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Communication system performance is critically assessed through factors like noise, distortion, and bandwidth constraints. The chapter highlights the implications of signal-to-noise ratio (SNR) and various forms of distortion on data transmission quality. Techniques to enhance performance and applications in different technologies underscore the importance of evaluating these elements for robust communication systems.
5
Evaluate The Performance Of Communication Systems, Considering Noise, Distortion, And Bandwidth Constraints
This section discusses how communication system performance is influenced by noise, distortion, and bandwidth constraints, emphasizing the importance of these factors in ensuring effective data transmission.
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Term: Noise
Definition: Unwanted electrical signals that interfere with message signals, including thermal noise, shot noise, impulse noise, intermodulation noise, and crosstalk.
Term: SignaltoNoise Ratio (SNR)
Definition: A measure comparing the level of a desired signal to the level of background noise, typically expressed in decibels (dB).
Term: Distortion
Definition: Deviation of a signal from its original form, which can be amplitude, phase, or frequency distortion.
Term: Bandwidth
Definition: The range of frequencies that a communication system can transmit, which directly affects data transmission rates.
Term: Shannon's Capacity Theorem
Definition: A fundamental theorem that defines the maximum data rate of a communication channel based on its bandwidth and the signal-to-noise ratio.