Setup a periodogram in Mathematica

  • Context: Undergrad 
  • Thread starter Thread starter natski
  • Start date Start date
  • Tags Tags
    Mathematica
Click For Summary
SUMMARY

The discussion centers on setting up a periodogram in Mathematica using a dataset of irregularly spaced points in the form {x,y}. The user, Natski, initially attempted a discrete Fourier transform but encountered limitations with 2-dimensional lists. A solution involves referencing Gregory's book on Bayesian Logic, which provides insights into handling irregular sample spacing effectively.

PREREQUISITES
  • Familiarity with Mathematica 12.0 for data analysis
  • Understanding of discrete Fourier transforms
  • Knowledge of spectral density plots
  • Basic concepts of Bayesian statistics
NEXT STEPS
  • Explore Mathematica's built-in functions for periodograms
  • Read Gregory's book on Bayesian Logic for advanced techniques
  • Investigate methods for handling irregularly spaced data in time series analysis
  • Learn about spectral density estimation techniques in signal processing
USEFUL FOR

Data scientists, statisticians, and researchers working with time series data who need to analyze spectral properties using Mathematica.

natski
Messages
262
Reaction score
2
Hi all,

I want to setup a periodogram in Mathematica but not sure how to proceed. I have a list of data points of form {x,y} of length N. I tried doing a discrete Fourier transform on the list but the examples in Mathematica only work for 1-dimensional lists and not 2-d. Also this is a spectral density plot rather than a periodogram.

Is anyone aware of any *.nb files with a working example of a periodogram or could tell me how to proceed?

Thanks in advance,

Natski
 
Physics news on Phys.org
I should also have mentioned that the data points have irregular sample spacing.
 
I believe I have found the solution to this problem but it is non-trivial. I recommend reading Gregory's book on Bayesian Logic for the solution.

Natski
 

Similar threads

  • · Replies 3 ·
Replies
3
Views
4K
  • · Replies 6 ·
Replies
6
Views
3K
  • · Replies 6 ·
Replies
6
Views
2K
  • · Replies 2 ·
Replies
2
Views
2K
  • · Replies 2 ·
Replies
2
Views
5K
  • · Replies 6 ·
Replies
6
Views
5K
  • · Replies 4 ·
Replies
4
Views
1K
  • · Replies 8 ·
Replies
8
Views
5K
  • · Replies 2 ·
Replies
2
Views
9K
  • · Replies 1 ·
Replies
1
Views
2K