Gain practical knowledge required for understanding, specifying, and designing DSP systems.
Topics covered in this course will include DSP system architecture, the theory of signal processing, sampling, anti-aliasing, convolution, digital filter design and spectrum analysis. A practical understanding of the mathematical basis of signal processing is developed through design examples and demonstration. 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 Signals and Systems
- Z-transform
- Frequency Domain Representation of Discrete-time LTI Systems
- Discrete Fourier Transform
- IIR and FIR Filter Design
- Digital Filter Structures
- FFT Algorithms
Course Learning Outcomes:
- Analyze Discrete-time Systems
- Design and Implement Digital Filters
- Compute Signal Spectrum using FFT
- Evaluate and Incorporate A/D and D/A Converters
- 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
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6/21/2022 - 8/16/2022
$845
Online
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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:
Thyagarajan, Kadayam, Sr. Scientist, Micro USA
Kadayam Thyagarajan is the senior scientist at Micro USA. He has extensive research and development experience in advanced image processing and video compression algorithms, extraction of very low contrast target images, detection, classification as well as enhancement of medical images. He holds several patents and has published two books in image processing and video compression.
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TEXTBOOKS:
REQUIREDIntroduction to Digital Signal Processing Using MATLAB with Application to Digital Communications 1st
by K.S.Thyagarajan
ISBN / ASIN: 9783319760285
You may purchase textbooks via the UC San Diego Bookstore.
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POLICIES:
No refunds after: 6/27/2022.
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6/21/2022 - 8/16/2022
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.
There are no sections of this course currently scheduled. Please contact the Science & Technology department at 858-534-3229 or unex-sciencetech@ucsd.edu for information about when this course will be offered again.