Multiharmonic least-squares fitting algorithms
have been applied in many fields of instrumentation and
measurement. However, as the number of harmonics
increases, the size of the matrices needed to describe the
relation between the sampled signal and the multiharmonic
model increases substantially. In this paper an efficient
memory-wise implementation of the algorithm is proposed,
and numerical simulations are used to assess its
performance. Measurement results are also presented.
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CEM - Centro de Engenharia Mecatrónica /
CEM - Comunicações - Em Congressos Científicos Internacionais /
