channel-capacity
CommunitySolve information theory channel capacity problems.
Education & Research#entropy#data transmission#information theory#channel capacity#mutual information#coding theory
Authorscooter-lacroix
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill provides strategies and tools for calculating and understanding channel capacity in information theory, a fundamental concept for data transmission limits.
Core Features & Use Cases
- Mutual Information Calculation: Compute mutual information using entropy formulas and SciPy.
- Channel Modeling: Understand and represent channel behavior using probability matrices.
- Capacity Calculation: Determine channel capacity for common channels (BSC, BEC, AWGN) and use iterative algorithms like Blahut-Arimoto.
- Use Case: Analyzing the maximum reliable data rate for a noisy communication channel.
Quick Start
Use the channel-capacity skill to calculate the capacity of a Binary Symmetric Channel with a crossover probability of 0.1.
Dependency Matrix
Required Modules
scipyz3-solver
Components
scriptsreferences
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: channel-capacity Download link: https://github.com/scooter-lacroix/Maestro/archive/main.zip#channel-capacity Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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