• Digital Signal Processing
Instructor

Long-Wen Chang
lchang@cs.nthu.edu.tw
(O) 573-1076
EECS Room 538

Course Outlines
 
Handouts
   Chapter 1
 

 
Course Syllabus for Digital Signal  Processing
Fall, 1998
Course description
Course Outlines
 
 
Chapter 1: Discrete Time Signals
Introduction to digital signal processing
Definitions and illustrations of various  discrete time signal
Energy of a discrete time signal
Bounded and unbounded  discrete time signals
Absolute summable  property  and square summable property

Chapter 2: Discrete Time Systems
Introduction to discrete time system
Linear time invariant discrete time  system
Impulse response of a LTI discrete time system
Causality and stability
Linear convolution and circular convolution
Chapter 3: Z Transform
The z transform
The inverse z transform
Linear convolution with the z transform
Chapter 4: Linear Time Invariant Discrete Time Filters
Introduction of discrete time filters
IIR and  FIR filters
Low pass, high pass,  band pass  and bandstop filters
Various window functions

Chapter 5: Discrete Time Fourier Transform
The discrete time Fourier transform (DTFT)
The inverse discrete time Fourier transform (DTFT)
The sampling theorem and the ideal interpolation
Relationship between DTFT and CTFT(continuous time Fourier transform)
 

Chapter 6: Discrete Fourier Transform
Discrete Fourier transform (DFT)
Relationship between the DTFT  and DFT
Overlap-and-add method
Overlap-and-save method
Fast Fourier transform (FFT)
Fourier Spectrum analysis with DFT

Chapter 7: Discrete Time Filter Design
Introduction of digital filter design
Impulse invariance transformation
Bilinear transformation
Windowing method
Frequency interpolation method
Least square method,
Park-McClellan method

Chapter 8: The implementation of Digital Filters
Introduction of digital filter implementation
VLSI implementation of second order digital filter networks
VLSI implementation of lattice  networks