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Raised cosine python

Raised cosine python
  1. What is raised cosine function?
  2. What is raised cosine spectrum in digital communication?
  3. Why do we need pulse shaping?
  4. How does pulse shaping reduce ISI?

What is raised cosine function?

A typical use of raised cosine filtering is to split the filtering between transmitter and receiver. Both transmitter and receiver employ square-root raised cosine filters. The combination of transmitter and receiver filters is a raised cosine filter, which results in minimum ISI.

What is raised cosine spectrum in digital communication?

The raised-cosine filter is a filter frequently used for pulse-shaping in digital modulation due to its ability to minimise intersymbol interference (ISI). Its name stems from the fact that the non-zero portion of the frequency spectrum of its simplest form ( ) is a cosine function, 'raised' up to sit above the.

Why do we need pulse shaping?

In communications systems, two important requirements of a wireless communications channel demand the use of a pulse shaping filter. These requirements are: 1) generating bandlimited channels, and 2) reducing inter symbol interference (ISI) from multi-path signal reflections.

How does pulse shaping reduce ISI?

Pulse shaping should contain the transmit signal within the specified band while minimizing the probability of errors at the receiver. On the other hand, pulse shaping causes inter-symbol interference (ISI) that degrades the detection process and therefore brings down the error performance of the whole system.

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