td-spectral-density
OfficialAnalyze frequency content of time series.
Authorteradata-labs
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill helps analyze the frequency content of time series data, enabling deeper insights into patterns and anomalies within signals.
Core Features & Use Cases
- Power Spectral Density Estimation: Utilizes Teradata's Unbounded Array Framework (UAF) to calculate PSD.
- Frequency Content Analysis: Identifies dominant frequencies and their power in time series data.
- Use Case: Analyze sensor data from IoT devices to detect cyclical patterns or anomalies in machine vibrations.
Quick Start
Analyze the spectral density of the 'sensor_data' table using the 'timestamp' and 'value' columns.
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: td-spectral-density Download link: https://github.com/teradata-labs/claude-cookbooks/archive/main.zip#td-spectral-density Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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