source-coding
CommunitySolve information theory source coding problems.
Education & Research#data compression#information theory#source coding#huffman coding#shannon's theorem#kraft inequality
Authorscooter-lacroix
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill provides strategies and tools for solving problems related to source coding in information theory, focusing on efficient data compression and representation.
Core Features & Use Cases
- Information Theory Calculations: Solves problems related to Shannon's Source Coding Theorem, Huffman Coding, Kraft Inequality, Arithmetic Coding, and Rate-Distortion Theory.
- Code Generation & Verification: Utilizes tools like Z3 and SymPy to prove theorems and compute code lengths.
- Use Case: Determine the optimal prefix-free code for a given set of symbol probabilities or calculate the minimum average code length required to represent a data source without losing information.
Quick Start
Use the source-coding skill to compute Huffman codes for symbols with given probabilities.
Dependency Matrix
Required Modules
None requiredComponents
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: source-coding Download link: https://github.com/scooter-lacroix/Maestro/archive/main.zip#source-coding Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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