Geophysical Seismic Wavelets and Synthetic Seismogram Simulation
Original source code for geophysical seismic wavelets and synthetic seismogram modeling.
Explore MATLAB source code curated for "地震子波" with clean implementations, documentation, and examples.
Original source code for geophysical seismic wavelets and synthetic seismogram modeling.
MATLAB-based seismic wavelet extraction techniques for digital seismic data processing, featuring simulated annealing-based higher-order cumulant approaches with algorithm implementation details
This program implements a blind deconvolution algorithm utilizing optimal Wiener filtering. Wiener filtering transforms seismic wavelets into any desired waveform shape. Similar to inverse filtering, a Wiener filter can be designed to convert seismic wavelets into spike pulses. However, Wiener filtering differs from inverse filtering by achieving optimality in the least-squares sense. The algorithm implements the well-known Wiener-Levinson approach for filter design. The program provides five target output options: zero-delay spike pulse, arbitrary-delay spike pulse, time-advanced input sequence, zero-phase wavelet, and custom desired waveform.