# Tagged Questions

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46 views

### Decorrelating two image maps

I am stuck on a research problem and do not know what kind of methods to use. I hope people in this forum can give me some good ideas, I've always had good brainstorming sessions here. My problem is ...
20 views

### Hypothesis testing of normal distributions when mean and range on variance is known

Hypothesis testing problem: $H_0: y \sim N(m_1,v_1)$ $H_1: y \sim N(m_2,v_2)$ . The means $m_1, m_2$ are known and variances $v_1, v_2$ are unknown but upper and lower bounds on $v_1, v_2$ are ...
80 views

### Detecting and extracting end points of signal in larger signal

I have the following time series current measurement recordings at 5,000 samples per seconds for 10 minutes: https://docs.google.com/file/d/0ByIzsQrgb6ILakdaVVJkcEFUUGc/edit?usp=sharing I am trying ...
211 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) ...
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### 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 ...
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### 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 ...
201 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 ...
118 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 ...
76 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 ...
293 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, ...
307 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 ...
145 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 ...
605 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: ...
1k 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?
266 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 ...