Chapter 0
Introduction
Nguyen Thanh Tuan, Click
M.Eng.
to edit Master subtitle style
Dang Ngoc Hanh, M.Eng.
Department of Telecommunications (113B3)
Ho Chi Minh City University of Technology hanhdn@hcmut.edu.vn
Email: nttbk97@yahoo.com
1. Signals, Systems and Signal Processing
Digital Signal Processing 2 Introduction
1. Signals, Systems and Signal Processing
A signal is defined as any physical quantity that varies with time,
space, or any other independent variable or variables.
• Signals vary with time
Ex: speech signal
No functional relationship to describe the signal
Digital Signal Processing 3 Introduction
1. Signals, Systems and Signal Processing
A signal is defined as any physical quantity that varies with time,
space, or any other independent variable or variables.
• Signals vary with space
Ex: electromagnetic field within a room
The function describing the signal is complicated.
Digital Signal Processing 4 Introduction
1. Signals, Systems and Signal Processing
A signal is defined as any physical quantity that varies with time,
space, or any other independent variable or variables.
• Signals vary with dimensions
Ex: the RGB value of an image
The function describing the signal is complicated.
Digital Signal Processing 5 Introduction
1. Signals, Systems and Signal Processing
System: is to change/extract information from the input signal
Analog signal system
Analog Analog signal Analog
input processor output
signal signal
Digital signal system
Analog Analog
A/D Digital Digital signal Digital D/A
input output
converter input processor output converter
signal signal
signal signal
Digital Signal Processing 6 Introduction
2. Advantages/Disadvantages of DSP
Signal processing:
Advantages of digital signal processing over analog signal processing
-Flexibility: the reconfiguration of digital programmable system may only
require the change of the program while it implies a redesign of the
hardware in analog systems.
-Accuracy: it is easier to control the accuracy of digital system as
compared to analog systems.
-Storage: digital signals are easily stored without deterioration or loss of
signal fidelity.
-Cost: a digital implementation of the signal processing system is cheaper
than its analog counterpart.
Disadvantages of digital signal processing
-Limited use in large bandwidth signals.
Digital Signal Processing 7 Introduction
2. Advantages/Disadvantages of DSP
Some applications:
Digital Signal Processing 8 Introduction
2. Advantages/Disadvantages of DSP
Some applications:
Digital Signal Processing 9 Introduction
3. Signal classification
Multichannel and multidimensional signals
A signal is called M-dimensional if its value is a function of M independent
variables.
Ex: the color TV picture is a three-channel, three-dimensional signal.
Digital Signal Processing 10 Introduction
3. Signal classification
a. Continuous-Time versus Discrete-Time signals
Continuous-time signal or analog signals are defined for every value of time and
they take on values in the continuous interval.
Discrete-time signal are defined only at certain specific values of time. These time
instants need not be equidistant, but in practice they are usually taken at equally
spaced intervals.
Digital Signal Processing 11 Introduction
3. Signal classification
b. Continuous-valued versus discrete-valued signals
The values of a continuous-time or discrete-time signal can be continuous or
discrete.
Continuous-valued signals: all possible values on a finite or infinite range.
Discrete-valued signals: values from a finite set of possible values.
Digital Signal Processing 12 Introduction
Outline
Chapter 0: Introduction w1
Chapter 1: Sampling and signal reconstruction w2-3
Chapter 2: Quantization w4
Chapter 3: Discrete-time systems w5-6
Chapter 4: z-transform and analysis of linear systems w7-8
Chapter 5: DFT/FFT algorithms w9-11
Chapter 6: Digital filter realisation w12-13
Chapter 7: FIR/IIR digital filter design w14-15
References:
[1] J. G. Proakis and D. K. Manolakis, Digital Signal Processing, Prentice Hall, 4th ed., 2006.
[2] S. J. Orfanidis, Introduction to Signal Processing, Prentice Hall, 2010
Digital Signal Processing 13 Introduction
Assessment
Homework: 20% (also Midterm test, Exercises in class)
Laboratory: 20%
Final exam: 60%
Contact: Department of Telecommunications – 113 Block B3
hanhdn@hcmut.edu.vn
Digital Signal Processing 14 Introduction
