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Searched refs:Wf (Results 1 – 19 of 19) sorted by relevance

/third_party/boost/libs/math/example/daubechies_wavelets/
Dwavelet_transform.cpp24 auto Wf = daubechies_wavelet_transform<decltype(f), double, 8>(f); in main() local
29 grid(0,0) = Wf(s, t); in main()
39 std::cout << "W[f](s,t) = " << Wf(s,t) << "\n"; in main()
42 std::cout << Wf(0.0, 4.8) << "\n"; in main()
43 std::cout << "W[f](-s,t) = " << Wf(-s, t) << "\n"; in main()
/third_party/boost/libs/math/test/
Dwavelet_transform_test.cpp63 auto Wf = daubechies_wavelet_transform(f, psi); in test_wavelet_transform() local
66 Real w1 = Wf(s, 0.0); in test_wavelet_transform()
67 Real w2 = Wf(-s, 0.0); in test_wavelet_transform()
77 Real w = Wf(s, t); in test_wavelet_transform()
/third_party/boost/libs/math/doc/quadrature/
Dwavelet_transforms.qbk53 auto Wf = daubechies_wavelet_transform(f, psi);
55 double w = Wf(0.8, 7.2);
/third_party/openGLES/extensions/HP/
DHP_convolution_border_modes.txt65 REDUCE_EXT are reduced by Wf-1 and Hf-1, respectively. If this
69 convolution with border mode REDUCE_EXT are zero through Ws-Wf
80 For the remaining border modes, we define Cw = floor(Wf / 2)
/third_party/skia/third_party/externals/opengl-registry/extensions/HP/
DHP_convolution_border_modes.txt65 REDUCE_EXT are reduced by Wf-1 and Hf-1, respectively. If this
69 convolution with border mode REDUCE_EXT are zero through Ws-Wf
80 For the remaining border modes, we define Cw = floor(Wf / 2)
/third_party/openGLES/extensions/EXT/
DEXT_convolution.txt366 variables Wf and Hf refer to the dimensions of the convolution filter.
375 C[i] = SUM{n = 0 through Wf-1}
381 C[i,j] = SUM{n = 0 through Wf-1}
388 C[i,j] = SUM{n = 0 through Wf-1}
393 If Wf of a 1-dimensional filter is zero, then C[i] is always set to
394 zero. Likewise, if either Wf or Hf of a 2-dimensional filter is zero,
403 Wf-1 and Hf-1, respectively. If this reduction would generate a
407 through Ws-Wf in width, and zero through Hs-Hf in height. In
/third_party/skia/third_party/externals/opengl-registry/extensions/EXT/
DEXT_convolution.txt366 variables Wf and Hf refer to the dimensions of the convolution filter.
375 C[i] = SUM{n = 0 through Wf-1}
381 C[i,j] = SUM{n = 0 through Wf-1}
388 C[i,j] = SUM{n = 0 through Wf-1}
393 If Wf of a 1-dimensional filter is zero, then C[i] is always set to
394 zero. Likewise, if either Wf or Hf of a 2-dimensional filter is zero,
403 Wf-1 and Hf-1, respectively. If this reduction would generate a
407 through Ws-Wf in width, and zero through Hs-Hf in height. In
/third_party/boost/libs/wave/test/testwave/testfiles/
Dt_5_035.hpp930 #define Wf macro
/third_party/skia/third_party/externals/libjpeg-turbo/testimages/
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/third_party/flutter/skia/third_party/externals/libjpeg-turbo/testimages/
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/third_party/libjpeg-turbo/testimages/
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/third_party/libpsl/fuzz/libpsl_icu_load_fuzzer.in/
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/third_party/gstreamer/gstplugins_bad/tests/files/
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/third_party/libpsl/fuzz/libpsl_idn_load_fuzzer.in/
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/third_party/mesa3d/src/freedreno/.gitlab-ci/traces/
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/third_party/chromium/patch/
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/third_party/skia/experimental/wasm-skp-debugger/debugger/
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/third_party/openh264/res/
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