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Discrete-Time Signals

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Discrete-Time Signals Week 2 Continuous-Time Versus Discrete-Time Signals Continuous-time signal: a signal defined by a function of a continuous-time variable. – PowerPoint PPT presentation

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Title: Discrete-Time Signals


1
Discrete-Time Signals
  • Week 2

2
Continuous-Time Versus Discrete-Time Signals
  • Continuous-time signal a signal defined by a
    function of a continuous-time variable.
  • Discrete-time Signal a signal defined by
    specifying the value of the signal only at
    discrete times, called sampling instants.

3
Continuous-Time Versus Discrete-Time Signals
4
Distinction between Discrete-Time and Quantized
Signals
  • Quantized Signal A quantized signal is one whose
    values may assume only a countable number of
    values, or levels, but the changes from level to
    level may occur at any time.

5
Periodic and Aperiodic Signals
  • Periodic a signal x(t) is periodic if and only
    if
  • x(tT0)x(t), -?lttlt? (1)
  • where the constant T0 is the period.
  • Aperiodic Any deterministic signal not
    satisfying (1) is called aperiodic.

6
Periodic Signals
7
Aperiodic Signals
8
Some Elementary Discrete- Time Signals
  • Unit sample
  • Unit step

9
Some Elementary Discrete- Time Signals
  • Exponential sequence
  • Sinusoidal sequence

10
Some Elementary Discrete-Time Signals
(2) Unit step
(1) Unit sample
(3) Exponential sequence
(4) Sinusoidal sequence
11
Energy and Power Signals
  • Total energy
  • Average power
  • X(t) is an energy signal if and only if 0ltElt?, so
    that P0.
  • X(t) is an power signal if and only if 0ltPlt?,
    thus implying that E?.
  • Signals that satisfy neither property are
    therefore neither energy nor power signals.

12
Addition, Multiplication, and Scaling
  • Addition
  • Multiplication
  • Scaling

13
Convolution of Two Discrete- Time Signals
  • Convolution
  • Properties
  • 1. Commutative property
  • 2. Associative property
  • 3. Distributive property

14
Correlation of Two Discrete- Time Signals
  • Cross-correlation function
  • Autocorrelation function
  • p0 maximum
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