/dports/mail/thunderbird/thunderbird-91.8.0/third_party/libwebrtc/webrtc/common_audio/vad/ |
H A D | vad_core.c | 144 int gaussian; in GmmProbability() local 293 nmk = self->noise_means[gaussian]; in GmmProbability() 294 smk = self->speech_means[gaussian]; in GmmProbability() 295 nsk = self->noise_stds[gaussian]; in GmmProbability() 296 ssk = self->speech_stds[gaussian]; in GmmProbability() 306 delt = (int16_t)((ngprvec[gaussian] * deltaN[gaussian]) >> 11); in GmmProbability() 326 self->noise_means[gaussian] = nmk3; in GmmProbability() 335 delt = (int16_t)((sgprvec[gaussian] * deltaS[gaussian]) >> 11); in GmmProbability() 358 tmp_s16 = sgprvec[gaussian] >> 2; in GmmProbability() 379 self->speech_stds[gaussian] = ssk; in GmmProbability() [all …]
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/dports/www/firefox-legacy/firefox-52.8.0esr/media/webrtc/trunk/webrtc/common_audio/vad/ |
H A D | vad_core.c | 134 int gaussian; in GmmProbability() local 283 nmk = self->noise_means[gaussian]; in GmmProbability() 284 smk = self->speech_means[gaussian]; in GmmProbability() 285 nsk = self->noise_stds[gaussian]; in GmmProbability() 286 ssk = self->speech_stds[gaussian]; in GmmProbability() 296 delt = (int16_t)((ngprvec[gaussian] * deltaN[gaussian]) >> 11); in GmmProbability() 316 self->noise_means[gaussian] = nmk3; in GmmProbability() 325 delt = (int16_t)((sgprvec[gaussian] * deltaS[gaussian]) >> 11); in GmmProbability() 348 tmp_s16 = sgprvec[gaussian] >> 2; in GmmProbability() 369 self->speech_stds[gaussian] = ssk; in GmmProbability() [all …]
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/dports/www/firefox-esr/firefox-91.8.0/third_party/libwebrtc/webrtc/common_audio/vad/ |
H A D | vad_core.c | 144 int gaussian; in GmmProbability() local 293 nmk = self->noise_means[gaussian]; in GmmProbability() 294 smk = self->speech_means[gaussian]; in GmmProbability() 295 nsk = self->noise_stds[gaussian]; in GmmProbability() 296 ssk = self->speech_stds[gaussian]; in GmmProbability() 306 delt = (int16_t)((ngprvec[gaussian] * deltaN[gaussian]) >> 11); in GmmProbability() 326 self->noise_means[gaussian] = nmk3; in GmmProbability() 335 delt = (int16_t)((sgprvec[gaussian] * deltaS[gaussian]) >> 11); in GmmProbability() 358 tmp_s16 = sgprvec[gaussian] >> 2; in GmmProbability() 379 self->speech_stds[gaussian] = ssk; in GmmProbability() [all …]
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/dports/audio/webrtc-audio-processing/webrtc-audio-processing-1.0/webrtc/common_audio/vad/ |
H A D | vad_core.c | 143 int gaussian; in GmmProbability() local 292 nmk = self->noise_means[gaussian]; in GmmProbability() 293 smk = self->speech_means[gaussian]; in GmmProbability() 294 nsk = self->noise_stds[gaussian]; in GmmProbability() 295 ssk = self->speech_stds[gaussian]; in GmmProbability() 305 delt = (int16_t)((ngprvec[gaussian] * deltaN[gaussian]) >> 11); in GmmProbability() 325 self->noise_means[gaussian] = nmk3; in GmmProbability() 334 delt = (int16_t)((sgprvec[gaussian] * deltaS[gaussian]) >> 11); in GmmProbability() 357 tmp_s16 = sgprvec[gaussian] >> 2; in GmmProbability() 378 self->speech_stds[gaussian] = ssk; in GmmProbability() [all …]
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/dports/audio/webrtc-audio-processing0/webrtc-audio-processing-0.3.1/webrtc/common_audio/vad/ |
H A D | vad_core.c | 134 int gaussian; in GmmProbability() local 283 nmk = self->noise_means[gaussian]; in GmmProbability() 284 smk = self->speech_means[gaussian]; in GmmProbability() 285 nsk = self->noise_stds[gaussian]; in GmmProbability() 286 ssk = self->speech_stds[gaussian]; in GmmProbability() 296 delt = (int16_t)((ngprvec[gaussian] * deltaN[gaussian]) >> 11); in GmmProbability() 316 self->noise_means[gaussian] = nmk3; in GmmProbability() 325 delt = (int16_t)((sgprvec[gaussian] * deltaS[gaussian]) >> 11); in GmmProbability() 348 tmp_s16 = sgprvec[gaussian] >> 2; in GmmProbability() 369 self->speech_stds[gaussian] = ssk; in GmmProbability() [all …]
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/dports/lang/spidermonkey78/firefox-78.9.0/media/webrtc/trunk/webrtc/common_audio/vad/ |
H A D | vad_core.c | 144 int gaussian; in GmmProbability() local 293 nmk = self->noise_means[gaussian]; in GmmProbability() 294 smk = self->speech_means[gaussian]; in GmmProbability() 295 nsk = self->noise_stds[gaussian]; in GmmProbability() 296 ssk = self->speech_stds[gaussian]; in GmmProbability() 306 delt = (int16_t)((ngprvec[gaussian] * deltaN[gaussian]) >> 11); in GmmProbability() 326 self->noise_means[gaussian] = nmk3; in GmmProbability() 335 delt = (int16_t)((sgprvec[gaussian] * deltaS[gaussian]) >> 11); in GmmProbability() 358 tmp_s16 = sgprvec[gaussian] >> 2; in GmmProbability() 379 self->speech_stds[gaussian] = ssk; in GmmProbability() [all …]
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/dports/audio/py-webrtcvad/webrtcvad-2.0.10/cbits/webrtc/common_audio/vad/ |
H A D | vad_core.c | 134 int gaussian; in GmmProbability() local 185 gaussian = channel + k * kNumChannels; in GmmProbability() 281 gaussian = channel + k * kNumChannels; in GmmProbability() 283 nmk = self->noise_means[gaussian]; in GmmProbability() 284 smk = self->speech_means[gaussian]; in GmmProbability() 285 nsk = self->noise_stds[gaussian]; in GmmProbability() 286 ssk = self->speech_stds[gaussian]; in GmmProbability() 320 self->noise_means[gaussian] = nmk3; in GmmProbability() 356 tmp_s16 = sgprvec[gaussian] >> 2; in GmmProbability() 377 self->speech_stds[gaussian] = ssk; in GmmProbability() [all …]
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/dports/multimedia/mswebrtc/mswebrtc-1.1.1/webrtc/webrtc/common_audio/vad/ |
H A D | vad_core.c | 134 int gaussian; in GmmProbability() local 283 nmk = self->noise_means[gaussian]; in GmmProbability() 284 smk = self->speech_means[gaussian]; in GmmProbability() 285 nsk = self->noise_stds[gaussian]; in GmmProbability() 286 ssk = self->speech_stds[gaussian]; in GmmProbability() 296 delt = (int16_t)((ngprvec[gaussian] * deltaN[gaussian]) >> 11); in GmmProbability() 316 self->noise_means[gaussian] = nmk3; in GmmProbability() 325 delt = (int16_t)((sgprvec[gaussian] * deltaS[gaussian]) >> 11); in GmmProbability() 348 tmp_s16 = sgprvec[gaussian] >> 2; in GmmProbability() 369 self->speech_stds[gaussian] = ssk; in GmmProbability() [all …]
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/dports/science/qmcpack/qmcpack-3.11.0/tests/molecules/LiH_ae_gms/qmc-ref/ |
H A D | vmc_short_noj.out | 102 Adding 1 cartesian gaussian orbitals for l= 0 103 Adding 1 cartesian gaussian orbitals for l= 0 104 Adding 1 cartesian gaussian orbitals for l= 0 105 Adding 1 cartesian gaussian orbitals for l= 0 106 Adding 1 cartesian gaussian orbitals for l= 0 107 Adding 1 cartesian gaussian orbitals for l= 0 108 Adding 3 cartesian gaussian orbitals for l= 1 109 Adding 3 cartesian gaussian orbitals for l= 1 110 Adding 3 cartesian gaussian orbitals for l= 1 111 Adding 3 cartesian gaussian orbitals for l= 1 [all …]
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H A D | vmc_long_noj.out | 102 Adding 1 cartesian gaussian orbitals for l= 0 103 Adding 1 cartesian gaussian orbitals for l= 0 104 Adding 1 cartesian gaussian orbitals for l= 0 105 Adding 1 cartesian gaussian orbitals for l= 0 106 Adding 1 cartesian gaussian orbitals for l= 0 107 Adding 1 cartesian gaussian orbitals for l= 0 108 Adding 3 cartesian gaussian orbitals for l= 1 109 Adding 3 cartesian gaussian orbitals for l= 1 110 Adding 3 cartesian gaussian orbitals for l= 1 111 Adding 3 cartesian gaussian orbitals for l= 1 [all …]
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/dports/math/sisl/SISL-SISL-4.6.0-44-g9114631/src/ |
H A D | s2514.c | 56 double gaussian[], int *stat) in s2514() argument 58 void s2514(surf, ider, derive, normal, gaussian, stat) in s2514() 63 double gaussian[]; 137 gaussian[0] = fundform[3]*fundform[5]-fundform[4]*fundform[4]; 138 gaussian[1] = (fundform[0]*fundform[2] - fundform[1]*fundform[1])* 146 gaussian[0] = 0.0; 147 gaussian[1] = 1.0;
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/dports/misc/vxl/vxl-3.3.2/contrib/brl/bbas/bsta/algo/ |
H A D | bsta_fit_gaussian.h | 69 gaussian.set_mean(mean); in bsta_fit_gaussian() 71 gaussian.set_covar(var); in bsta_fit_gaussian() 115 gaussian.set_mean(mean); in bsta_fit_gaussian() 116 gaussian.set_covar(var); in bsta_fit_gaussian() 160 gaussian.set_mean(mean); in bsta_fit_gaussian() 161 gaussian.set_covar(diag_covar); in bsta_fit_gaussian() 168 bsta_gaussian_full<T,n>& gaussian) in bsta_fit_gaussian() argument 205 gaussian.set_mean(mean); in bsta_fit_gaussian() 206 gaussian.set_covar(covar); in bsta_fit_gaussian() 268 bsta_fit_gaussian(samples, sample_weights, gaussian); in bsta_fit_gaussian() [all …]
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/dports/science/qmcpack/qmcpack-3.11.0/tests/molecules/FeCO6_b3lyp_gms/qmc-ref/ |
H A D | qmc-ref_noj.out | 93 Adding 1 cartesian gaussian orbitals for l= 0 94 Adding 1 cartesian gaussian orbitals for l= 0 95 Adding 1 cartesian gaussian orbitals for l= 0 96 Adding 1 cartesian gaussian orbitals for l= 0 97 Adding 1 cartesian gaussian orbitals for l= 0 98 Adding 3 cartesian gaussian orbitals for l= 1 99 Adding 3 cartesian gaussian orbitals for l= 1 100 Adding 3 cartesian gaussian orbitals for l= 1 101 Adding 3 cartesian gaussian orbitals for l= 1 102 Adding 3 cartesian gaussian orbitals for l= 1 [all …]
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H A D | qmc-short_noj.out | 93 Adding 1 cartesian gaussian orbitals for l= 0 94 Adding 1 cartesian gaussian orbitals for l= 0 95 Adding 1 cartesian gaussian orbitals for l= 0 96 Adding 1 cartesian gaussian orbitals for l= 0 97 Adding 1 cartesian gaussian orbitals for l= 0 98 Adding 3 cartesian gaussian orbitals for l= 1 99 Adding 3 cartesian gaussian orbitals for l= 1 100 Adding 3 cartesian gaussian orbitals for l= 1 101 Adding 3 cartesian gaussian orbitals for l= 1 102 Adding 3 cartesian gaussian orbitals for l= 1 [all …]
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H A D | qmc-long_noj.out | 93 Adding 1 cartesian gaussian orbitals for l= 0 94 Adding 1 cartesian gaussian orbitals for l= 0 95 Adding 1 cartesian gaussian orbitals for l= 0 96 Adding 1 cartesian gaussian orbitals for l= 0 97 Adding 1 cartesian gaussian orbitals for l= 0 98 Adding 3 cartesian gaussian orbitals for l= 1 99 Adding 3 cartesian gaussian orbitals for l= 1 100 Adding 3 cartesian gaussian orbitals for l= 1 101 Adding 3 cartesian gaussian orbitals for l= 1 102 Adding 3 cartesian gaussian orbitals for l= 1 [all …]
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/dports/math/octave-forge-signal/signal-1.4.1/inst/ |
H A D | gaussian.m | 18 ## @deftypefn {Function File} {} gaussian (@var{m}) 19 ## @deftypefnx {Function File} {} gaussian (@var{m}, @var{a}) 34 function w = gaussian (m, a) function 39 error ("gaussian: M must be a positive integer"); 48 %!assert (gaussian (1), 1) 51 %!error gaussian () 52 %!error gaussian (0.5) 53 %!error gaussian (-1) 54 %!error gaussian (ones (1, 4)) 55 %!error gaussian (1, 2, 3)
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/dports/math/nfft/nfft-3.5.2/examples/nnfft/ |
H A D | accuracy.m | 20 load gaussian.dat 26 m,gaussian(m+1,1),'k',m,gaussian(m+1,1),'k^'); 33 m,gaussian(m+1,2),'k',m,gaussian(m+1,2),'k^'); 40 m,gaussian(m+16,1),'k',m,gaussian(m+16,1),'k^'); 47 m,gaussian(m+16,2),'k',m,gaussian(m+16,2),'k^'); 54 m,gaussian(m+31,1),'k',m,gaussian(m+31,1),'k^'); 61 m,gaussian(m+31,2),'k',m,gaussian(m+31,2),'k^');
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/dports/audio/libbpm/libbpm-0.3/documentation/latex/ |
H A D | gaussian__filter__coeffs_8c.tex | 1 \subsection{bpmdsp/gaussian\_\-filter\_\-coeffs.c File Reference} 2 \label{gaussian__filter__coeffs_8c}\index{bpmdsp/gaussian\_\-filter\_\-coeffs.c@{bpmdsp/gaussian\_\… 8 Definition in file {\bf gaussian\_\-filter\_\-coeffs.c}. 13 Include dependency graph for gaussian\_\-filter\_\-coeffs.c:\nopagebreak 23 int {\bf gaussian\_\-filter\_\-coeffs} ({\bf filter\_\-t} $\ast$f)
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/dports/misc/sdformat/osrf-sdformat-f555f9a69f8f/sdf/1.4/ |
H A D | imu.sdf | 10 <element name="type" type="string" default="gaussian" required="1"> 11 …<description>The type of noise. Currently supported types are: "gaussian" (draw noise values inde… 16 …<description>For type "gaussian," the mean of the Gaussian distribution from which noise values ar… 19 …<description>For type "gaussian," the standard deviation of the Gaussian distribution from which n… 22 …<description>For type "gaussian," the mean of the Gaussian distribution from which bias values are… 25 …<description>For type "gaussian," the standard deviation of the Gaussian distribution from which b… 32 …<description>For type "gaussian," the mean of the Gaussian distribution from which noise values ar… 35 …<description>For type "gaussian," the standard deviation of the Gaussian distribution from which n… 38 …<description>For type "gaussian," the mean of the Gaussian distribution from which bias values are… 41 …<description>For type "gaussian," the standard deviation of the Gaussian distribution from which b…
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/dports/math/vtk6/VTK-6.2.0/Filters/Core/Testing/Tcl/ |
H A D | createBFont.tcl | 16 vtkImageGaussianSmooth gaussian 17 eval gaussian SetStandardDeviations 2 2 18 gaussian SetDimensionality 2 19 gaussian SetRadiusFactors 1 1 20 gaussian SetInputConnection [imageIn GetOutputPort] 23 geometry SetInputConnection [gaussian GetOutputPort]
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/dports/graphics/xmountains/xmountains-2.10/ |
H A D | calcalt.c | 506 + (scale * gaussian()); 517 + (scale * gaussian()); 528 + (scale * gaussian()); 578 + (scale * gaussian()); 589 + (scale * gaussian()); 600 + (scale * gaussian()); 646 + (scale * gaussian()); 653 + (scale * gaussian()); 659 + (scale * gaussian()); 666 + (scale * gaussian()); [all …]
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/dports/graphics/py-scikit-image/scikit-image-0.19.0/skimage/registration/tests/ |
H A D | test_ilk.py | 12 def test_2d_motion(dtype, gaussian, prefilter): argument 20 flow = optical_flow_ilk(image0, image1, gaussian=gaussian, 28 optical_flow_ilk(image0, image1, gaussian=gaussian, 34 def test_3d_motion(gaussian, prefilter): argument 41 gaussian=gaussian, prefilter=prefilter)
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/dports/math/vtk9/VTK-9.1.0/Filters/Core/Testing/Python/ |
H A D | createBFont.py | 16 gaussian = vtk.vtkImageGaussianSmooth() variable 17 gaussian.SetStandardDeviations(2,2) 18 gaussian.SetDimensionality(2) 19 gaussian.SetRadiusFactors(1,1) 20 gaussian.SetInputConnection(imageIn.GetOutputPort()) 22 geometry.SetInputConnection(gaussian.GetOutputPort())
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/dports/graphics/vips/vips-8.12.0/libvips/create/ |
H A D | mask_gaussian.c | 59 VipsMaskGaussian *gaussian = (VipsMaskGaussian *) mask; in vips_mask_gaussian_point() local 60 double fc = gaussian->frequency_cutoff; in vips_mask_gaussian_point() 61 double ac = gaussian->amplitude_cutoff; in vips_mask_gaussian_point() 102 vips_mask_gaussian_init( VipsMaskGaussian *gaussian ) in vips_mask_gaussian_init() argument 104 gaussian->frequency_cutoff = 0.5; in vips_mask_gaussian_init() 105 gaussian->amplitude_cutoff = 0.5; in vips_mask_gaussian_init()
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/dports/math/vtk8/VTK-8.2.0/Filters/Core/Testing/Python/ |
H A D | createBFont.py | 16 gaussian = vtk.vtkImageGaussianSmooth() variable 17 gaussian.SetStandardDeviations(2,2) 18 gaussian.SetDimensionality(2) 19 gaussian.SetRadiusFactors(1,1) 20 gaussian.SetInputConnection(imageIn.GetOutputPort()) 22 geometry.SetInputConnection(gaussian.GetOutputPort())
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