Seismic Data Processing with MATLAB

This MATLAB code provides comprehensive tools for advanced seismic data processing and visualization. The implementation includes algorithms for data preprocessing, such as noise filtering using bandpass filters and signal normalization techniques to enhance data readability and practical utility. You can generate multiple plot types including time-series waveforms, spectrograms using FFT algorithms, and 3D visualizations to effectively display seismic trends and patterns. The codebase also contains analytical functions for examining seismic characteristics - frequency analysis through power spectral density calculations, magnitude estimation algorithms, and depth profiling methods. By utilizing these computational approaches, researchers can gain deeper insights into seismic phenomena through quantitative analysis of signal properties, waveform characteristics, and spatiotemporal patterns, facilitating better understanding of earthquake mechanisms and seismic behavior.