606
questions
3
votes
2
answers
82
views
Calculate threshold, so that 99% of random string have higher entropy
I am trying to calculate the distribution of the Shannon entropy for all possible random strings of length N.
(by random, I mean that each letter at each position is picked with equal probability)
To ...
- 13.7k
-1
votes
0
answers
31
views
Transfer Entropy in specific frequency band
I want to compute transfer entropy (TE) with the RTransferEntropy between 2 timeseries (EEG and EMG) in different frequencies band, such as 13-30 hz and 30-50 Hz, but this toolbox does not allow to ...
0
votes
1
answer
100
views
Why such a token is considered to have a weak entropy? [closed]
I am using the following code in my code to send a password reset token to a user.
$token = md5($user_id . time());
Why this is considered as a bad approach being cited as it has a weak entropy? The ...
- 1,763
0
votes
0
answers
31
views
Get contextual entropy of each word in a sentence
I am trying to get the contextual entropy of each word within sentences of a dataset.
I am following the definition of Contextual Entropy provided in this paper, so for each position within a sentence,...
- 1
3
votes
1
answer
47
views
Large matrices for the quantum Ising Model
I made a Python code that computes the density matrix of states for the Ising model with a transverse field and then calculates the von Neumann entropy for the system. The problem is that the density ...
0
votes
0
answers
19
views
Compute information entropy with PyTorch
Problem:
how can I compute the information entropy by utilizing the current model.
As I try to implement method proposed by this paper. But I have no clue how to make it work.
Assuming there is a ...
0
votes
0
answers
22
views
Creating a pseudorandom matrix with a specific determinant and specific entropy
I was sampling several markov matrices for a project, for that:
I want to create a random matrix, which
is markovian(simply it's rows sum to one) and all its elements are between 0 and 1
it has a ...
- 21
0
votes
0
answers
49
views
How do I code Gradient Descent over a discrete Probability Function in Pytorch?
I am trying to code a gradient descent algorithm to minimize the Shannon entropy of a convolution between a 1D array X and a smaller 1D array A, where the parameters to optimize for are the entries of ...
- 21
2
votes
0
answers
245
views
Deterministic CTR_DRBG in OpenSSL
I'm using the OpenSSL EVP API in C to call the CTR_DRBG implementation and I'm having some trouble getting the output to be deterministic.
Configuration and all input arguments are fixed (entropy, ...
0
votes
0
answers
29
views
rouble with mounting Python code to FUSE: No response and prolonged processing ---
I attempted to mount my Python code to FUSE using the command python3 entropyfs.py ~/root ~/mount_point. However, the command doesn't seem to be functioning as expected. Instead of mounting the ...
- 1
0
votes
0
answers
32
views
Shannon's entropy on FTIR data
I want to calculate shannon's entropy on a ftir data. I have used two approaches and i get two different entropy value.
the second code, where i have removed the backgroud using clustering and ...
1
vote
1
answer
179
views
Dissimilarity Index using Segregation Package
I am trying to calculate the dissimilarity index of several schools in a country using the segregation package. My dataset currently looks like this:
# A tibble: 948 × 4
ethnicity ...
- 57
0
votes
1
answer
47
views
Arithmetic encoding implementation outputting chars
I am looking at the arithmetic coding implementation on https://www.codeabbey.com/index/task_view/adaptive-arithmetic-coding
My understanding is that when you're using floating point precision, the ...
- 2,206
0
votes
0
answers
104
views
Python entropy calculation of trigrams
With this code in Python, I calculate the entropy value of a txt file based on trigrams, but something goes wrong, because the output value is 110.51908986855025 (which is way too high considering ...
- 29
0
votes
0
answers
35
views
JS divergence code is giving wrong answers
I am using the below code to compute the JS divergence between the two pdfs but I am getting some unexpected answers:
I took three datasets A,B and C in this A and B are similar datasets and C is ...
- 1