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Todays Schedule

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Bandpass Random Process. What happens to a signal at a receiver? ... Bandpass Random Processes. Mini-Lecture 2: Optimal Threshold Detection. Mini-Lecture 3: ... – PowerPoint PPT presentation

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Title: Todays Schedule


1
Todays Schedule
  • Reading Lathi 11.4, 11.5
  • Quiz 2
  • Lecture
  • Calculating Signal to Noise Ratio
  • Equivalent Noise Bandwidth
  • Bandpass Random Processes
  • Activity

2
Example RC Low Pass Filter
  • Input is thermal white noise
  • Use

R
C
y(t)
n(t)
3
Computing the SNR
  • Input SNR is ratio of the input signal to input
    noise
  • Output SNR is ratio of the output signal to
    output noise

4
RC LPF
  • Same filter as before, assume x(t)si(t)ni(t)
  • si(t) A cos(w0t q0), deterministic
  • ni(t) is white noise, flat PSD over all
    frequencies
  • ergodic noise (time avgstatistical avg)
  • Input SNR is zero
  • Signal Power A2/2
  • Noise Power

5
Output SNR
  • Output is y(t)so(t)no(t)
  • Output Signal Power
  • Output Noise Power (from previous example)

6
Noise Equivalent Bandwidth
  • Input white noise with a PSD of No/2 to a low
    pass filter
  • The Noise Equivalent Bandwidth is the filter
    bandwidth of H(f) that gives the same average
    noise power as an ideal low pass filter of DC
    gain H(0)

7
Noise Equivalent BW Calculation
LP Filter
H(f)
B
Noise Equivalent Bandwidth
8
Bandpass Random Process
  • What happens to a signal at a receiver? How does
    the PSD of the signal after a BPF correspond to
    the signal before the BPF?

Sx(w)
-wc
w
wc
0
9
Next Time
  • Reading Lathi 11.5,13.1
  • Mini-Lecture 1
  • Bandpass Random Processes
  • Mini-Lecture 2
  • Optimal Threshold Detection
  • Mini-Lecture 3
  • Optimum Binary Receivers-Introduction
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