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Lecture 20: Signal Measures

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Signal measures based on p-norm. p=1 : Maximum value ... rectified sine. Half-wave. rectified sine. Triangle wave. Square wave. Power of random signals ... – PowerPoint PPT presentation

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Title: Lecture 20: Signal Measures


1
Lecture 20Signal Measures
  • Svetoslav NikolovØrstedDTU, Building 349

2
Signal measures based on p-norm
  • p1 Maximum value
  • p2 used in the calculation of power and energy
  • p1 mean value. Easy-to-build devices

3
Power estimation
Sinusoidal signal
4
Power estimation
Sinusoidal signal
Amplitude spectrum for x2(t)
w
2
X(m)
Frequency Hz
5
Power estimation
Periodic signal
6
Power estimation
Periodic signal
7
Power estimation unknown period
Sinusoidal signal
8
Power estimation unknown period
Sinusoidal signal
Maaldemo increase T1
9
Error in RMS measurement as a function of T1
10
Signal measures of some periodic waves
Sine wave
Full-wave rectified sine
Half-wave rectified sine
Triangle wave
Square wave
11
Power of random signals
Need to characterize the variation in p(t)
12
Example
x(t) band-limited signal, white
filter
13
Relative precision
  • Relative precision
  • Band-limited white noise
  • Gaussian signal

Equivalent bandwidth
14
Uncertainty
15
Example of use
x(t)
h1(t)
z(t)
y(t)
z(t) y(t) x(t)h(t) x(t)h1(t)
16
Summary
  • Signal measures are single numbers characterizing
    a signal.
  • They are used in comparing signals, for example
    in adaptive filtering or control systems.
  • The longer we measure, the more precise the
    result is.
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