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Dear list members,
Many of us make use of digital filters do remove unwanted frequencies from biological signals. From my experience, students without a strong signal processing background sometimes struggle with grasping the theoretical principles that underlie the design of digital filters.
I recently came across an article that explains some of these principles in a very tutorial and student-friendly way. This article is published on the Sport Sciences website (http://www.sportsci.org/2009/sjejcm.htm). It includes a link to a spreadsheet that allows for a practical application of the principles discussed.
For me, this article has been proven to be a useful teaching tool, and I believe that many of us can benefit from it.
Best Regards,
Tom
--
Thomas Korff, PhD
Senior Tutor and Senior Lecturer in Biomechanics
Centre for Sports Medicine and Human Performance
Brunel University
Uxbridge UB8 3PH
United Kingdom
Tel +44 1895 266 477 (internal 66 477)
Fax +44 1895 269 769
Email thomas.korff@brunel.ac.uk
Many of us make use of digital filters do remove unwanted frequencies from biological signals. From my experience, students without a strong signal processing background sometimes struggle with grasping the theoretical principles that underlie the design of digital filters.
I recently came across an article that explains some of these principles in a very tutorial and student-friendly way. This article is published on the Sport Sciences website (http://www.sportsci.org/2009/sjejcm.htm). It includes a link to a spreadsheet that allows for a practical application of the principles discussed.
For me, this article has been proven to be a useful teaching tool, and I believe that many of us can benefit from it.
Best Regards,
Tom
--
Thomas Korff, PhD
Senior Tutor and Senior Lecturer in Biomechanics
Centre for Sports Medicine and Human Performance
Brunel University
Uxbridge UB8 3PH
United Kingdom
Tel +44 1895 266 477 (internal 66 477)
Fax +44 1895 269 769
Email thomas.korff@brunel.ac.uk