numpy-fft
CommunityUnlock signal insights with FFT.
Software Engineering#signal processing#fourier transform#fft#numpy#spectral analysis#frequency domain
Authorcuba6112
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill provides tools to analyze signals in the frequency domain, enabling tasks like spectral analysis and filtering.
Core Features & Use Cases
- Spectral Analysis: Decompose signals into their constituent frequencies.
- Signal Filtering: Remove or isolate specific frequency components.
- Frequency Domain Operations: Perform operations like convolution more efficiently.
- Use Case: Analyze audio recordings to identify dominant frequencies or apply a low-pass filter to remove high-frequency noise.
Quick Start
Use the numpy-fft skill to analyze the frequency components of the provided signal.
Dependency Matrix
Required Modules
numpy
Components
scriptsreferences
💻 Claude Code Installation
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Please help me install this Skill: Name: numpy-fft Download link: https://github.com/cuba6112/skillfactory/archive/main.zip#numpy-fft Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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