What information is lost when a continuous signal becomes discrete?
ENTRYTASK
#introductions
From Analog...
...to Digital
Distortions
Sampling Limitations
Noise
What is the sampling rate here?
19/6000s = 0.0032 Hz
[104, 104, 104, 103, 103, 102, 101, 101, 100, 100, 99, 99, 98, 98, 98, 99, 99, 100, 100]How to represent the data?
What information is lost when a continuous signal becomes discrete?
Examples: resolution, timing, certain frequencies..
Fourier Analysis
any signal can be decomposed into harmonic signal components
complex
with circular frequency
many different waves combined
Fourier Analysis
usually high frequency noise
60 Hz noise: electric humming around transformers
Frequency in images ~ level of detail
0
0
low pass filter
high pass filter
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Electrocardiogram
JOURNAL
Intro to Research
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+ 10 Sessions
CS666 Lecture 03
By Avanith Kanamarlapudi
CS666 Lecture 03
Slides for CS666 Biomedical Signal and Image Processing at UMass Boston. See https://cs666.org!
