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Understanding Digital Signals and Discretization
Sep 2, 2024
Digital Signals Lecture Notes
Overview
Focus on digital signals, contrasting with analog and discrete time signals.
Digital signals require discretization of both time and magnitude.
Key Concepts
Discretization
Time Axis:
Divide time into equal intervals.
Example of interval calculation:
( \Delta t = t1 - t0 )
( \Delta t = t2 - t1 )
( \Delta t = t_n - t_{n-1} )
Magnitude Axis:
Must also be discretized.
Fixed number of levels for measurement.
Example: Temperature Measurement
Discrete Time Signals
Temperature measurements at different time intervals:
T1:
9°C
T2:
38°C
T3:
24°C
T4:
15°C
T5:
45°C
Values can be any within the range (0 to 45°C).
Digital Signals
Discretized magnitude levels: 0, 15, 30, 45.
Measurements:
T1:
9°C → 0°C (choosing lower value)
T2:
38°C → 30°C
T3:
24°C → 15°C
T4:
15°C → 15°C (allowed value)
T5:
45°C → 45°C
Key Takeaway:
Digital signals can only take specific discrete values.
Example: Voltage Measurement
Voltage allowed values: 0 volts and 5 volts.
At
T1:
2 volts → 0 volts (lower value selected).
Error Calculation:
Initial error: 2 volts.
Reducing Error by Increasing Levels
By dividing the range into more levels (e.g., 0, 1.25, 2.5, 3.75, 5):
At
T1:
2 volts → 1.25 volts (lower value selected).
New error: 0.75 volts.
Further increasing levels (e.g., 0 to 5 incrementally):
At
T1:
can measure as 2 volts → error of 0 volts.
Conclusion: Increasing levels reduces measurement error.
Conclusion
Discussion on the need for digital signals in the next lecture.
Question posed: Why do we need digital signals?
Call for students to provide answers in the comments.
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