| Bahan Kajian | - Konsep pemodelan sistem fisis Bumi
- Pemodelan kedepan medan grafitasi, medan magnet, medan E.M., travel time seismik
- Dasar inversi, regulasi inversi, inversi dengan Conjugate Gradient, Inversi dengan Steepest Descent
- Inversi Kuadrat Terkecil, Inversi Kuadrat Terkecil Teredam
- Vectors and matrices, Arrays, Cells and structures, Matrix operations
- Konsep signal dan system, Discrete Time Signals dan Sampling, Teorema sampling, Spectral representation, Random Signals, Random phenomena in signal processing
- Fast Fourier Transform, Spectral accuracy dan resolution
- Short Term Fourier Transform, contoh aplikasi, misalnya penghilangan noise di sinyal suara
- The z-transform, Transforms and linear filtering, Difference equations and rational TF filters
- Connection between gain and poles/zeros, Minimum phase filters, Filter design methods
- Correlation, Convolution, Deconvolution, Wiener Filter
- Demultiple filtering and Surface Related Multiple Attenuation in Marine Seismic Data
- Wavelet Transform, teori, operasi dan tipenya (Mexican Hat, Ricker Wavelet, dsb). STFT vs Wavelet transform
- F-K filter, Kalman Filter
- 2-D FFT and IFFT untuk penghilangan noise dan difraksi
- 2-D Wavelet Transform
- Geometric transformations dari citra, dan operasi citra lainnya. JPEG lossy compression, Watermarking, Blurring or Smoothing, Sharpening or Enhancing edges and details, Convolution: Applying filters (e.g., Gaussian, Sobel) to modify pixel values, Halftoning
| - Earth's physical system modeling concept
- Future modeling of gravity fields, magnetic fields, E.M. fields, seismic travel time
- Inversion basis, inversion regulation, inversion with Conjugate Gradient, Inversion with Steepest Descent
- Least Squares Inversion, Damped Least Squares Inversion
- Vectors and matrices, Arrays, Cells and structures, Matrix operations
- Signal and system concepts, Discrete Time Signals and Sampling, Sampling theorem, Spectral representation, Random Signals, Random phenomena in signal processing
- Fast Fourier Transform, Spectral accuracy and resolution
- Short Term Fourier Transform, application examples, for example noise removal in sound signals
- The z-transform, Transforms and linear filtering, Difference equations and rational TF filters
- Connection between gain and polish/zero, Minimum phase filters, Filter design methods
- Correlation, Convolution, Deconvolution, Wiener Filter
- Demultiple filtering and Surface Related Multiple Attenuation in Marine Seismic Data
- Wavelet Transform, theory, operation and types (Mexican Hat, Ricker Wavelet, etc.). STFT vs Wavelet transform
- F-K filter, Kalman Filter
- 2-D FFT and IFFT for noise and diffraction removal
- 2-D Wavelet Transform
- Geometric transformations of images, and other image operations. JPEG lossy compression, Watermarking, Blurring or Smoothing, Sharpening or Enhancing edges and details, Convolution: Applying filters (e.g., Gaussian, Sobel) to modify pixel values, Halftoning
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