Questions tagged [preprocessing]
Preprocessing is a relative term that usually refers to simpler operations applied to improve the operation of a more complex algorithm.
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Auditory models which are not human
I am doing a machine learning project and I'm interested in the different pre-processing techniques which can be applied to audio data. In particular, I am interested in comparing a human auditory ...
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How to detect offset that changes along time in a signal?
I have an issue that has to do with detrending a signal. First, it seems my signals behaves a little unusual (for me, I think). Some signals starts with a quite large offset, then it seems to ...
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Measuring respiratory rate from a 3d accelerometer signal? How do I preprocess this data and move forward with it?
I have read a decent amount of papers that used wrist smartwatches to measure respiratory rate, or papers that used sensors attached to a persons chest. I can link them if it is necessary.
I am ...
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Calculating gyroscope data from accelerometer and attitude data
I am currently collecting accelerometer and attitude data using smartphone sensors. Data is collected at 100Hz over 2.5 seconds. Of which there are 250 accelerometer points and 250 points representing ...
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For extracting the characteristics of the signal what minimum duration should be considered?
Being non signal processing student I have a limited understanding of concepts.
I have a continuous periodic bearing faulty signal of 10 seconds duration sampled at 12 kHz. So I have 120,000 ...
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pre-processing to improve feature detector before tracking
I am trying to make tracking for soccer player, I need to detect features from this player and then estimate the distance difference of these pixels over number of frames.
first I have to detect the ...
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select meaningful part out of a signal (for goertzel)
I have an on going input signal, most of the time with no activity.
Once in a while there is an activity (oscillations in different freq).
I need to take good 205 samples out of the signal.
what i ...
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Fiber Photometry (Fluorescence) Signal Preprocessing through Source Separation and Baseline Correction
I am working on preprocessing fiber photometry data. The data collection involves inserting fibers into an animal, where the reflection of specific wavelengths of light is captured. We collect two ...
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What is the best approach when training and HDR model with LDR data?
I am working on this project "EMLight".
Data: HDR Panoramic Photos
y: Illumination Map of the Panorama
X: HDR Croppings from the Panorama
I want to make this project work with LDR photos, ...
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Peak Sharping of multi-signal data
I have multi-signal data and as a processing step want to apply peak sharping of signal as shown in fig below.
is there any way I can achieve this in python ?
Literature :Paper 1(Peak sharping section ...
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Pre-Processing Wi-Fi Channel State Information (CSI) Data
I was successfully able to collect some CSI data using the existing tool(s) on GitHub (https://github.com/StevenMHernandez/ESP32-CSI-Tool). The CSI data is a pair of imaginary and real number which ...
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FFT response for noisy signal, averaging the response and
I try to analyze a system's state with acceleration sensors by measuring the frequencies and amplitudes.
Since a cheap sensor is used, I have a noisy signal in the beginning (up to 40Hz - see below). ...
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Detect Trigger in vibrational data
I'm trying to classify states with a 1D-CNN-Network structure. Therefore I need to analyze the incoming vibrational data in a certain window. Two examples of such signals are shown below.
I'm ...
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Upsampling and downsampling signals as a preprocessing step for a neural network
I have audio data acquired from a 4 channels sensors array.
As a preprocessing step for a neural network, I want to beamform and focus on the sound source. For higher resolution in the beamforming ...
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The essential pre-processing steps in speech signal analysis
My question is that for simulating a new scheme for speech emotion recognition (feature extraction and classification), what are the necessary pre-processing steps (I mean any kind of normalization ...
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