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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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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How to design bandpass filter in python when centre frequency is greater than sampling frequency?
I implemented basic bandpass filter using Scipy resource. But how to implement the same when signal is centred at non-zero centre frequency with centre frequency > sampling frequency.
I trying to ...
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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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correcting mirror ghosting effect
I have an application in which I have to process images taken through a mirror. The camera and mirror positions are fixed, and the object is always in the same position with respect to the mirror. The ...
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Separate key-related frequencies from audio signal
I have various samples of various instruments sound, and I'm trying to classify them using pyAudioAnalysis and various Machine Learning algorithms. The samples ...
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Artificial Neural Network Preprocessing in Real-Time Applications
I've come across an issue with my ANN when attempting to port my offline analysis to an online, real-time, application.
I currently train my algorithm using an array of input data, number of ...
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pre-emphasis with scaling?
I am working on speech synthesis with LPC and I originally implemented a pre-emphasis filter:
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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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Is this image good enough for OCR?
Hello I'm trying to ocr on a special image.
I've done adaptive threshold , polartocartesian transformation.
this is my original image
this is adaptive threshold
this is polartocartesian ...
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What is the difference between "preprocessing" and "normalization"?
I am currently writing my bachelors thesis about on-line handwriting recognition.
In this context, there are different methods to make the input data more useful to classifiers / to make learning ...
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Preprocessing audio signal for neural network classification
I need to identify certain features of the audio signal recorded from microphone in stethoscope. These sounds are only samples i've found, but the final signal will be probably a bit noisier (maybe ...
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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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Effect of different downsampling rate on EEG signal
I have a raw EEG signal of length 2,50,000 samples. I band passed it from 0.05-10Hz (sampling frequency=500). Then I down sampled it at 20Hz. Now question is: What will be effect if I vary down ...
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what are best features [closed]
I am doing OCR for Kannada and English. What are the best features in image? Please also tell me some tools to perform OCR before implementing it as code (like Rapiedminer for machine learning).
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Is it an excessive pre-processing step in image processing?
I wanted to consult with some experts whether or not this pre-processing step is excessive for what I'm trying to achieve. I am in a similar scenario as the author of the article, where I have many ...
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