| /external/webrtc/modules/audio_processing/utility/ |
| D | delay_estimator.h | 11 // Performs delay estimation on binary converted spectra.
43 // Delay estimation variables.
69 // - self : Pointer to the binary delay estimation far-end
76 // estimation. The memory needs to be initialized separately through
94 // - self : Pointer to the binary estimation far-end instance
104 // Initializes the delay estimation far-end instance created with
108 // - self : Pointer to the delay estimation far-end instance.
115 // Soft resets the delay estimation far-end instance created with
130 // - self : Pointer to the delay estimation far-end
147 // - self : Pointer to the binary delay estimation instance
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| D | delay_estimator_wrapper.h | 11 // Performs delay estimation on block by block basis.
24 // Allocates the memory needed by the far-end part of the delay estimation. The
43 // Initializes the far-end part of the delay estimation instance returned by
47 // Soft resets the far-end part of the delay estimation instance returned by
79 // Allocates the memory needed by the delay estimation. The memory needs to be
83 // - farend_handle : Pointer to the far-end part of the delay estimation
119 // Initializes the delay estimation instance returned by
123 // Soft resets the delay estimation instance returned by
139 // - handle : Pointer to the delay estimation instance.
148 // - handle : Pointer to the delay estimation instance.
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| /external/tensorflow/tensorflow/lite/g3doc/examples/pose_estimation/ |
| D | overview.md | 1 # Pose estimation
5 Pose estimation is the task of using an ML model to estimate the pose of a
21 download the starter MoveNet pose estimation model and supporting files.
26 If you want to try pose estimation on a web browser, check out the
34 Pose estimation refers to computer vision techniques that detect human figures
37 estimation merely estimates where key body joints are and does not recognize who
40 The pose estimation models takes a processed camera image as the input and
45 We provides reference implementation of two TensorFlow Lite pose estimation
48 * MoveNet: the state-of-the-art pose estimation model available in two
51 * PoseNet: the previous generation pose estimation model released in 2017.
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| /external/apache-commons-math/src/main/java/org/apache/commons/math/estimation/ |
| D | Estimator.java | 18 package org.apache.commons.math.estimation;
21 * This interface represents solvers for estimation problems.
23 * <p>The classes which are devoted to solve estimation problems
35 * @deprecated as of 2.0, everything in package org.apache.commons.math.estimation has
43 * Solve an estimation problem.
52 * @param problem estimation problem to solve
67 * @param problem estimation problem
74 * @param problem estimation problem
84 * @param problem estimation problem
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| D | EstimationProblem.java | 18 package org.apache.commons.math.estimation;
21 * This interface represents an estimation problem.
23 * <p>This interface should be implemented by all real estimation
27 * <p>An estimation problem, as seen by a solver is a set of
29 * during the estimation through the {@link #getUnboundParameters
43 * @deprecated as of 2.0, everything in package org.apache.commons.math.estimation has
51 * Get the measurements of an estimation problem.
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| D | AbstractEstimator.java | 18 package org.apache.commons.math.estimation;
32 * settings, jacobian and error estimation.</p>
35 * @deprecated as of 2.0, everything in package org.apache.commons.math.estimation has
179 * @param problem estimation problem
194 * @param problem estimation problem
209 * @param problem estimation problem
250 * @param problem estimation problem
275 * Initialization of the common parts of the estimation.
279 * @param problem estimation problem to solve
302 * Solve an estimation problem.
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| D | EstimatedParameter.java | 18 package org.apache.commons.math.estimation;
22 /** This class represents the estimated parameters of an estimation problem.
24 * <p>The parameters of an estimation problem have a name, a value and
32 * @deprecated as of 2.0, everything in package org.apache.commons.math.estimation has
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| D | GaussNewtonEstimator.java | 18 package org.apache.commons.math.estimation;
32 * This class implements a solver for estimation problems.
34 * <p>This class solves estimation problems using a weighted least
40 * @deprecated as of 2.0, everything in package org.apache.commons.math.estimation has
138 * Solve an estimation problem using a least squares criterion.
154 * @param problem estimation problem to solve
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| D | EstimationException.java | 18 package org.apache.commons.math.estimation;
25 * This class represents exceptions thrown by the estimation solvers.
29 * @deprecated as of 2.0, everything in package org.apache.commons.math.estimation has
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| D | WeightedMeasurement.java | 18 package org.apache.commons.math.estimation;
23 * This class represents measurements in estimation problems.
43 * steps of the estimation.</p>
49 * @deprecated as of 2.0, everything in package org.apache.commons.math.estimation has
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| D | SimpleEstimationProblem.java | 18 package org.apache.commons.math.estimation;
40 * @deprecated as of 2.0, everything in package org.apache.commons.math.estimation has
89 * Get the measurements of an estimation problem.
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| /external/webrtc/modules/congestion_controller/include/ |
| D | receive_side_congestion_controller.h | 30 // streams. For send side bandwidth estimation, this is simply
32 // receive side bandwidth estimation, we do the estimation locally and
62 // Returns latest receive side bandwidth estimation.
63 // Returns zero if receive side bandwidth estimation is unavailable.
66 // Removes stream from receive side bandwidth estimation.
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| /external/apache-commons-math/src/main/java/org/apache/commons/math3/filter/ |
| D | KalmanFilter.java | 102 /** The internal state estimation vector, equivalent to x hat. */
117 * match the dimension of the initial state estimation vector
220 * Returns the dimension of the state estimation vector.
238 * Returns the current state estimation vector.
240 * @return the state estimation vector
247 * Returns a copy of the current state estimation vector.
249 * @return the state estimation vector
273 /** Predict the internal state estimation one time step ahead. */
279 * Predict the internal state estimation one time step ahead.
289 * Predict the internal state estimation one time step ahead.
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| D | ProcessModel.java | 55 * Returns the initial state estimation vector.
58 * estimation with a zero vector.
60 * @return the initial state estimation vector
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| /external/webrtc/modules/audio_processing/aecm/ |
| D | aecm_defines.h | 39 #define ENERGY_DEV_TOL 400 /* The energy estimation tolerance (Q8). */
63 #define SUPGAIN_ERROR_PARAM_A 3072 /* Estimation error parameter */
65 #define SUPGAIN_ERROR_PARAM_B 1536 /* Estimation error parameter */
67 #define SUPGAIN_ERROR_PARAM_D SUPGAIN_DEFAULT /* Estimation error parameter */
71 /* Defines for "check delay estimation" */
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| /external/sdv/vsomeip/third_party/boost/numeric/odeint/include/boost/numeric/odeint/stepper/ |
| D | explicit_error_generic_rk.hpp | 177 …* \brief A generic implementation of explicit Runge-Kutta algorithms with error estimation. This c…
178 * base class for all explicit Runge-Kutta steppers with error estimation.
180 * This class implements the explicit Runge-Kutta algorithms with error estimation in a generic way.
187 * \tparam Order The order of a stepper if the stepper is used without error estimation.
188 …* \tparam StepperOrder The order of a step if the stepper is used with error estimation. Usually O…
190 * \tparam ErrorOrder The order of the error step if the stepper is used with error estimation.
216 …* estimation of the error is stored in `xerr`. `do_step_impl` is used by explicit_error_stepper_ba…
225 * \param xerr The result of the error estimation is written in xerr.
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| /external/webrtc/modules/audio_processing/aec3/ |
| D | reverb_decay_estimator.cc | 139 // Analyze the filter and accumulate data for reverb estimation. in Update()
213 // estimation. in EstimateDecay()
217 // Stop estimation of the decay until another good filter is received. in EstimateDecay()
247 // Accumulate data for reverb decay estimation and for the estimation of early in AnalyzeFilter()
360 // Estimates the size in blocks of the early reverb. The estimation is done by
380 // Estimation of the blocks that correspond to early reverberations. The in Estimate()
381 // estimation is done by analyzing the impulse response. The portions of the in Estimate()
386 // reverberations. The estimation is limited to the first in Estimate()
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| D | stationarity_estimator.h | 43 // getting a more robust estimation, it looks at future and/or past frames.
63 // Get an estimation of the stationarity for the current band by looking
93 // Get the noise estimation power spectrum.
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| /external/google-cloud-java/java-tasks/proto-google-cloud-tasks-v2beta2/src/main/java/com/google/cloud/tasks/v2beta2/ |
| D | QueueStatsOrBuilder.java | 30 * Output only. An estimation of the number of tasks in the queue, that is,
46 * Output only. An estimation of the nearest time in the future where a task
61 * Output only. An estimation of the nearest time in the future where a task
76 * Output only. An estimation of the nearest time in the future where a task
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| D | QueueStats.java | 74 * Output only. An estimation of the number of tasks in the queue, that is,
95 * Output only. An estimation of the nearest time in the future where a task
113 * Output only. An estimation of the nearest time in the future where a task
133 * Output only. An estimation of the nearest time in the future where a task
661 * Output only. An estimation of the number of tasks in the queue, that is,
679 * Output only. An estimation of the number of tasks in the queue, that is,
701 * Output only. An estimation of the number of tasks in the queue, that is,
728 * Output only. An estimation of the nearest time in the future where a task
745 * Output only. An estimation of the nearest time in the future where a task
768 * Output only. An estimation of the nearest time in the future where a task
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| /external/google-cloud-java/java-tasks/proto-google-cloud-tasks-v2beta3/src/main/java/com/google/cloud/tasks/v2beta3/ |
| D | QueueStatsOrBuilder.java | 30 * Output only. An estimation of the number of tasks in the queue, that is,
46 * Output only. An estimation of the nearest time in the future where a task
61 * Output only. An estimation of the nearest time in the future where a task
76 * Output only. An estimation of the nearest time in the future where a task
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| D | QueueStats.java | 74 * Output only. An estimation of the number of tasks in the queue, that is,
95 * Output only. An estimation of the nearest time in the future where a task
113 * Output only. An estimation of the nearest time in the future where a task
133 * Output only. An estimation of the nearest time in the future where a task
661 * Output only. An estimation of the number of tasks in the queue, that is,
679 * Output only. An estimation of the number of tasks in the queue, that is,
701 * Output only. An estimation of the number of tasks in the queue, that is,
728 * Output only. An estimation of the nearest time in the future where a task
745 * Output only. An estimation of the nearest time in the future where a task
768 * Output only. An estimation of the nearest time in the future where a task
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| /external/cronet/third_party/libc++/src/utils/ |
| D | CMakeLists.txt | 34 add_custom_target(libcxx-generate-width-estimation-table
39 COMMENT "Generate the width estimation header")
54 libcxx-generate-width-estimation-table
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| /external/sdv/vsomeip/third_party/boost/numeric/odeint/doc/concepts/ |
| D | error_stepper.qbk | 86 …order()`] [`order_type`] [Returns the order of the stepper for one step without error estimation.]]
87 …der()`] [`order_type`] [Returns the order of the stepper for one error estimation step which is us…
90 …p with error estimation] [`stepper.do_step( sys , x , t , dt , xerr )`] [`void`] [Performs one ste…
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| /external/libaom/av1/encoder/ |
| D | global_motion_facade.c | 195 // Loops over valid reference frames and computes global motion estimation.
236 // estimation is always done in the case of GF groups with no ARF frames (flat in disable_gm_search_based_on_stats()
241 // Therefore, GM param estimation is always done for all frames until in disable_gm_search_based_on_stats()
243 // encoded in a GF group For subsequent frames, GM param estimation is in disable_gm_search_based_on_stats()
253 // Prunes reference frames for global motion estimation based on the speed
297 // Skip global motion estimation for invalid ref frames in update_valid_ref_frames_for_gm()
322 // Skip global motion estimation for frames at the same nominal instant. in update_valid_ref_frames_for_gm()
399 // Global motion estimation for the current frame is computed.This computation
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