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• Course Topics
  Fast review of LTI systems, DTFT, sampling
  Multirate signal processing, Bilateral Z Transform
  Discrete Fourier Transform, Fast Fourier Transform
  Quantization, finite word length effects
  FIR and IIR filter design techniques
  Filter banks, Wavelets
  Multidimensional signal processing: Z transform, filter design, reconstruction from phase, magnitude, DFT
  Applications: speech and video processing
  　
  Textbooks
  A. V. Oppenheim and R. W. Schafer, Discrete Time Signal Processing, Second Edition, Prentice Hall, 1999
  　
  Course Schedule
  Lecture 1: What is DSP? Intro to LTI systems
  Lecture 2: The DTFT
  Lecture 3: Basics of Sampling
  Lecture 4: The Z-Transform
  Lecture 5: Upsampling and Interpolation
  Lecture 6: LTI
  Lecture 7: Different Realization of LCC DE
  Lecture 8: Flowgraphs/Realizations of IIR Filters
  Lecture 9: Transposition Theorem
  Lecture 10: Linear Phase Filtering
  Lecture 11: Generalized Linear Phase Filter
  Lecture 12: Filter Design
  Lecture 13: FIR Filter Design Using Windows
  Lecture 14: Optimal FIR Filter Design
  Lecture 15: Optimal FIR Filter Design, continued
  Lecture 16: Optimal FIR Filter Design, continued
  Lecture 17: IIR Filter Design
  Lecture 18: Bilinear Transformation
  Lecture 19: IIR Filter Design Transformation
  Lecture 20: Discrete Fourier Series
  Lecture 21: DFT = Discrete Fourier Transform
  Lecture 22: How to Use DFT to do Convolution
  Lecture 23: Using DFT for Filtering Infinitely Long Sequences
  Lecture 24: DCT and Its Relation to DFT
  Lecture 25: Fast Fourier Transform
  Lecture 26: Fouric Analysis of Signals using DFT