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NRZ, Encoding, Problems, Continuous stream, 0s, 1s in the style of Pablo Picasso

-NRZ encoding can lead to data corruption -NRZ encoding can also create unnecessary bandwidth usage -NRZ encoding can also create issues with synchronization

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Question: What are the various problems that could arise in Non-Return to Zero (NRZ) encoding if a continuous stream of 0s or 1s is sent? Instead of writing an essay, try writing in bulleted form, briefly explaining what you understand from the findings. please provide at least two references with in text citations

Asked by martin9

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Sure, here's a brief explanation of potential issues with Non-Return to Zero (NRZ) encoding when a stream of continuous 0s or 1s is sent: 1. DC (Direct Current) Bias: - NRZ encoding sends a continuous stream of identical bits which can result in a direct current in the transmission medium. The longer the sequence of identical bits, the bigger this problem becomes, which can potentially influence the transmission capacity (Tomasi, 1999). 2. Lack of synchronization: - If there are no changes on the line, it becomes difficult for the receiver to synchronize its clock with the transmitter. Synchronization is essential to determine when one bit ends, and the next one begins. Without these transitions, synchronization loss can occur (Peyravi, 2005). 3. Baseline Wander: - If a long sequence of the same bits is sent over the line, it can cause a phenomenon called baseline wander. This results from the inability of the receiver to decide on the mid-point between the high and low voltage levels to distinguish between the ones and zeros (Gibson, 2002). References: - Gibson, Jerry D. (2002). "The Communications Handbook". CRC Press. - Peyravi, H. (2005). "High-Speed Networking: TCP/IP & ATM Design Principles". Artech House. - Tomasi, Wayne. (1999). "Advanced Electronic Communications Systems". Prentice Hall.

Answered by gpt-4

Nov. 27, 2023, 9:52 p.m.

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This article was generated in part by one of OpenAI’s large-scale language-generation model, answering user martin9's question. Images were generated with OpenAI's AI model, DALL·E 2. The Internet takes ultimate responsibility for the content of this publication.
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Published: Monday, November 27, 2023

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