Questions tagged [noise]
noise is a term used for the error term in statistical models and in signal processing. It could be white noise, colored noise or otherwise.
274 questions
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Noise floor estimation and occupied bandwidth detection
I am trying to detect occupied bandwidth by looking at the spectrum of the signal in environment. The scenario is mostly blind and the dominant noise is the white Gaussian noise of the environment. ...
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Distinguishing Between Models With Lots of Noisy Data
I have a series of measurements that I think is drawn from a mixture of two models which are similar, but not quite the same. The measurements are individually too noisy to distinguish between the two ...
3 votes
1 answer
76 views
What will happen if DBSCAN chooses a noise point as the initial point?
I am learning about DBSCAN, and I’m wondering what happens if it chooses a noise point as the initial point. I know that if a point satisfies the two conditions related to epsilon and minPts, it will ...
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Handling Noise in Regression Problem
Problem Description Consider a discrete time linear time-invariant (LTI) system with unknown mathematical model. The system is of order $ n $ and has $ m $ inputs and $ p $ outputs. The input and ...
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What if there is only one measurement equation containing two (or more) state variables while there are two unobservable state variables in a model?
I am learning Kalman Filter and ran into a question about the case in which only one signal is available. It is commonly assumed that the number of states equals the number of observations (signals) ...
6 votes
2 answers
376 views
Logistic regression with labels corrupted by known noise model
I am interested in knowing the "right way" to fit a binary logistic regression where the labels have been flipped with instance-specific noise probabilities that are known. For the scenario ...
0 votes
0 answers
74 views
Should I interprete data as noise or not
I am tackling a classification problem with 3 classes. Here is what those classes look like on the Two first principal axes. I fine-tuned a SVM model and the best performance achievable was 50%. By ...
2 votes
1 answer
178 views
Gaussian noise added in social sciences data
In a simulation study (number of simulation $n=200$), there is this quadratic/parabolic function simulated with Gaussian noise added: ...