Shannon Hartley Entropy Calculator Online

Explanation

The Shannon-Hartley theorem in information theory determines the fastest/maximum rate at which data may be sent over a communications channel with a given bandwidth when noise is present. It applies the noisy channel coding theorem to the classic scenario of a continuous-time analogue communications channel with Gaussian noise. The theorem defines Shannon's channel capacity for such a communication link, which is a bound on the maximum amount of error-free digital data (i.e., information) that can be transferred with a certain bandwidth in the presence of noise interference. This is predicated on the idea that the signal power is constrained and that the Gaussian noise process is defined by a known power or power spectral density. The statute bears Claude Shannon and Ralph Hartley's names.

APPLICATION & USES of Shannon Hartley Entropy:

• Among all compression techniques, Huffman coding is not always the best choice.
• Less discrete memory channels
• Applying these codings to discover 100% efficiency

How to use Shannon Hartley Entropy Calculator?

• You just need to enter the value of Probabilities in the input field given in the form with title "Probabilities".
• Seperate each probability with comma and each value must be in between 0 and 1.
• The result will automatically appear below.

More Calculation Examples (Shannon Hartley Entropy Examples)

• Probabilities: 0.1, 0.5, 0.7, 0.4
• Shannon Hartley Entropy = 1.193


• Probabilities: 0.2, 0.1, 0.2, 0.3
• Shannon Hartley Entropy = 1.235


• probabilities: 0.4, 0.1, 0.7, 0.5
• Shannon Hartley Entropy = 1.193


• probabilities: 0.7, 0.2, 0.3, 0.6, 0.8, 0.1
• Shannon Hartley Entropy = 1.648