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- Claerbout, J. F., 1976, Fundamentals of Geophysical Data Processing:
McGraw-Hill.

- Claerbout, J. F., 1991, Earth Soundings Analysis:
Processing versus Inversion: Blackwell Scientific.

- Peacock, K. L. and Treitel, S., 1969, Predictive deconvolution:
Theory and practice: Geophysics,
**34**, 155-169.

- Webster, G. M., 1978, Deconvolution, Chapter III:
Geophysics reprint by SEG.

- Yilmaz, O., 1987, Seismic data processing: SEG monograph.

**Gm1Gm1d
**

Figure 1 On the left is the original data; on the right is the data after wavelet decon, on this section the wavelet is compressed and the noise is not enhanced much.

**Gm1.12fdf
**

Figure 2 On the left is the spectrum of the 12th trace of the original data; on the right is the spectrum after wavelet decon. The wavelet spectrum has been flattened but there are two mounds beyond half Nyquist frequency.

**Infilters
**

Figure 3 On the left is our inverse wavelet filter, it does not enhance noise significantly. On the right is the conventional Burg inverse wavelet filter, it enhances noise significantly.

**Inspectra
**

Figure 4 On the left is the spectrum of our inverse wavelet filter; on the right is the spectrum of Burg inverse wavelet.

**Lowpass
**

Figure 5 On the left is the lowpass filtered inverse wavelet filter; on the right is its spectrum. Convolving this inverse wavelet filter with the seismogram flattens the wavelet spectrum without enhancing noise.

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Stanford Exploration Project

11/18/1997