Analyze and transform signals using FFT, filtering, wavelets, and Kalman filters.
npx skills add https://github.com/GuitarAlchemist/ix --skill ix-signal
Please help me install this Agent Skill. Skill: ix-signal Source: https://github.com/GuitarAlchemist/ix/tree/main/.claude/skills/ix-signal Command: npx skills add https://github.com/GuitarAlchemist/ix --skill ix-signal
This Skill streamlines signal processing tasks, allowing users to efficiently analyze and transform time-domain and frequency-domain signals.
Use the ix-signal skill to apply a Kalman filter to your time series data to estimate the system state.
High-intent search queries and answers about installing and using this skill.
To apply a Kalman filter to time series data, use the skill to estimate the underlying state of a noisy dynamic system. It processes your sequential observations to smooth out measurement noise and predict the true trajectory.
Frequency-domain filtering reduces sensor data noise by applying low-pass, high-pass, or band-pass filters. This process isolates relevant frequency components and attenuates unwanted background interference from your raw signals.
FFT and spectral analysis are fully supported for audio signal processing. You can decompose audio into frequency components, compute power spectral density, and generate spectrograms to visualize the audio frequencies.
Haar wavelet transforms perform multi-resolution signal analysis by decomposing time-domain data into shifted and scaled versions of a basic step function. This allows you to analyze both the frequency and location of signal changes simultaneously.
You need Hamming, Hanning, or Blackman windows during FFT operations to reduce spectral leakage. Applying these window functions before transformation minimizes edge discontinuities, resulting in more accurate frequency domain representations.
This signal processing approach supports both cross-correlation and DCT. You can compute cross-correlation to measure signal similarity and apply discrete cosine transforms for data compression and feature extraction.
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