Log In

Come Join Us!

Are you an
Engineering professional?
Join Eng-Tips Forums!
  • Talk With Other Members
  • Be Notified Of Responses
    To Your Posts
  • Keyword Search
  • One-Click Access To Your
    Favorite Forums
  • Automated Signatures
    On Your Posts
  • Best Of All, It's Free!
  • Students Click Here

*Eng-Tips's functionality depends on members receiving e-mail. By joining you are opting in to receive e-mail.

Posting Guidelines

Promoting, selling, recruiting, coursework and thesis posting is forbidden.

Students Click Here



I think there are multiple errors in the paper "a poly reference implementation of the maximum likelihood complex frequency domain estimator and some industrial applicatinos.pdf"

I have programmed up the LSCF, MLFD, and p-LSCF methods and am having trouble with the final piece p-MLFD. The dimensions of the matrices in the early part of the paper don't seem to be right and I think the definition of the X and Y matrices are swapped. The definitions of the R, S, T, V, & W matrices are mostly correct. I could be messing up the un-vec operator of delta vec(D) or delta vec(No). I believe the un-vec of a column array should be a 2 row or column matrix with one row/column being every other value in the vec array.

Has anyone tried to code this up?



I've written all of these in Python. The exact implementation of the un-vec is:

alpha[:,0:1] = alpha[:,0:1] + delta_a[::2]
alpha[:,1:2] = alpha[:,1:2] + delta_a[1::2]

the colon's inside the array dimensions are start:stop:step. The delta_a array is the vec'd array, so the length is twice as long as the first dimension of alpha.

Red Flag This Post

Please let us know here why this post is inappropriate. Reasons such as off-topic, duplicates, flames, illegal, vulgar, or students posting their homework.

Red Flag Submitted

Thank you for helping keep Eng-Tips Forums free from inappropriate posts.
The Eng-Tips staff will check this out and take appropriate action.

Reply To This Thread

Posting in the Eng-Tips forums is a member-only feature.

Click Here to join Eng-Tips and talk with other members! Already a Member? Login


eBook - Simulation-Driven Design with SOLIDWORKS
Simulation-driven design can reduce the time and cost of product development. In this engineering.com eBook, we’ll explore how SOLIDWORKS users can access simulation-driven design through the SOLIDWORKS Simulation suite of analysis tools. Download Now
eBook - Integrating the Engineering Ecosystem
Aras Innovator provides multiple options for integrating data between systems, depending on the scenario. Utilizing the right approach to meet specific business requirements is vital. These needs range from authoring tools, federating data from various and dissimilar databases, and triggering processes and workflows. Download Now
Research Report - Simulation-Driven Design for SOLIDWORKS Users
In this engineering.com research report, we discuss the rising role of simulation and the paradigm shift commonly called the democratization of simulation. In particular, we focus on how SOLIDWORKS users can take advantage of simulation-driven design through two analysis tools: SOLIDWORKS Simulation and 3DEXPERIENCE WORKS. Download Now

Close Box

Join Eng-Tips® Today!

Join your peers on the Internet's largest technical engineering professional community.
It's easy to join and it's free.

Here's Why Members Love Eng-Tips Forums:

Register now while it's still free!

Already a member? Close this window and log in.

Join Us             Close