DocumentCode
2212602
Title
No minimum rate multisampling of a Fourier series
Author
Grotenhuis, Michael G.
Author_Institution
Div. of Emerson Process Manage., Rosemount, Inc., Chanhassen, MN, USA
fYear
2006
fDate
4-8 Sept. 2006
Firstpage
1
Lastpage
3
Abstract
I examine the possibility of sampling a Fourier series with multiple, uniform rates that are not required to be larger than any particular frequency. This is allowed because convolution of a Fourier series with a train of delta functions in the Fourier domain causes overlap in the Fourier domain only in isolated cases. Furthermore, I can restrict this overlap to not occur in more than one sampled transform. I use three different sampling rates, not required to be greater than any particular frequency, yet satisfying certain irrational relationships, which I specify. The three separate Fourier domains from each rate are compared, and a filter is used which outputs only those terms which are common to all three. In some cases, it might be necessary to introduce a fourth sampling rate. The result is that the original Fourier series is obtained from the filter and inverse transform.
Keywords
Fourier series; inverse transforms; signal sampling; Fourier series convolution; delta functions; inverse transform; minimum rate multisampling; Abstracts; Fourier series; Transforms;
fLanguage
English
Publisher
ieee
Conference_Titel
Signal Processing Conference, 2006 14th European
Conference_Location
Florence
ISSN
2219-5491
Type
conf
Filename
7071094
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