https://github.com/jkjaer/adaptivefilteringlecturenotes

Lectures notes for the basics of adaptive filtering
https://github.com/jkjaer/adaptivefilteringlecturenotes

adaptive-filtering adaptive-filters lms nlms recursive-least-squares

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Lectures notes for the basics of adaptive filtering

• Host: GitHub
• URL: https://github.com/jkjaer/adaptivefilteringlecturenotes
• Owner: jkjaer
• License: bsd-3-clause
• Created: 2019-07-04T08:10:29.000Z (almost 6 years ago)
• Default Branch: master
• Last Pushed: 2019-07-05T08:13:45.000Z (almost 6 years ago)
• Last Synced: 2025-02-15T23:43:31.251Z (4 months ago)
• Topics: adaptive-filtering, adaptive-filters, lms, nlms, recursive-least-squares
• Language: TeX
• Homepage:
• Size: 1.34 MB
• Stars: 4
• Watchers: 2
• Forks: 1
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# adaptiveFilteringLectureNotes

The present lecture notes were written for the annual course on adaptive filters at Aalborg University. The content of the course is now a part of the annual course called *Array and Sensor Signal Processing*. The notes are written for the lecturer, but they may also be useful to the student as a supplement to his/her favourite textbook. Consequently, the notes are very concise and contain only what we believe to be the basics of adaptive filtering. Moreover, we have also made some important simplifications.

- We use real-valued numbers and not complex-valued numbers. Although the latter is more general, it is less confusing and leads to fewer errors when real-valued numbers are used.

- We only consider FIR adaptive filters.

- The signals have zero mean. This is a standard assumption used in most textbooks.

Each of the lectures contains an amount of material suited for a lecture lasting for approximately 90 minutes. The appendices contain a summary and some supplementary material.

These lecture notes are always work in progress. Therefore, if you have found an error, have a suggestion for a better statement and/or explanation, or just want to give us some feedback, then do not hesitate to contact us.

[![DOI](https://zenodo.org/badge/195197987.svg)](https://zenodo.org/badge/latestdoi/195197987)