This Topic seeks to expand our understanding of Fourier Series. First,
through an example, the Topic considers the general form or structure of
the trigonometric Fourier series, and what is a valid Fourier Series
and what isn't. Second, the Topic considers the notion of signal
approximation through the truncated Fourier Series, where only a finite
number of harmonics are used rather than an infinite number. To quantify
the goodness-of-fit of the approximation, the power of the error signal
is considered as a function of the number of harmonics, where it is
seen this power drops monotonically. The Topic introduces the idea of an
acceptable level of error, and discusses the application of this in
Image Compression and other signal compression algorithms.
ELEE08021 Sensor Networks and Data Analysis 2 Lectures -- School of Engineering, University of Edinburgh. Copyright James R. Hopgood and University of Edinburgh, Scotland, United Kingdom (UK). 2021.
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