electrical-engineering-123-spring2015-ucberkeley (36 files)
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| Electrical Engineering 123 - 2015-04-24 - How signal processing changes optical imaging-6CQk6d5P5iY.mkv |
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Type: Course
Bibtex:
Tags:
Bibtex:
@article{,
title= {Electrical Engineering 123, 001 - Spring 2015 - UC Berkeley},
keywords= {},
author= {Shimon Michael Lustig},
abstract= {Catalog Description: (4 units) Discrete time signals and systems: Fourier and Z transforms, DFT, 2-dimensional versions. Digital signal processing topics: flow graphs, realizations, FFT, quantization effects, linear prediction. Digital filter design methods: windowing, frequency sampling, S-to-Z methods, frequency-transformation methods, optimization methods, 2-dimensional filter design.
Prerequisites: EECS 120, or instructor permission.
Course objectives: To develop skills for analyzing and synthesizing algorithms and systems that process discrete time signals, with emphasis on realization and implementation.
Why should you care? Digital signal processing is one of the most important and useful tools an electrical engineer could have. It impacts all modern aspects of life and sciences; from communication, entertainment to health and economics.},
terms= {},
url= {https://inst.eecs.berkeley.edu/~ee123/sp15/}
}
