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  /external/ImageMagick/PerlMagick/quantum/
quantum.xs.in 222 {"sigma", RealReference}, {"channel", MagickChannelOptions} } },
233 {"sigma", RealReference} } },
248 { "OilPaint", { {"radius", RealReference}, {"sigma", RealReference} } },
263 {"sigma", RealReference}, {"channel", MagickChannelOptions} } },
376 {"sigma", RealReference} } },
388 {"radius", RealReference}, {"sigma", RealReference},
397 {"radius", RealReference}, {"sigma", RealReference},
401 {"radius", RealReference}, {"sigma", RealReference},
441 {"sigma", RealReference}, {"x", IntegerReference},
454 {"sigma", RealReference}, {"x", IntegerReference}
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  /external/ImageMagick/coders/
msl.c 950 geometry_info.sigma=1.0;
952 affine.sy=geometry_info.sigma;
1445 sigma = 1.0; local
6361 sigma = 1.0; local
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mpc.c 379 image->chromaticity.blue_primary.y=geometry_info.sigma;
510 image->chromaticity.green_primary.y=geometry_info.sigma;
644 image->chromaticity.red_primary.y=geometry_info.sigma;
663 image->resolution.y=geometry_info.sigma;
744 image->chromaticity.white_point.y=geometry_info.sigma;
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  /external/ImageMagick/MagickCore/
constitute.c 635 geometry_info.sigma=1.0;
637 if (geometry_info.sigma != 0)
638 next->resolution.x=geometry_info.rho/geometry_info.sigma;
645 geometry_info.sigma=1.0;
647 if (geometry_info.sigma != 0)
648 next->resolution.y=geometry_info.rho/geometry_info.sigma;
746 next->ticks_per_second=(ssize_t) floor(geometry_info.sigma+0.5);
751 next->ticks_per_second=(ssize_t) floor(geometry_info.sigma+0.5);
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  /external/apache-commons-math/src/main/java/org/apache/commons/math/stat/correlation/
PearsonsCorrelation.java 39 * <code>cor(X, Y) = &Sigma;[(x<sub>i</sub> - E(X))(y<sub>i</sub> - E(Y))] / [(n - 1)s(X)s(Y)]</code>
258 double sigma = FastMath.sqrt(covarianceMatrix.getEntry(i, i)); local
262 (sigma * FastMath.sqrt(covarianceMatrix.getEntry(j, j)));
  /external/apache-commons-math/src/main/java/org/apache/commons/math/stat/regression/
AbstractMultipleLinearRegression.java 272 double sigma = calculateErrorVariance(); local
276 result[i] = FastMath.sqrt(sigma * betaVariance[i][i]);
  /external/skia/tools/
sk_tool_utils.cpp 381 static float gaussian2d_value(int x, int y, float sigma) {
384 float temp = expf(-(x*x + y*y)/(2*sigma*sigma));
388 static float* create_2d_kernel(float sigma, int* filterSize) {
391 int halfFilterSize = SkScalarCeilToInt(6*sigma)/2;
399 temp[yOff*wh+xOff] = gaussian2d_value(xOff-halfFilterSize, yOff-halfFilterSize, sigma);
458 SkBitmap slow_blur(const SkBitmap& src, float sigma) {
464 std::unique_ptr<float[]> kernel(create_2d_kernel(sigma, &wh));
  /system/core/storaged/include/
storaged.h 190 disk_stats_monitor(uint32_t window_size = 5, double sigma = 1.0) :
194 mSigma(sigma) {
  /external/skia/gm/
reveal.cpp 390 SkScalar sigma = fBlurRadius / 4.0f; variable
393 clippedPath = drawObj->asPath(2.0f*sigma);
395 SkPath drawnPath = drawObj->asPath(2.0f*sigma);
396 SkPath clipPath = clipObj->asPath(2.0f*sigma);
403 blurPaint.setMaskFilter(SkBlurMaskFilter::Make(kNormal_SkBlurStyle, sigma));
  /external/libvpx/libvpx/vp8/common/
postproc.c 365 double sigma; local
368 sigma = noise_level + .5 + .6 * q / 63.0;
370 vpx_setup_noise(sigma, ppstate->generated_noise, oci->Width + 256);
  /external/skia/src/effects/
SkLayerDrawLooper.cpp 402 sk_sp<SkDrawLooper> SkBlurDrawLooper::Make(SkColor color, SkScalar sigma, SkScalar dx, SkScalar dy)
405 if (sigma > 0.0f) {
406 blur = SkBlurMaskFilter::Make(kNormal_SkBlurStyle, sigma, SkBlurMaskFilter::kNone_BlurFlag);
  /frameworks/native/services/sensorservice/
Fusion.cpp 495 void Fusion::update(const vec3_t& z, const vec3_t& Bi, float sigma) {
508 const mat33_t R(sigma*sigma);
  /external/ImageMagick/www/api/
morphology.php 136 <dd> Gaussian:{radius},{sigma} Generate a two-dimensional gaussian kernel, as used by -gaussian. The sigma for the curve is required. The resulting kernel is normalized, </dd>
138 <dd> If 'sigma' is zero, you get a single pixel on a field of zeros. </dd>
140 <dd> NOTE: that the 'radius' is optional, but if provided can limit (clip) the final size of the resulting kernel to a square 2*radius+1 in size. The radius should be at least 2 times that of the sigma value, or sever clipping and aliasing may result. If not given or set to 0 the radius will be determined so as to produce the best minimal error result, which is usally much larger than is normally needed. </dd>
142 <dd> LoG:{radius},{sigma} "Laplacian of a Gaussian" or "Mexician Hat" Kernel. The supposed ideal edge detection, zero-summing kernel. </dd>
144 <dd> An alturnative to this kernel is to use a "DoG" with a sigma ratio of approx 1.6 (according to wikipedia). </dd>
148 <dd> Blur:{radius},{sigma}[,{angle}] Generates a 1 dimensional or linear gaussian blur, at the angle given (current restricted to orthogonal angles). If a 'radius' is given the kernel is clipped to a width of 2*radius+1. Kernel can be rotated by a 90 degree angle. </dd>
150 <dd> If 'sigma' is zero, you get a single pixel on a field of zeros. </dd>
152 <dd> Note that two convolutions with two "Blur" kernels perpendicular to each other, is equivalent to a far larger "Gaussian" kernel with the same sigma value, However it is much faster to apply. This is how the "-blur" operator actually works. </dd>
154 <dd> Comet:{width},{sigma},{angle} Blur in one direction only, much like how a bright object leaves a comet like trail. The (…)
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feature.php 65 const double sigma,const double lower_percent,
84 <dt>sigma</dt>
85 <dd>the sigma of the gaussian smoothing filter. </dd>
fx.php 135 const double sigma,ExceptionInfo *exception)
153 <dt>sigma</dt>
451 const double sigma,const ssize_t x_offset,const ssize_t y_offset,
470 <dt>sigma</dt>
489 <p>SketchImage() simulates a pencil sketch. We convolve the image with a Gaussian operator of the given radius and standard deviation (sigma). For reasonable results, radius should be larger than sigma. Use a radius of 0 and SketchImage() selects a suitable radius for you. Angle gives the angle of the sketch.</p>
495 const double sigma,const double angle,ExceptionInfo *exception)
513 <dt>sigma</dt>
710 const double sigma,const ssize_t x,const ssize_t y,
729 <dt>sigma</dt
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  /external/eigen/test/
cholesky.cpp 42 RealScalar sigma = internal::random<RealScalar>(); local
43 symmCpy += sigma * vec * vec.adjoint();
50 chollo.rankUpdate(vec, sigma);
53 cholup.rankUpdate(vec, sigma);
svd_common.h 40 MatrixType sigma = MatrixType::Zero(rows,cols); local
41 sigma.diagonal() = svd.singularValues().template cast<Scalar>();
47 VERIFY(sigma.cwiseAbs().maxCoeff() <= (std::numeric_limits<RealScalar>::min)());
51 VERIFY_IS_APPROX(m/scaling, u * (sigma/scaling) * v.adjoint());
  /frameworks/base/location/java/android/location/
Location.java 361 double sigma = 0.0; local
380 sigma = Math.atan2(sinSigma, cosSigma); // (16)
407 (sigma + C * sinSigma *
417 float distance = (float) (b * A * (sigma - deltaSigma));
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  /frameworks/rs/cpu_ref/
rsCpuIntrinsicBlur.cpp 66 // g(x) = (1 / (sqrt(2 * pi) * sigma)) * e ^ (-x^2 / (2 * sigma^2))
68 // and sigma varies with the radius.
70 // we approximately fit sigma = f(radius) as
71 // sigma = radius * 0.4 + 0.6
73 // will resemble a box blur since with large sigma
75 float sigma = 0.4f * mRadius + 0.6f; local
79 float coeff1 = 1.0f / (sqrtf(2.0f * pi) * sigma);
80 float coeff2 = - 1.0f / (2.0f * sigma * sigma);
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  /bionic/libc/upstream-openbsd/lib/libc/crypt/
chacha_private.h 51 static const char sigma[16] = "expand 32-byte k"; variable
65 constants = sigma;
  /external/opencv/cv/include/
cv.hpp 183 int gaussian_size, double sigma );
201 static void init_gaussian_kernel( CvMat* kernel, double sigma=-1 );
  /external/openssh/
chacha.c 52 static const char sigma[16] = "expand 32-byte k"; variable
66 constants = sigma;
  /external/openssh/openbsd-compat/
chacha_private.h 51 static const char sigma[16] = "expand 32-byte k"; variable
65 constants = sigma;
  /external/skia/src/gpu/effects/
GrGaussianConvolutionFragmentProcessor.cpp 184 // Note that the constant term (1/(sqrt(2*pi*sigma^2)) of the Gaussian
262 float sigma = radius / 3.f; local
266 dir, radius, sigma, static_cast<GrTextureDomain::Mode>(modeIdx), bounds);
  /frameworks/base/libs/hwui/tests/unit/
BakedOpDispatcherTests.cpp 167 SkScalar sigma = Blur::convertRadiusToSigma(5);
168 shadowPaint.setLooper(SkBlurDrawLooper::Make(SK_ColorWHITE, sigma, 3, 3));

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