Questions tagged [normalization]
The normalization tag has no usage guidance.
89
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Is it possible to normalize FIR filter coefficients to "perserve gain on average"?
Let's say we are given a random discrete time FIR filter.
I'm wondering if there is a standard way to normalize its filter coefficient in a way to make the filter "energy preserving on average&...
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Constraints in Dynamic Time Warping for Speech
The Dynamic time warping is applied for time normalization. As shown in the diagram, two different signals with $Tx$ and $Ty$ time instants, are time-normalized to have $T$ time instants. $\phi$ is ...
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67
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Normalized audio cross corelation
I'm trying to cross corelate two audio files to see where they line up.
In scipy im doing: correlation = correlate(audio1, audio2, mode='full')
Given the graph ...
5
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1
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What algorithms exist for dynamic audio normalization?
I'm manually editing the WAV files for an audiobook. There are often sections where I have to amplify a section, and then amplify sub-sections due to the variability of the quality of the original ...
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How to normalize the FFT?
I want to normalize my FFT signal. From this page it says that we can normalize it by dividing the FFT result by the lenght of the signal in time domain.
On the other hand, my supervisor told me that ...
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92
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STFT normalization
In Scipy's implementation of STFT, an argument allows to scale the result as a spectrum or as a psd :
...
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Improving the Time Domain Normalization of Acoustic Sound Data
I have tried to evaluate the analog microphone (IMP23ABSU) built into the STEVAL-STWINKT1B with the FP-SNS-DATALOG1 (HS-Datalogger). The values were exported as "raw values" (this is an ...
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47
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Normalize the output signal that may be as similar as possible the input
I'm having a problem to normalize my output signal (extracted EEG signal) after applying Independent Component Analysis (ICA) that may be as similar as the original source (EEG signal). I need do this ...
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Reducing or removing autocorrelation in spatially correlated data
I am trying to figure out how one can reduce or preferably remove autocorrelation in spatially correlated data. Using the R code below, one generates spatially correlated data that is normally ...
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Why is scaling of images / pixels into `[0, 1]` range performed before SIFT (Scale Invariant Feature Transform) algorithm?
The SIFT paper and the paper of Anatomy of the SIFT Method do not mention that the input images should be preprocessed (normalized, re-scaled) before feeding images into the standard SIFT algorithm. ...
- 213
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Normalized Power of a signal [duplicate]
I have the following power values in Watts of a signal:
6.5e-8, 4.6e-8, 7.1e-8, 1.01e-7, 9.98e-7, 2.5e-6, 3.96e-6, 2.84e-5, 2e-4, 4.05e-4, 1.7e-6, 8e-7, 8.23e-8, 8.32e-8.
How do I normalize this to ...
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244
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Bring two Fourier transforms to same range to add them
I have Fourier transforms of two images which I wish to add (Basically I have an input Fourier transform which I mask, reconstruct the underlying image using an algorithm, and then try to replace the ...
- 71
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58
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Standardizing signals from the same experiment setup with different recording tools
I've been looking to merge two datasets I have, that capture instances of the same phenomenon using two different recording tools. Both are multichannel electrical signals, but the recording tools ...
- 11
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122
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Mann-Kendall Trend Test
I'm using the pyMannKendall package in Python to detect the presence of slope of any given waveform. More details of the package here:
https://github.com/mmhs013/pyMannKendall
I'm not exactly able to ...
- 111
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Normalize Bessel filter
I am applying a low pass filter to my signal and I should make sure the transfer function of my filter is one. How can I normalize my filter?
I am learning about filters and I appreciate any help.
<...
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