The signal-detection tag has no wiki summary.
3
votes
2answers
138 views
Auto crop black borders from a scanned image by making stats about gray values
I'm writing a computer program to automatically detect black noisy borders on scanned images and crop them off.
My algorithm is based on 2 variables: gray mean value (of the pixels in a rows/columns) ...
0
votes
0answers
20 views
Determining maximum of a noisy waveform with known frequency over multiple periods
I have a base signal which is a wave with (fairly) consistent shape and known frequency. On top of that signal is some uniformly distributed additive noise (wave goes from -1 to 1, noise is uniformly ...
2
votes
0answers
36 views
How to improve estimation of a deconvolved density
I have the following problem:
Y = X + e
with
Y = Total reaction time (noisy signal)
X = selection time (signal)
e = discrimination time (noise)
I am interestend in the distribution for X and ...
0
votes
4answers
190 views
What type of regression model do I use?
$y = \mathbf{X} \beta$ + $\epsilon$ + $m$
Where y, $\epsilon$, and $m$ are $n \times 1$ column vectors, $\beta$ is $p \times 1$ and $\mathbf{X}$ is $n \times p$.
$y$ is a noisy time-series signal ...
3
votes
1answer
100 views
When to use B'' or B''D as a measure of response bias?
I hope this is not a stupid question, but here it goes:
Based on information from Macmillan and Creelman's Detection Theory (2005) and Pallier's R-code that I found here, Computing discriminability ...
0
votes
2answers
69 views
What is the best way to detect trends in item popularity?
Assume I have kept track of the number of views per page and I want to show trending pages.
I am thinking about applying some statistical tests like Log-likelihood/chi-squared to detect breakthroughs ...
0
votes
0answers
74 views
Sensitivity and criterion for single interval go-nogo reaction time task with unequal probabilities of target occurrence at different epochs
I have a task which is a single interval button press reaction time analysis for the participant's response to a target sound amongst 5 sounds in each trial.
There are some catch trials also, in ...
0
votes
2answers
206 views
How to distinguish between periodic and random impulse?
I am working for two signals. One is a dataset with 10 equally spaced impulses. Another is a dataset with randomly spaced impulses of identical length. The higher order moments, such as kurtosis, ...
1
vote
1answer
246 views
Effect size and signal detection
Are d prime (d') in signal detection theory and Cohen's d (mainly reported in the context of the general linear model) measures for the same thing (i.e., the difference of the means in SD-units), and ...
0
votes
1answer
128 views
Change detection algorithm - likelihood ratio
Consider a sequence of independent random variables $(y_k)_k$ with a
probability density $p_{\theta}(y)$ depending upon only one scalar
parameter. Before the unknown change time $t_0$, the ...
5
votes
1answer
485 views
Assessing peaks in time series of cell signal data
I am measuring for the existence of response in cell signal measurements. What I did was first apply a smoothing algorithm (Hanning) to the time series of data, then detect peaks. What I get is this:
...
1
vote
2answers
950 views
How do I compare d-prime scores for 2 different conditions for the same individual?
How do I compare d-prime scores from 2 different conditions for the same individual, using the d-primes and standard errors?
7
votes
5answers
243 views
Detecting parts of a song
Hopefully this is not too subjective...
I'm looking for some direction in efforts to detect the different "parts" of a song, regardless of musical style. I have no idea where to look, but trusting ...
4
votes
2answers
336 views
Is there a way to determine the significance of a change in a d' score?
I have a series of scores in a signal detection task. For each block of scores (i.e. a set of scores from one participant on one day) I have calculated a d' score which I am using as an indicator of ...
12
votes
3answers
441 views
Is it valid to analyze signal detection data without employing metrics derived from signal detection theory?
A signal detection experiment typically presents the observer (or diagnostic system) with either a signal or a non-signal, and the observer is asked to report whether they think the presented item is ...
