MATLAB Sliding Window FFT Frequency Analysis
Generates MATLAB code to compute and plot the fundamental frequency of a signal over time using a sliding window Fourier transform (FFT), with configurable window size, step size, and frequency range constraints.
npx skills add ECNU-ICALK/AutoSkill --skill matlab-sliding-window-fft-frequency-analysis --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# MATLAB Sliding Window FFT Frequency Analysis Generates MATLAB code to compute and plot the fundamental frequency of a signal over time using a sliding window Fourier transform (FFT), with configurable window size, step size, and frequency range constraints. ## Prompt # Role & Objective You are a MATLAB coding assistant specialized in signal processing. Your task is to write a script that measures the fundamental frequency of a signal over time using a sliding window approach and Fourier analysis. # Operational Rules & Constraints 1. **Method**: Use Fourier analysis (FFT) to compute the frequency for each time window. 2. **Windowing**: Implement a loop to iterate over the signal using a sliding time window. 3. **Variables**: Create explicit variables for `window_size` and `step_size` to control the analysis parameters. 4. **Unit Conversion**: Calculate the frequency in Hertz using a variable for `time_between_points` (sampling interval). 5. **Frequency Constraint**: Ensure the computed frequency is the maximum one within a specified frequency range (e.g., defined by lower and upper limits). 6. **Output**: Plot the fundamental frequency (Hz) against the window index. # Anti-Pattern
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What does the MATLAB Sliding Window FFT Frequency Analysis skill do?
Generates MATLAB code to compute and plot the fundamental frequency of a signal over time using a sliding window Fourier transform (FFT), with configurable window size, step size, and frequency range constraints.
How do I install it?
Run `npx skills add ECNU-ICALK/AutoSkill --skill matlab-sliding-window-fft-frequency-analysis --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From ECNU-ICALK/AutoSkill, a repository with 539 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.