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Diffstat (limited to 'dom/media/webrtc/libwebrtcglue/RunningStat.h')
-rw-r--r-- | dom/media/webrtc/libwebrtcglue/RunningStat.h | 48 |
1 files changed, 48 insertions, 0 deletions
diff --git a/dom/media/webrtc/libwebrtcglue/RunningStat.h b/dom/media/webrtc/libwebrtcglue/RunningStat.h new file mode 100644 index 0000000000..7a0e88f193 --- /dev/null +++ b/dom/media/webrtc/libwebrtcglue/RunningStat.h @@ -0,0 +1,48 @@ +/* Any copyright is dedicated to the Public Domain. + http://creativecommons.org/publicdomain/zero/1.0/ */ +/* Adapted from "Accurately computing running variance - John D. Cook" + http://www.johndcook.com/standard_deviation.html */ + +#ifndef RUNNING_STAT_H_ +#define RUNNING_STAT_H_ +#include <math.h> + +namespace mozilla { + +class RunningStat { + public: + RunningStat() : mN(0), mOldM(0.0), mNewM(0.0), mOldS(0.0), mNewS(0.0) {} + + void Clear() { mN = 0; } + + void Push(double x) { + mN++; + + // See Knuth TAOCP vol 2, 3rd edition, page 232 + if (mN == 1) { + mOldM = mNewM = x; + mOldS = 0.0; + } else { + mNewM = mOldM + (x - mOldM) / mN; + mNewS = mOldS + (x - mOldM) * (x - mNewM); + + // set up for next iteration + mOldM = mNewM; + mOldS = mNewS; + } + } + + int NumDataValues() const { return mN; } + + double Mean() const { return (mN > 0) ? mNewM : 0.0; } + + double Variance() const { return (mN > 1) ? mNewS / (mN - 1) : 0.0; } + + double StandardDeviation() const { return sqrt(Variance()); } + + private: + int mN; + double mOldM, mNewM, mOldS, mNewS; +}; +} // namespace mozilla +#endif // RUNNING_STAT_H_ |