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Questions tagged [statistics]

Statistics is the study of the collection, organization, analysis, and interpretation of data.

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0 answers
25 views

Estimating IMU biases without using any external aid

Assuming that Inertial Measurement Unit (IMU) contains accelerometer and gyroscope, I want to estimate the bias in each of the sensors. We know that accelerometer and gyroscope have biases which ...
user146290's user avatar
0 votes
1 answer
32 views

Frequency decomposition of forecast error variance

I think my question concerns statistical signal processing. I was referred to this site by a user at Cross Validated. I want to do a frequency-domain decomposition of generalized forecast error ...
Pavel Filip's user avatar
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1 answer
60 views

Determine if measured gaussian noise have constant mean

lets say I am measuring ($z$) Gaussian noise with known variance sigma in each step, i.e. $z_k = v_k$, where $v_k$ is Gaussian distribution with known variance $\sigma_k$ (changing with each step) ...
Jakub's user avatar
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1 vote
0 answers
51 views

Statistical technique for distinguishing between artefacts and no artefacts [closed]

I would like to know how to create an algorithm from the table below in order to distinguish between data that has artefacts and data that does not. I'm trying to leverage video attributes like ...
Coder's user avatar
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0 answers
64 views

What is the difference between the general white process and the white process of order 𝑝?

Antoni uses the following definition of white process of order $p$: a process whose all cumulants up to order p are such that $$\text{Cum}\left[X(t),X(t-\tau_1)\cdots,X(t-\tau_{r-1})\right]=C_{rX}\...
Gideon Genadi Kogan's user avatar
1 vote
1 answer
130 views

Is there a quadratic version of exponential smoothing?

I have a time series - let's say I'm given one new sample (a real value) every second. I could take a moving average of the last 50 samples or I could use exponential smoothing of the samples with a ...
Peter Balch's user avatar
0 votes
1 answer
128 views

Sampling a pulse train with a controllable square wave

I have an issue regarding a sampling process of a pulse train in an image sensor based on events. Basically, these are a family of image sensors in which each pixel outputs a train of pulses, and the ...
Sergi's user avatar
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3 votes
1 answer
182 views

What is the relation between the 1/f spectral noise density and the Allan deviation noise floor? (I found a value of $\frac{5}{3}$)

I have some noise density that consists of 1/f noise and white noise like so: I then select an arbitrary sampling frequency $f_S$ and data length $n$ and compute a time domain noise data vector like ...
tobalt's user avatar
  • 468
3 votes
1 answer
344 views

1/f noise: Why does the Allan Deviation remain constant, while standard error of mean keeps decreasing for long averages?

It is a rather well-known fact, that measurement precision is limited by the 1/f noise of a signal [1]. One way to show this in a concise fashion, is to plot the Allan deviation of the signal. For ...
tobalt's user avatar
  • 468
0 votes
1 answer
56 views

Comparing methods of blind source separation

I am currently working on blind source separation using sparse hypotheses and convolutive mixtures. For my project, I have compared three different methods and calculated the Signal-to-Distortion ...
BLOBA fitz's user avatar
2 votes
1 answer
140 views

How to find the variance of a noise signal distorting an ADC measurement

Say we have a 12-bit ADC measuring a signal with a voltage range of 0-10V, but the signal is corrupted by uniformly distributed 3-bit white noise. What's the correct way to get the variance of the ...
Mikayla Eckel Cifrese's user avatar
1 vote
1 answer
57 views

Expectation and autocorrelation for modulated sinusoid

Given $$ Y(t) = A X(t) \cos(\omega t + \phi) $$ with $X(t)$ is zero-mean WSS (wide-sense stationary) process, $\phi$ ~ Unif$(0,2\pi)$. Suppose $X(t)$ and $\phi$ are independent random variables. I ...
XXX1010's user avatar
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1 vote
1 answer
88 views

Why is the total noise variance less than the sum of individual noise variances?

I have three random variables: $Y$: my data $Y_n$: my data corrupted by additive white Gaussian noise (AWGN) $Y_{nc}$: my noisy data corrupted by a non-linear transformation $\mathcal{C}$. I have ...
graille's user avatar
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1 vote
0 answers
48 views

Variance of Value Expressed as Number of Changing Bits

I consider values physical measurements, expressed as variables of type int16, uint32, float ...
Yair M's user avatar
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1 vote
1 answer
126 views

How to figure out or estimate the level of noise in a given data distribution

I have been given a data distribution which was synthetically generated by geostatistical methods such as variogram analysis. Without having the source of the technique which generated the data, is ...
2023_resolution's user avatar

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