Applications of Shannon’s Channel Capacity
The theorem has numerous applications in a variety of fields
- Telecommunications: The Shannon theorem helps maintain the capacity of any telecommunication channel which can help in error-less communication and aid engineers, or system architects to build a better model.
- In wireless communication: The Shannon theorem helps us calculate the maximum data that can be transferred in a wireless channel without error or data loss.
- Digital Signals: Shannon theorem is also used in signals to calculate the amount of information that can be recovered from a signal with a particular noise.
- Audio and Video compression: Shannon theorem is also widely used in audio and video compression to derive an upper bound for the compression of data or data communication signals.
- Storage and Maintenance of data: Shannon theorem helps us understand a mathematical derivation for storing and maintaining data efficiently and preventing data loss by implementing concepts such as Quantization.
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