fourier-analysis-expert
CommunityDeconstruct signals, analyze frequencies with Fourier power.
Software Engineering#mathematics#signal processing#harmonic analysis#fourier analysis#wavelets#fourier transform#convolution#fft
Authorsandraschi
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill provides specialized expertise in Fourier analysis, clarifying concepts like Fourier series, transforms, and their applications in signal processing. It helps users decompose complex signals into their constituent frequencies, enabling analysis, filtering, and reconstruction, saving time on manual calculations and complex theoretical derivations.
Core Features & Use Cases
- Transform Pairs: Understand the continuous and discrete Fourier transforms and their inverses.
- Key Theorems: Learn about the Convolution Theorem and Parseval's Identity.
- Signal Processing: Explore applications in audio, image, and data analysis.
- Use Case: Working with audio signals and need to remove noise or analyze frequency components? This Skill can explain the Fast Fourier Transform (FFT) and how it efficiently converts signals from time to frequency domain.
Quick Start
Explain a transform
"Explain the continuous Fourier Transform and its inverse."
Ask for a theorem
"What is the Convolution Theorem and why is it important in signal processing?"
Inquire about algorithms
"How does the Fast Fourier Transform (FFT) work?"
Dependency Matrix
Required Modules
None requiredComponents
Standard package💻 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: fourier-analysis-expert Download link: https://github.com/sandraschi/advanced-memory-mcp/archive/main.zip#fourier-analysis-expert Please download this .zip file, extract it, and install it in the .claude/skills/ directory.