{"skill":{"slug":"dsp-2","displayName":"Pywayne Dsp","summary":"Digital signal processing toolkit for filtering, peak detection, detrending, and curve similarity. Use when working with sensor data, signal preprocessing, f...","tags":{"latest":"0.1.0"},"stats":{"comments":0,"downloads":625,"installsAllTime":0,"installsCurrent":0,"stars":0,"versions":1},"createdAt":1771215064727,"updatedAt":1777525175115},"latestVersion":{"version":"0.1.0","createdAt":1771215064727,"changelog":"Initial release of pywayne-dsp: A digital signal processing toolkit for sensor data and time-series analysis.\n\n- Provides Butterworth and One-Euro filters for noise suppression and signal smoothing.\n- Includes peak and extrema detection tools (peak_det, sliding window detection).\n- Supports various detrending methods (mean, linear, poly, loess, wavelet, EMD, median).\n- Offers dynamic time warping (DTW) for curve similarity measurement.\n- Implements fast online standard deviation calculation (Welford algorithm).\n- Suitable for sensor preprocessing, ECG analysis, feature extraction, and quality monitoring.","license":null},"metadata":null,"owner":{"handle":"wangyendt","userId":"publishers:wangyendt","displayName":"wangyendt","image":"https://avatars.githubusercontent.com/u/18455758?v=4"},"moderation":null}