Searched refs:estimator (Results 1 – 11 of 11) sorted by relevance
| /third_party/grpc/test/core/transport/ |
| D | bdp_estimator_test.cc | 60 void AddSamples(BdpEstimator* estimator, int64_t* samples, size_t n) { in AddSamples() argument
61 estimator->AddIncomingBytes(1234567); in AddSamples()
64 estimator->SchedulePing(); in AddSamples()
65 estimator->StartPing(); in AddSamples()
67 estimator->AddIncomingBytes(samples[i]); in AddSamples()
72 estimator->CompletePing(); in AddSamples()
75 void AddSample(BdpEstimator* estimator, int64_t sample) { in AddSample() argument
76 AddSamples(estimator, &sample, 1); in AddSample()
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| /third_party/iptables/extensions/ |
| D | libxt_rateest.man | 1 The rate estimator can match on estimated rates as collected by the RATEEST
31 For each estimator (either absolute or relative mode), calculate the difference
32 between the estimator-determined flow rate and the static value chosen with the
38 Match if rate is less than given rate/estimator.
41 Match if rate is greater than given rate/estimator.
44 Match if rate is equal to given rate/estimator.
46 In the so-called "absolute mode", only one rate estimator is used and compared
51 Name of the one rate estimator for absolute mode.
69 Compare the estimator(s) by bytes or packets per second, and compare against
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| /third_party/boost/libs/math/doc/statistics/ |
| D | signal_statistics.qbk | 155 The /M/[sub 2]/M/[sub 4] SNR estimator is an "in-service" estimator, meaning that the estimate is m…
156 This estimator has been found to be work best between roughly -3 and 15db, tending to overestimate …
159 The /M/[sub 2]/M/[sub 4] SNR estimator, by default, assumes that the kurtosis of the signal is 1 an…
169 Now, technically the method is a "blind SNR estimator", meaning that the no /a-priori/ information …
173 …ll tend to the noise kurtosis-though in this limit we have an excellent estimator of the noise kur…
176 …which uses estimates of this sort to improve the performance of the /M/[sub 2]/M/[sub 4] estimator.
185 The /M/[sub 2]/M/[sub 4] SNR estimator is computed from mean-invariant quantities,
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| /third_party/vk-gl-cts/modules/gles2/performance/ |
| D | es2pShaderOperatorTests.cpp | 423 const gls::LineParameters estimator = simpleLinearRegression(data); in simpleLinearRegressionError() local
428 const float estY = estimator.offset + estimator.coefficient*data[i].x(); in simpleLinearRegressionError()
950 const SegmentedEstimator& estimator = estimators[progNdx]; in iterate() local
985 …tEstimate", "Workload cost estimate", "us / workload", QP_KEY_TAG_TIME, estimator.right.coefficien… in iterate()
987 if (estimator.pivotX > -std::numeric_limits<float>::infinity()) in iterate()
988 …:Message << "Note: the data points with x coordinate greater than or equal to " << estimator.pivotX in iterate()
990 …< TestLog::Message << "Note: the left line is estimated to be " << lineParamsString(estimator.left) in iterate()
991 << " and the right line " << lineParamsString(estimator.right) << TestLog::EndMessage; in iterate()
993 …ge << "Note: the data seem to form a single line: " << lineParamsString(estimator.right) << TestLo… in iterate()
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| /third_party/vk-gl-cts/modules/gles3/performance/ |
| D | es3pShaderOperatorTests.cpp | 423 const gls::LineParameters estimator = simpleLinearRegression(data); in simpleLinearRegressionError() local
428 const float estY = estimator.offset + estimator.coefficient*data[i].x(); in simpleLinearRegressionError()
950 const SegmentedEstimator& estimator = estimators[progNdx]; in iterate() local
985 …tEstimate", "Workload cost estimate", "us / workload", QP_KEY_TAG_TIME, estimator.right.coefficien… in iterate()
987 if (estimator.pivotX > -std::numeric_limits<float>::infinity()) in iterate()
988 …:Message << "Note: the data points with x coordinate greater than or equal to " << estimator.pivotX in iterate()
990 …< TestLog::Message << "Note: the left line is estimated to be " << lineParamsString(estimator.left) in iterate()
991 << " and the right line " << lineParamsString(estimator.right) << TestLog::EndMessage; in iterate()
993 …ge << "Note: the data seem to form a single line: " << lineParamsString(estimator.right) << TestLo… in iterate()
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| /third_party/boost/libs/accumulators/doc/ |
| D | accumulators.qbk | 1073 The `covariance` feature is an iterative Monte Carlo estimator for the covariance.
1545 Median estimation based on the [^P^2] quantile estimator, the density estimator, or
1546 the [^P^2] cumulative distribution estimator. For more implementation details, see
2954 An iterative Monte Carlo estimator for the weighted covariance. The feature is specified as
3288 …n estimation for weighted samples based on the [^P^2] quantile estimator, the density estimator, or
3289 the [^P^2] cumulative distribution estimator. For more implementation details, see
3652 of the 2nd central moment (the variance) of the samples 3. The skewness estimator for weighted samp…
3653 is formally identical to the estimator for unweighted samples, except that the weighted counterpart…
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| /third_party/boost/libs/histogram/doc/ |
| D | overview.qbk | 14 … is a kind of lossy data-compression. It is also often used as a simple estimator for the [@https:…
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| /third_party/boost/libs/math/doc/overview/ |
| D | roadmap.qbk | 63 …efficient, Hoyer sparsity, oracle SNR, and the /M/[sub 2]/M/[sub 4] SNR estimator to `tools/signal…
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| /third_party/libnl/doc/ |
| D | route.txt | 1537 values if a rate estimator has been configured.
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| /third_party/pulseaudio/src/modules/rtp/ |
| D | rfc3550.txt | 2214 This algorithm is the optimal first-order estimator and the gain
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| /third_party/gstreamer/gstplugins_bad/ |
| D | ChangeLog | 129533 window estimator (PCROffsetGroupCurrent).
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