Statement of the Theorem
Shannon’s Channel Capacity theorem States that the maximum rate at which information can be transmitted over a communication channel of a specified bandwidth in the presence of noise.
[Tex]C = Blog₂( 1 + S/N )[/Tex]
- C is the channel capacity in bits per second.
- B is the bandwidth of the channel.
- S is the average received signal.
- N is the average power or noise.
- S/N is the signal to noise ratio.
Shannon Capacity
In this article, we will be discussing the Shannon capacity theorem. Shannon Capacity or Shannon’s Channel Capacity theorem is a widely used theorem used in digital signal processing. This theorem helps in deciding the capacity of any noise-transmitting channel. It is very helpful in digital signals. In this article, we will learn about the Shannon capacity theorem, its formula, diagram, applications and full explanation.
Table of Content
- Shannon’s Channel Capacity
- Statement of the Theorem
- Applications
- Advantages
- Disadvantages