1997•JOURNAL OF THE JAPAN STATISTICAL SOCIETYOpen access

FREQUENCY ESTIMATE BASED ON WAVELET TRANSFORM AND FOURIER TRANSFORM

Mutsumi Takagiwa

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Abstract

In this paper, we will investigate the consistency of a frequency estimate of real-valued signal with varying amplitude. The wavelet based estimation procedure has already been investigated by Shibata and Takagiwa (1997) for the case of complex-valued signals. Whether the signal is complex-valued or real-valued does not seem to make any significant difference, but in fact it does. We will propose a new wavelet based estimation procedure which is different from the procedure previously proposed for complex-valued signals. The sampling scheme employed in this paper is that of a dense observation on a fixed time interval or on the neighborhood of a specified time point. We will demonstrate that our estimation procedure is consistent under the smoothness condition of the amplitude, but that the conventional Fourier based estimation procedure is rarely consistent.

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What this paper is about

In this paper, we will investigate the consistency of a frequency estimate of real-valued signal with varying amplitude. The wavelet based estimation procedure has already been investigated by Shibata and Takagiwa (1997) for the case of complex-valued signals. Whether the signal is complex-valued or real-valued does not seem to make any significant difference, but in fact it does. We will propose a new wavelet based estimation procedure which is different from the procedure previously proposed for complex-valued signals. The sampling scheme employed in this paper is that of a dense observation on a fixed time interval or on the neighborhood of a specified time point. We will demonstrate that our estimation procedure is consistent under the smoothness condition of the amplitude, but that the conventional Fourier based estimation procedure is rarely consistent.

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Available abstract

In this paper, we will investigate the consistency of a frequency estimate of real-valued signal with varying amplitude. The wavelet based estimation procedure has already been investigated by Shibata and Takagiwa (1997) for the case of complex-valued signals. Whether the signal is complex-valued or real-valued does not seem to make any significant difference, but in fact it does. We will propose a new wavelet based estimation procedure which is different from the procedure previously proposed for complex-valued signals. The sampling scheme employed in this paper is that of a dense observation on a fixed time interval or on the neighborhood of a specified time point. We will demonstrate that our estimation procedure is consistent under the smoothness condition of the amplitude, but that the conventional Fourier based estimation procedure is rarely consistent.

Key concepts: Wavelet, Algorithm, Smoothness, Fourier transform, Spectral density estimation, SIGNAL (programming language), Mathematics, Wavelet transform

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