Skills
.Work. You
Rest

td-ifft

Official

Reconstruct time-domain signals from frequency data.

Data & Analytics#time series#signal processing#fft#teradata uaf#ifft#data reconstruction
Authorteradata-labs
Version1.0.0
Installs0

System Documentation

What problem does it solve?

This Skill reconstructs time-domain signals from their frequency domain representations, enabling detailed analysis and manipulation of signal characteristics.

Core Features & Use Cases

  • Signal Reconstruction: Transforms frequency-domain data back into a time-domain signal.
  • Time Series Analysis: Essential for processing sensor data, audio, and other time-varying signals.
  • Use Case: Analyze raw sensor data by converting its frequency spectrum back into a time-domain waveform to identify patterns or anomalies over time.

Quick Start

Use the td-ifft skill to reconstruct the time-domain signal from the provided frequency data.

Dependency Matrix

Required Modules

None required

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: td-ifft
Download link: https://github.com/teradata-labs/claude-cookbooks/archive/main.zip#td-ifft

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
View Source Repository

Agent Skills Search Helper

Install a tiny helper to your Agent, search and equip skill from 223,000+ vetted skills library on demand.