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SIGNAL AND SYSTEM
LECTURES SUMMARY
General Introduction
 What are they?
 Signal
 System
Fundamentals of Signals and Systems
 Signal: a function of one or more variables that convey
information on the nature of a physical phenomenon.
Examples: v(t),i(t),x(t),heartbeat, blood pressure,
temperature, vibration.
 One-dimensional signals: function depends on a single
variable, e.g., speech signal
 Multi-dimensional signals: function depends on two or
more variables, e.g., image
Fundamentals of Signals and Systems
 System: an entity or operator that manipulates
one or more signals to accomplish a function,
thereby yielding new signals.
 Commonly encountered systems:
communications systems
Automatic speaker recoginition system
Aircraft landing system
.
Input signal Output signal
System
 1. CT and DT signals:
Classification of signals
Classification of signals (cont.)
 For many cases, x[n] is obtained by sampling
x(t) as:
 x[n] = x(nT) , n =0,+1,+2,
 Are there any requirements for the sampling?
Classification of signals (cont.)
 2. Even and odd signals:
Even:
x(t) = x(t)
x[n] = x[n]
Odd:
x(t) = x(t)
x[n] = x[n]
 Any signal x(t) can be expressed as
x(t) = xe(t) + xo(t) )
x(t) = xe(t)  xo(t)
where
xe(t) = 1/2(x(t) + x(t))
xo(t) = 1/2(x(t)  x(t))
Classification of signals (cont.)
 3. Periodic and non-periodic signals:
 CT signal: if x(t) = x(t + T), then x(t) is periodic.
 Smallest T=Fundamental period: To
 Fundamental frequency fo = 1/To (Hz or cycles/second)
 Angular frequency: o = 2 /To (rad/seconds)
 DT signal: if x[n] = x[n + N], then x[n] is periodic.
 min(No): fundamental period
 Fo = 1/No (cycles/sample)
 =2 /N (rads/sample). If the unit of n is designated as
dimensionless,
 then is simply in radians.
 Note: A sampled CT periodic signal may not be DT periodic.
Any Condition addition of two periodic CT signals, resultant
must be periodic signal ?
Classification of signals (cont.)
 4. Deterministic and random signals.
 Deterministic signal: No uncertainty with respect
to its value at any time
 Completely specified at any time
 Random signal: Uncertain before it occurs. E.g.,
thermal noise.
Classification of signals (cont.)
 Energy and power signals:
 CT signal x(t):
 Energy: E =
 Power: P =
2
( )
x t dt



2
1
( )
2
lim
T
T T
x t dt
T
Classification of signals (cont.)
 DT signal x[n]:
 Energy: E =
 Power:
 Energy signal: if 0 < E <
 Power signal: if 0 < P <
 
2
x n



 
2
1
2 1
lim
N
N n N
x n
N
 緒
Classification of signals (cont.)
 Analog Signal and Digital Signal
Basic operations on signals
Basic Operations on Signal
 Rule for time shifting and time scaling:
 See figure below. Find y(t) = x(2t + 3).
Basic Operations on Signal(cont.)
Elementary signals
1. Exponential
2-Sinusoidal
Elementary signals(cont.)
3. Step function
5.Unit ramp function
Elementary signals(cont.)
4.Unit impulse function
System Properties
2.Memory /Memoryless
 Memory system: present output value depend on
future/past input.
 Memoryless system: present output value
depend only on present input.
 Example
System Properties(cont.)
System Properties(cont.)
System Properties(cont.)
 Invertibility
x(t)
x(t)
y(t)
H
1

H
System Properties(cont.)
 Series(cascade) Interconnection
 Parallel, Interconnection
Interconnection of systems
System 1 System 2
System 1
System 2
+
Input Output
Input
Output
Interconnection of systems
Feedback Interconnection
System
1
System
2
Input Output

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LECTURES summary .ppt

  • 2. General Introduction What are they? Signal System
  • 3. Fundamentals of Signals and Systems Signal: a function of one or more variables that convey information on the nature of a physical phenomenon. Examples: v(t),i(t),x(t),heartbeat, blood pressure, temperature, vibration. One-dimensional signals: function depends on a single variable, e.g., speech signal Multi-dimensional signals: function depends on two or more variables, e.g., image
  • 4. Fundamentals of Signals and Systems System: an entity or operator that manipulates one or more signals to accomplish a function, thereby yielding new signals. Commonly encountered systems: communications systems Automatic speaker recoginition system Aircraft landing system . Input signal Output signal System
  • 5. 1. CT and DT signals: Classification of signals
  • 6. Classification of signals (cont.) For many cases, x[n] is obtained by sampling x(t) as: x[n] = x(nT) , n =0,+1,+2, Are there any requirements for the sampling?
  • 7. Classification of signals (cont.) 2. Even and odd signals: Even: x(t) = x(t) x[n] = x[n] Odd: x(t) = x(t) x[n] = x[n] Any signal x(t) can be expressed as x(t) = xe(t) + xo(t) ) x(t) = xe(t) xo(t) where xe(t) = 1/2(x(t) + x(t)) xo(t) = 1/2(x(t) x(t))
  • 8. Classification of signals (cont.) 3. Periodic and non-periodic signals: CT signal: if x(t) = x(t + T), then x(t) is periodic. Smallest T=Fundamental period: To Fundamental frequency fo = 1/To (Hz or cycles/second) Angular frequency: o = 2 /To (rad/seconds) DT signal: if x[n] = x[n + N], then x[n] is periodic. min(No): fundamental period Fo = 1/No (cycles/sample) =2 /N (rads/sample). If the unit of n is designated as dimensionless, then is simply in radians. Note: A sampled CT periodic signal may not be DT periodic. Any Condition addition of two periodic CT signals, resultant must be periodic signal ?
  • 9. Classification of signals (cont.) 4. Deterministic and random signals. Deterministic signal: No uncertainty with respect to its value at any time Completely specified at any time Random signal: Uncertain before it occurs. E.g., thermal noise.
  • 10. Classification of signals (cont.) Energy and power signals: CT signal x(t): Energy: E = Power: P = 2 ( ) x t dt 2 1 ( ) 2 lim T T T x t dt T
  • 11. Classification of signals (cont.) DT signal x[n]: Energy: E = Power: Energy signal: if 0 < E < Power signal: if 0 < P < 2 x n 2 1 2 1 lim N N n N x n N 緒
  • 12. Classification of signals (cont.) Analog Signal and Digital Signal
  • 13. Basic operations on signals Basic Operations on Signal
  • 14. Rule for time shifting and time scaling: See figure below. Find y(t) = x(2t + 3). Basic Operations on Signal(cont.)
  • 17. 5.Unit ramp function Elementary signals(cont.) 4.Unit impulse function
  • 19. 2.Memory /Memoryless Memory system: present output value depend on future/past input. Memoryless system: present output value depend only on present input. Example System Properties(cont.)
  • 23. Series(cascade) Interconnection Parallel, Interconnection Interconnection of systems System 1 System 2 System 1 System 2 + Input Output Input Output
  • 24. Interconnection of systems Feedback Interconnection System 1 System 2 Input Output