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WIP: dsp chapter
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Ravenwater committed May 30, 2023
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3 changes: 2 additions & 1 deletion content/dsp/conditioning.md
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weight = 2
title = "Signal Conditioning"
date = "2023-05-29T16:55:11-00:00"
toc = true

tags = [ "dsp", "algorithm", "signal-conditioning" ]
tags = [ "dsp", "algorithm", "conditioning" ]
categories = [ "dsp", "conditioning" ]
series = [ "Digital Signal Processing" ]

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3 changes: 2 additions & 1 deletion content/dsp/filters.md
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weight = 3
title = "Digital Filters"
title = "Digital Filtering"
date = "2023-05-29T16:57:39-00:00"
toc = true

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weight = 4
title = "Identification"
date = "2023-05-29T16:58:21-00:00"
Expand All @@ -21,8 +22,8 @@ is essentially no distinction between these generating processes. We propose tha
correlation length of a dynamical system and the number of samples are crucial for the
practical definition of noise variables among the signal variables generated by such
a system. Since variables with short-term correlations reach normal distributions
faster as the number of samples decreases, they are regarded to be ``noise-like''
variables, whereas variables with opposite properties are ``signal-like'' variables.
faster as the number of samples decreases, they are regarded to be _noise-like_
variables, whereas variables with opposite properties are _signal-like_ variables.
Normality tests are not effective for data of small-size samples with high dimensions.
Therefore, we modeled noises on the basis of the property of a noise variable, that is,
the uniformity of the histogram of the probability that a variable is a noise.
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1 change: 1 addition & 0 deletions content/dsp/spectral.md
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weight = 5
title = "Spectral Analysis"
date = "2023-05-29T17:04:34-00:00"
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3 changes: 2 additions & 1 deletion content/dsp/transforms.md
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weight = 6
title = "Transforms"
date = "2023-05-29T17:05:17-00:00"
toc = true

tags = [ "dsp", "algorithm", "transforms" ]
tags = [ "dsp", "algorithm", "transform" ]
categories = [ "dsp", "transforming" ]
series = [ "Digital Signal Processing" ]

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