TY - JFULL
AU - Liming Zhang
PY - 2012/9/
TI - Adaptive Fourier Decomposition Based Signal Instantaneous Frequency Computation Approach
T2 - International Journal of Mathematical and Computational Sciences
SP - 1116
EP - 1122
VL - 6
SN - 1307-6892
UR - https://publications.waset.org/pdf/2536
PU - World Academy of Science, Engineering and Technology
NX - Open Science Index 68, 2012
N2 - There have been different approaches to compute the
analytic instantaneous frequency with a variety of background reasoning
and applicability in practice, as well as restrictions. This paper presents an adaptive Fourier decomposition and (α-counting) based
instantaneous frequency computation approach. The adaptive Fourier
decomposition is a recently proposed new signal decomposition
approach. The instantaneous frequency can be computed through the so called mono-components decomposed by it. Due to the fast energy
convergency, the highest frequency of the signal will be discarded by the adaptive Fourier decomposition, which represents the noise of
the signal in most of the situation. A new instantaneous frequency
definition for a large class of so-called simple waves is also proposed
in this paper. Simple wave contains a wide range of signals for which
the concept instantaneous frequency has a perfect physical sense.
The α-counting instantaneous frequency can be used to compute the highest frequency for a signal. Combination of these two approaches one can obtain the IFs of the whole signal. An experiment is demonstrated the computation procedure with promising results.
ER -