
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Courses
EE264 is a prerequisite for:
Programs
EE264 is a completion requirement for:
- (from the following course set: )
- (from the following course set: )