ABSTRACT
This chapter covers the minimum ground for understanding the wavelet analysis. The concept of wavelet originates from the study of signal analysis. In analyzing time-varying signals, Fourier transformation is known to be an efficient tool, because it enables to extract oscillation components of the signal in the time domain as well as to evaluate the power spectrum in the frequency domain. In certain cases, however, it is desirable to analyze the data from simultaneous viewpoints of both time and frequency domains. It is the wavelet analysis that accommodates this demand.
