Kode Mata KuliahFI4161 / 2 SKS
Penyelenggara102 - Physics / FMIPA
KategoriLecture
Bahasa IndonesiaEnglish
Nama Mata KuliahInversi, Pemrosesan Sinyal dan CitraInversion, Signal Processing, and Image
Bahan Kajian
  1. Konsep pemodelan sistem fisis Bumi
  2. Pemodelan kedepan medan grafitasi, medan magnet, medan E.M., travel time seismik
  3. Dasar inversi, regulasi inversi, inversi dengan Conjugate Gradient, Inversi dengan Steepest Descent
  4. Inversi Kuadrat Terkecil, Inversi Kuadrat Terkecil Teredam
  5. Vectors and matrices, Arrays, Cells and structures, Matrix operations
  6. Konsep signal dan system, Discrete Time Signals dan Sampling, Teorema sampling, Spectral representation, Random Signals, Random phenomena in signal processing
  7. Fast Fourier Transform, Spectral accuracy dan resolution
  8. Short Term Fourier Transform, contoh aplikasi, misalnya penghilangan noise di sinyal suara
  9. The z-transform, Transforms and linear filtering, Difference equations and rational TF filters
  10. Connection between gain and poles/zeros, Minimum phase filters, Filter design methods
  11. Correlation, Convolution, Deconvolution, Wiener Filter
  12. Demultiple filtering and Surface Related Multiple Attenuation in Marine Seismic Data
  13. Wavelet Transform, teori, operasi dan tipenya (Mexican Hat, Ricker Wavelet, dsb). STFT vs Wavelet transform
  14. F-K filter, Kalman Filter
  15. 2-D FFT and IFFT untuk penghilangan noise dan difraksi
  16. 2-D Wavelet Transform
  17. 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
  1. Earth's physical system modeling concept
  2. Future modeling of gravity fields, magnetic fields, E.M. fields, seismic travel time
  3. Inversion basis, inversion regulation, inversion with Conjugate Gradient, Inversion with Steepest Descent
  4. Least Squares Inversion, Damped Least Squares Inversion
  5. Vectors and matrices, Arrays, Cells and structures, Matrix operations
  6. Signal and system concepts, Discrete Time Signals and Sampling, Sampling theorem, Spectral representation, Random Signals, Random phenomena in signal processing
  7. Fast Fourier Transform, Spectral accuracy and resolution
  8. Short Term Fourier Transform, application examples, for example noise removal in sound signals
  9. The z-transform, Transforms and linear filtering, Difference equations and rational TF filters
  10. Connection between gain and polish/zero, Minimum phase filters, Filter design methods
  11. Correlation, Convolution, Deconvolution, Wiener Filter
  12. Demultiple filtering and Surface Related Multiple Attenuation in Marine Seismic Data
  13. Wavelet Transform, theory, operation and types (Mexican Hat, Ricker Wavelet, etc.). STFT vs Wavelet transform
  14. F-K filter, Kalman Filter
  15. 2-D FFT and IFFT for noise and diffraction removal
  16. 2-D Wavelet Transform
  17. 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
Capaian Pembelajaran Mata Kuliah (CPMK)
  1. Mampu menggunakan teknik inversi untuk berbagai aplikasi
  1. Able to use inversion techniques for various applications
Metode PembelajaranCeramah, diskusi kelompokLectures, group discussions
Modalitas PembelajaranLuring sinkron, bauran/daring asinkronSynchronous offline, asynchronous mixed/online
Jenis NilaiABCDE
Metode PenilaianUjian Tengah Semester, Ujian Akhir Semester, Tugas, dan KuisMidterm Exam, Final Exam, Assignments, and Quizzes
Catatan TambahanMKPB