示例#1
0
 /// <summary>
 /// Normalize a signal using standard score.
 /// </summary>
 /// <param name="source">Input stream</param>
 /// <param name="window">Normalization window</param>
 /// <returns>Normalized signal</returns>
 public static IStreamable <Empty, Signal> Normalize(
     this IStreamable <Empty, Signal> source,
     long window
     )
 {
     return(source
            .AttachAggregate(
                s => s.Select(e => e.val),
                w => w.JoinedAggregate(
                    w.Average(e => e),
                    w.StandardDeviation(e => e),
                    (avg, std) => new { avg, std }
                    ),
                (signal, agg) =>
                new Signal(signal.ts, (float)((signal.val - agg.avg) / agg.std)),
                window, window, window - 1
                )
            );
 }
示例#2
0
 /// <summary>
 /// Peak detection query.
 /// </summary>
 /// <param name="source">Input stream</param>
 /// <param name="period">Period of input stream</param>
 /// <param name="window">Mean window</param>
 /// <param name="factor">Scaling factor</param>
 /// <returns>Peaks in the signal stream</returns>
 public static IStreamable <Empty, Signal> Peaks(
     this IStreamable <Empty, Signal> source,
     long period,
     float factor,
     long window = 400
     )
 {
     return(source
            .AttachAggregate(
                s => s.Select(e => e.val),
                w => w.Average(e => e * factor),
                (signal, avg) => new { signal, avg },
                2 * window, 1, window
                )
            .Where(e => e.signal.val > e.avg)
            .Select(e => e.signal)
            .StitchAggregate(w => w.TopK(e => e.val, 1))
            .Select(e => e.First().Payload)
            .AlterEventDuration(period)
            );
 }
示例#3
0
 /// <summary>
 /// Fill missing values with mean of historic values.
 /// </summary>
 /// <param name="source">Input stream</param>
 /// <param name="window">Mean window</param>
 /// <param name="period">Period of input signal stream</param>
 /// <param name="gap_tol">Gap tolerance</param>
 /// <param name="offset">Offset</param>
 /// <returns>Signal after missing values filled with `val`</returns>
 public static IStreamable <Empty, Signal> FillMean(
     this IStreamable <Empty, Signal> source,
     long window,
     long period,
     long gap_tol,
     long offset = 0
     )
 {
     return(source
            .AttachAggregate(s => s, w => w.Average(e => e.val),
                             (signal, avg) => new { signal, avg, sqd = (signal.val - avg) * (signal.val - avg) },
                             window, window, window - 1)
            .AlterEventDuration(period)
            .Chop(offset, period, gap_tol)
            .Select((vs, s) => new { s.signal, s.avg, new_ts = vs })
            .Select(e =>
                    (e.signal.ts == e.new_ts)
                     ? e.signal
                     : new Signal(e.new_ts, e.avg))
            .AlterEventDuration(period)
            );
 }