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Doubling the Signal-to-Noise Ratio (SNR) generally leads to an improvement in the rate of communication systems, as it allows for clearer signal transmission with less interference from noise. According to Shannon's capacity theorem, the maximum achievable data rate increases logarithmically with SNR, meaning that doubling the SNR can lead to an increase in capacity and thus higher data rates. Specifically, this can translate to nearly a 1.5-fold increase in the channel capacity in ideal conditions. Overall, improved SNR contributes to enhanced performance and efficiency in data transmission.

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Is channel capacity related to snr?

Yes, channel capacity is directly related to the signal-to-noise ratio (SNR). According to the Shannon-Hartley theorem, the maximum data rate that can be transmitted over a communication channel is proportional to the logarithm of the SNR. Higher SNR allows for more reliable transmission and thus increases the channel capacity. Conversely, lower SNR results in reduced capacity due to increased noise interference.


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the channel capacity (information in bits per second) is related to bandwidth and SNR by the relation C= B[log(1+SNR) b/s log is at the base 2 B= bandwidth of a channel C= capacity in bits per second SNR= signal to noise ratio.


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digital bandwidth = analogue bandwidth * log2 (1+ SNR) where SNR = strenthe of signal power/ strength of noise larger the SNR it is better.


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What are the differences between SNR and NNR, and how do they impact the performance of communication systems?

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