Digital Signal Processing (DSP)

Gain practical knowledge required for understanding, specifying, and designing DSP systems.

Digital signal processors have become indispensable in many engineering disciplines, including electronics, computer, communications, and biomedical engineering. They form the workhorse of media processing, allowing the streaming and storage of high-quality digital audio and video. This course will cover the spectral analysis of discrete-time signals and systems, sampling, IIR/FIR/resampling/adaptive digital filter design and implementation, polyphase filter banks, discrete Fourier and cosine transforms, FFT algorithms, subband coding, noise cancellation, and the latest DSP hardware and software, including the multi-threaded Qualcomm Hexagon DSP architecture, instruction processing, and software kernel. A practical understanding of the mathematical basis of signal processing is developed through design examples, applications, and Matlab demonstrations. The course is geared toward interested hardware and software engineers, and scientists who need to know the fundamental techniques used in the rapidly expanding field of digital signal processing.

Course Highlights:

• Discrete-time LTI Systems and Discrete Convolution
• Sampling, Quantization, Anti-Aliasing, and Multi-Rate Signal Processing
• Z-transform and Digital Filtering
• Discrete Fourier and Cosine Transforms, Modified DCT (MDCT), and FFT Algorithms
• IIR, FIR, Resampling, Adaptive Filers, and Polyphase Filter Banks
• Subband Coding and Least Mean Square (LMS) Noise Cancellation
• Multi-threaded Qualcomm Hexagon DSP Architecture, Instruction Processing, and Software Kernel

Course Learning Outcomes:

• Analyze Discrete-time Signals and Systems
• Design and Implement Digital Filters
• Compute Signal Spectrum using FFT
• Understand State-of-the-Art DSP Hardware and Software
• Apply DSP Techniques to Practical Systems

Software: Matlab & Simulink Student Version available at Mathworks.

Course Typically Offered: Online in Winter and Summer quarters.

Prerequisite: ECE-40051 Signals and Systems or equivalent knowledge and experience

Next Step: Upon completion of this course, consider taking DSP in Wireless Communication

Contact: For more information about this course, please email unexengr@ucsd.edu

Course Number: ECE-40016
Credit: 3.00 unit(s)
Related Certificate Programs: Digital Signal Processing

+ Expand All

6/25/2024 - 8/24/2024

$845

Online

Closed

• SECTION ID:

  181533

• CLASS TYPE:

  Online Asynchronous.
  
  This course is entirely web-based and to be completed asynchronously between the published course start and end dates. Synchronous attendance is NOT required.
  You will have access to your online course on the published start date OR 1 business day after your enrollment is confirmed if you enroll on or after the published start date.

• INSTRUCTOR:
  

  Bing, Benny

  Benny Bing has published over 70 scientific papers and 16 books, and has 6 U.S. patents licensed to industry. He has served as a technical editor for the IEEE Wireless Communications Magazine for 10 years, a guest editor for the IEEE Communications Magazine (twice) and IEEE JSAC, and an IEEE Distinguished Lecturer. His IEEE tutorials were sponsored 8 times by industry. Cisco Systems launched its first wireless product using 18,000 printed copies of one of his books. In addition, he was invited by Qualcomm and Comcast to conduct on-site courses, and the NSF to serve as a panelist on residential broadband. Among the various research, teaching, and industry awards he has received include the NAB Technology Innovation award. He holds undergraduate and graduate degrees in electrical enginee...Read More

• TEXTBOOKS:

  REQUIRED

  Digital Signal Processing: Fundamentals and Applications - 3rd ed. 3rd
  by Tan, Lizhe and Jiang, Jean
  ISBN / ASIN: 9780128150719

  You may purchase textbooks via the UC San Diego Bookstore.

• POLICIES:

  No refunds after: 7/1/2024.
  

• NOTE:

• DATE & LOCATION:

  6/25/2024 - 8/24/2024
  extensioncanvas.ucsd.edu
  You will have access to your course materials on the published start date OR 1 business day after your enrollment is confirmed if you enroll on or after the published start date.