Electrical Engineering 123, 001 - Spring 2015 - UC Berkeley
Shimon Michael Lustig



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electrical-engineering-123-spring2015-ucberkeley (36 files)
Electrical Engineering 123 - 2015-01-21-6_-ljdxjwac.mkv220.82MB
Electrical Engineering 123 - 2015-01-23-YkDsqLUqJJ4.mkv121.43MB
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Electrical Engineering 123 - 2015-02-18-QcEhah5Mm64.mp4122.11MB
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Electrical Engineering 123 - 2015-03-18-pUWNG7KgIZY.mkv386.43MB
Electrical Engineering 123 - 2015-03-20 _ LAST MINUTE OF LECTURE NOT AVAILABLE-Ai8TV2iwTGA.mp4212.32MB
Electrical Engineering 123 - 2015-03-30-HRvTtu7DSxQ.mp4120.31MB
Electrical Engineering 123 - 2015-04-01-ffE1a4l0nT4.mp4127.02MB
Electrical Engineering 123 - 2015-04-06 _ FIRST 18 MINUTES OF AUDIO NOT AVAILABLE-d0mbo4Dfj7Y.mp4102.56MB
Electrical Engineering 123 - 2015-04-08-TNe2XEroPrU.mp4121.71MB
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Electrical Engineering 123 - 2015-04-15-R5xhW6h8SMc.mp491.83MB
Electrical Engineering 123 - 2015-04-17 _ LAST MIN OF LECTURE NOT AVAILABLE-nwr8dVOH1GU.mp4102.97MB
Electrical Engineering 123 - 2015-04-20 _ LAST MIN OF LECTURE NOT AVAILABLE-3Ag_B0eNTcw.mp4131.19MB
Electrical Engineering 123 - 2015-04-22 - Node-Pore Sensing-3ACwBm9Id7A.mkv336.67MB
Electrical Engineering 123 - 2015-04-24 - How signal processing changes optical imaging-6CQk6d5P5iY.mkv127.81MB
Electrical Engineering 123 - 2015-04-27-cpFbpT3UWbY.mp494.36MB
Electrical Engineering 123 - 2015-04-29-WV09Rb_zF-Q.mkv390.19MB
Type: Course
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/}
}