Maximum Entropy Calculator

↳

Electronics

Chemical Engineering

Civil

Electrical

Electronics and Instrumentation

Materials Science

Mechanical

Production Engineering

⤿

Continuous Channels

Source Coding

✖The Total symbol represents the total discrete symbol emitted from discrete source. Symbols is the basic units of information that can be transmitted or processed.ⓘ Total Symbol [q]

+10%

-10%

✖The Maximum entropy is defined as states that the probability distribution which best represents the current state of knowledge about a system is the one with largest entropy.ⓘ Maximum Entropy [H[S]_max]

⎘ Copy

👎

Formula

✖

Maximum Entropy

Formula

`"H[S]"_{"max"} = log2("q")`

Example

`"4bits"=log2("16")`

Calculator

LaTeX

Reset

👍

Download Information Theory And Coding Formulas PDF

Maximum Entropy Solution

STEP 0: Pre-Calculation Summary

Formula Used

Maximum Entropy = log2(Total Symbol)
H[S]_max = log2(q)
This formula uses 1 Functions, 2 Variables

Functions Used

log2 - The binary logarithm (or log base 2) is the power to which the number 2 must be raised to obtain the value n., log2(Number)

Variables Used

Maximum Entropy - (Measured in Bit) - The Maximum entropy is defined as states that the probability distribution which best represents the current state of knowledge about a system is the one with largest entropy.
Total Symbol - The Total symbol represents the total discrete symbol emitted from discrete source. Symbols is the basic units of information that can be transmitted or processed.

STEP 1: Convert Input(s) to Base Unit

Total Symbol: 16 --> No Conversion Required

STEP 2: Evaluate Formula

Substituting Input Values in Formula

H[S]_max = log2(q) --> log2(16)

Evaluating ... ...

H[S]_max = 4

STEP 3: Convert Result to Output's Unit

4 Bit --> No Conversion Required

FINAL ANSWER

4 Bit <-- Maximum Entropy

(Calculation completed in 00.004 seconds)

You are here -

Home » Engineering » Electronics » Information Theory And Coding » Continuous Channels » Maximum Entropy

Credits

Created by Bhuvana

BMS collegeof engineering (BMSCE), Benagluru

Bhuvana has created this Calculator and 25+ more calculators!

Verified by Rachita C

BMS College Of Engineering (BMSCE), Banglore

Rachita C has verified this Calculator and 50+ more calculators!

< 10+ Continuous Channels Calculators

Channel Capacity

Go Channel Capacity = Channel Bandwidth*log2(1+Signal to Noise Ratio)

Noise Power Spectral Density of Gaussian Channel

Go Noise Power Spectral Density = (2*Channel Bandwidth)/Noise Power of Gaussian Channel

Noise Power of Gaussian Channel

Go Noise Power of Gaussian Channel = 2*Noise Power Spectral Density*Channel Bandwidth

Amount of Information

Go Amount of Information = log2(1/Probability of Occurrence)

Data Transfer

Go Data Transfer = (File Size*8)/Transfer Speed

Nth Extension Entropy

Go Nth Extension Entropy = Nth Source*Entropy

Information Rate

Go Information Rate = Symbol Rate*Entropy

Symbol Rate

Go Symbol Rate = Information Rate/Entropy

Maximum Entropy

Go Maximum Entropy = log2(Total Symbol)

Nyquist Rate

Go Nyquist Rate = 2*Channel Bandwidth

Maximum Entropy Formula

Maximum Entropy = log2(Total Symbol)
H[S]_max = log2(q)

What are the properties of entropy?

Entropy function is continuous for every independent variable. It is symmetrical function of its arguments. The partitioning of symbols into sub symbols cannot decrease the property.

When does Entropy attains maximum value?

Entropy attains maximum value when all the source symbols are equiprobable. Best model and allows most uncertainity from data.

How to Calculate Maximum Entropy?

Maximum Entropy calculator uses Maximum Entropy = log2(Total Symbol) to calculate the Maximum Entropy, The Maximum Entropy is defined as states that the probability distribution which best represents the current state of knowledge about a system is the one with largest entropy. Maximum Entropy is denoted by H[S]_max symbol.

How to calculate Maximum Entropy using this online calculator? To use this online calculator for Maximum Entropy, enter Total Symbol (q) and hit the calculate button. Here is how the Maximum Entropy calculation can be explained with given input values -> 4 = log2(16).

FAQ

What is Maximum Entropy?

The Maximum Entropy is defined as states that the probability distribution which best represents the current state of knowledge about a system is the one with largest entropy and is represented as H[S]_max = log2(q) or Maximum Entropy = log2(Total Symbol). The Total symbol represents the total discrete symbol emitted from discrete source. Symbols is the basic units of information that can be transmitted or processed.

How to calculate Maximum Entropy?

The Maximum Entropy is defined as states that the probability distribution which best represents the current state of knowledge about a system is the one with largest entropy is calculated using Maximum Entropy = log2(Total Symbol). To calculate Maximum Entropy, you need Total Symbol (q). With our tool, you need to enter the respective value for Total Symbol and hit the calculate button. You can also select the units (if any) for Input(s) and the Output as well.

Home

FREE PDFs

🔍 Search