/external/libavc/encoder/ |
ih264e_core_coding.c | 101 * Then hadamard transform is done on the DC coefficients 431 * Then hadamard transform is done on the DC coefficients 760 * residue coefficients itself). If a 4x4 unit does not have any coefficients 761 * then only nnz is sent. Inside a 4x4 block the individual coefficients are 765 * a 2 byte significance map is sent. This is followed by nonzero coefficients. 772 * buffer pointing to packed residue coefficients 781 * number of non zero coefficients in each 4x4 unit 802 /* no of non zero coefficients in the current sub block */ 833 /* write number of non zero coefficients */ [all...] |
/external/libvpx/libvpx/third_party/libyuv/include/libyuv/ |
planar_functions.h | 211 // The first 4 coefficients apply to B, G, R, A and produce B of the output. 212 // The next 4 coefficients apply to B, G, R, A and produce G of the output. 213 // The next 4 coefficients apply to B, G, R, A and produce R of the output. 214 // The last 4 coefficients apply to B, G, R, A and produce A of the output. 224 // The first 4 coefficients apply to B, G, R, A and produce B of the output. 225 // The next 4 coefficients apply to B, G, R, A and produce G of the output. 226 // The last 4 coefficients apply to B, G, R, A and produce R of the output. 257 // coefficients for b, g, r and a. The 3rd row is coefficients for b squared, 258 // g squared, r squared and a squared. The 4rd row is coefficients for b t [all...] |
/external/libyuv/files/include/libyuv/ |
planar_functions.h | 212 // The first 4 coefficients apply to B, G, R, A and produce B of the output. 213 // The next 4 coefficients apply to B, G, R, A and produce G of the output. 214 // The next 4 coefficients apply to B, G, R, A and produce R of the output. 215 // The last 4 coefficients apply to B, G, R, A and produce A of the output. 225 // The first 4 coefficients apply to B, G, R, A and produce B of the output. 226 // The next 4 coefficients apply to B, G, R, A and produce G of the output. 227 // The last 4 coefficients apply to B, G, R, A and produce R of the output. 258 // coefficients for b, g, r and a. The 3rd row is coefficients for b squared, 259 // g squared, r squared and a squared. The 4rd row is coefficients for b t [all...] |
/external/eigen/Eigen/src/SparseCore/ |
AmbiVector.h | 164 /** Set all coefficients of current subvector to zero */ 277 /** Iterator over the nonzero coefficients */ 287 * \param epsilon the minimal value used to prune zero coefficients. 288 * In practice, all coefficients having a magnitude smaller than \a epsilon 363 RealScalar m_epsilon; // epsilon used to prune zero coefficients
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/external/libhevc/common/ |
ihevc_recon.c | 66 * Input 4x4 coefficients 145 * Input 4x4 coefficients 227 * Input 8x8 coefficients 309 * Input 16x16 coefficients 391 * Input 32x32 coefficients
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/external/webrtc/webrtc/common_audio/signal_processing/ |
resample_fractional.c | 20 // interpolation coefficients 214 // sum and accumulate filter coefficients and input samples 226 // sum and accumulate filter coefficients and input samples 229 // sum and accumulate filter coefficients and input samples 232 // sum and accumulate filter coefficients and input samples
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/frameworks/base/rs/java/android/renderscript/ |
ScriptIntrinsicHistogram.java | 107 * Set the coefficients used for the RGBA to Luminocity 110 * Coefficients must be >= 0 and sum to 1.0 or less. 122 throw new RSIllegalArgumentException("Sum of coefficients must be 1.0 or less."); 166 * the coefficients from 'setDotCoefficients' are used to 180 * the coefficients from 'setDotCoefficients' are used to
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/frameworks/support/v8/renderscript/java/src/android/support/v8/renderscript/ |
ScriptIntrinsicHistogram.java | 117 * Set the coefficients used for the RGBA to Luminocity 120 * Coefficients must be >= 0 and sum to 1.0 or less. 132 throw new RSIllegalArgumentException("Sum of coefficients must be 1.0 or less."); 176 * the coefficients from 'setDotCoefficients' are used to 190 * the coefficients from 'setDotCoefficients' are used to
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/external/libavc/common/ |
ih264_structs.h | 372 /* coeff_data : Non zero coefficients */ 377 /* coeff_data : Non zero coefficients */ 382 /* coeff_data : Non zero coefficients */ 695 * the matrix coefficients used in deriving luma and chroma signals [all...] |
/external/libjpeg-turbo/simd/ |
jidctflt-sse.asm | 57 ; Perform dequantization and inverse DCT on one block of coefficients. 300 movaps xmm1,xmm6 ; transpose coefficients(phase 1) 303 movaps xmm3,xmm0 ; transpose coefficients(phase 1) 321 movaps xmm2,xmm7 ; transpose coefficients(phase 1) 324 movaps xmm4,xmm5 ; transpose coefficients(phase 1) 328 movaps xmm3,xmm6 ; transpose coefficients(phase 2) 331 movaps xmm0,xmm1 ; transpose coefficients(phase 2) 343 movaps xmm6,xmm5 ; transpose coefficients(phase 2) 346 movaps xmm3,xmm4 ; transpose coefficients(phase 2) 519 movq mm7,mm0 ; transpose coefficients(phase 1 [all...] |
jidctfst-mmx.asm | 78 ; Perform dequantization and inverse DCT on one block of coefficients. 261 movq mm3,mm6 ; transpose coefficients(phase 1) 264 movq mm0,mm5 ; transpose coefficients(phase 1) 282 movq mm4,mm7 ; transpose coefficients(phase 1) 285 movq mm2,mm1 ; transpose coefficients(phase 1) 289 movq mm0,mm6 ; transpose coefficients(phase 2) 292 movq mm5,mm3 ; transpose coefficients(phase 2) 304 movq mm6,mm1 ; transpose coefficients(phase 2) 307 movq mm0,mm2 ; transpose coefficients(phase 2) 447 movq mm2,mm6 ; transpose coefficients(phase 1 [all...] |
jidctint-sse2-64.asm | 92 ; Perform dequantization and inverse DCT on one block of coefficients. 389 movdqa xmm6,xmm5 ; transpose coefficients(phase 1) 392 movdqa xmm1,xmm7 ; transpose coefficients(phase 1) 456 movdqa xmm4,xmm3 ; transpose coefficients(phase 1) 459 movdqa xmm6,xmm0 ; transpose coefficients(phase 1) 463 movdqa xmm1,xmm7 ; transpose coefficients(phase 2) 466 movdqa xmm5,xmm2 ; transpose coefficients(phase 2) 476 movdqa xmm2,xmm0 ; transpose coefficients(phase 2) 479 movdqa xmm5,xmm6 ; transpose coefficients(phase 2) 483 movdqa xmm3,xmm7 ; transpose coefficients(phase 3 [all...] |
/external/eigen/Eigen/src/Core/ |
Matrix.h | 78 * Dense matrices and vectors are plain usual arrays of coefficients. All the coefficients are stored, in an ordinary contiguous array. 79 * This is unlike Sparse matrices and vectors where the coefficients are stored as a list of nonzero coefficients.</dd> 83 * of coefficients as a fixed-size array, as a class member. This makes sense for very small matrices, typically up to 4x4, sometimes up 87 * variables, and the array of coefficients is allocated dynamically on the heap. 244 /** \brief Constructs an initialized 2D vector with given coefficients */ 248 /** \brief Constructs an initialized 3D vector with given coefficients */ 257 /** \brief Constructs an initialized 4D vector with given coefficients */
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CwiseNullaryOp.h | 18 * \brief Generic expression of a matrix where all coefficients are defined by a functor 295 /** \returns true if all coefficients in this matrix are approximately equal to \a val, to within precision \a prec */ 309 * \returns true if all coefficients in this matrix are approximately equal to \a value, to within precision \a prec */ 317 /** Alias for setConstant(): sets all coefficients in this expression to \a val. 327 /** Sets all coefficients in this expression to \a value. 337 /** Resizes to the given \a size, and sets all coefficients in this expression to the given \a value. 354 /** Resizes to the given size, and sets all coefficients in this expression to the given \a value. 358 * \param val the value to which all coefficients are set 491 /** Sets all coefficients in this expression to zero. 504 /** Resizes to the given \a size, and sets all coefficients in this expression to zero [all...] |
BooleanRedux.h | 71 /** \returns true if all coefficients are true 122 /** \returns the number of coefficients which evaluate to true
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/external/apache-commons-math/src/main/java/org/apache/commons/math/optimization/linear/ |
SimplexTableau.java | 185 // decision variable coefficients 268 * Get the -1 times the sum of all coefficients in the given array. 269 * @param coefficients coefficients to sum 270 * @return the -1 times the sum of all coefficients in the given array. 272 protected static double getInvertedCoeffiecientSum(final RealVector coefficients) { 274 for (double coefficient : coefficients.getData()) { 374 double[] coefficients = new double[getOriginalNumDecisionVariables()]; local 375 for (int i = 0; i < coefficients.length; i++) { 378 coefficients[i] = 0 [all...] |
/external/pdfium/third_party/libjpeg/ |
fpdfapi_jcdctmgr.c | 76 * coefficients multiplied by 8 (to counteract scaling). 93 * coefficients scaled by scalefactor[row]*scalefactor[col], where 131 * coefficients scaled by scalefactor[row]*scalefactor[col], where 176 * blocks. The quantized coefficients are returned in coef_blocks[]. 226 /* Quantize/descale the coefficients, and store into coef_blocks[] */ 317 /* Quantize/descale the coefficients, and store into coef_blocks[] */
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/frameworks/av/media/libstagefright/codecs/amrwbenc/inc/ |
acelp.h | 54 Word16 A[], /* (o) Q12 : A[M] LPC coefficients (m = 16) */ 55 Word16 rc[], /* (o) Q15 : rc[M] Reflection coefficients. */ 60 Word16 a[], /* (i) Q12 : predictor coefficients */ 67 Word16 a[], /* (o) Q12 : predictor coefficients (order = M) */ 89 Word16 Az[] /* output: LP coefficients in 4 subframes */ 93 Word16 a[], /* (i) Q12 : a[m+1] LPC coefficients */ 94 Word16 ap[], /* (o) Q12 : Spectral expanded LPC coefficients */ 265 Word16 a[], /* (i) Q12 : prediction coefficients */ 272 Word16 a[], /* (i) Q12 : prediction coefficients */ 279 Word16 a[], /* (i) Q12 : a[m+1] prediction coefficients */ [all...] |
/external/eigen/Eigen/src/Eigen2Support/Geometry/ |
RotationBase.h | 29 /** the scalar type of the coefficients */ 88 * \param Scalar the numeric type of the matrix coefficients
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/external/eigen/doc/ |
TutorialReductionsVisitorsBroadcasting.dox | 13 returning the sum of all the coefficients inside a given matrix or array. 24 The \em trace of a matrix, as returned by the function \c trace(), is the sum of the diagonal coefficients and can equivalently be computed <tt>a.diagonal().sum()</tt>. 29 The (Euclidean a.k.a. \f$\ell^2\f$) squared norm of a vector can be obtained \link MatrixBase::squaredNorm() squaredNorm() \endlink. It is equal to the dot product of the vector by itself, and equivalently to the sum of squared absolute values of its coefficients. 35 If you want other \f$\ell^p\f$ norms, use the \link MatrixBase::lpNorm() lpNnorm<p>() \endlink method. The template parameter \a p can take the special value \a Infinity if you want the \f$\ell^\infty\f$ norm, which is the maximum of the absolute values of the coefficients. 51 - \link DenseBase::all() all() \endlink returns \b true if all of the coefficients in a given Matrix or Array evaluate to \b true . 52 - \link DenseBase::any() any() \endlink returns \b true if at least one of the coefficients in a given Matrix or Array evaluates to \b true . 53 - \link DenseBase::count() count() \endlink returns the number of coefficients in a given Matrix or Array that evaluate to \b true. 55 These are typically used in conjunction with the coefficient-wise comparison and equality operators provided by Array. For instance, <tt>array > 0</tt> is an %Array of the same size as \c array , with \b true at those positions where the corresponding coefficient of \c array is positive. Thus, <tt>(array > 0).all()</tt> tests whether all coefficients of \c array are positive. This can be seen in the following example:
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/external/eigen/test/eigen2/ |
eigen2_visitor.cpp | 19 // construct a random matrix where all coefficients are different 65 // construct a random vector where all coefficients are different
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/external/eigen/test/ |
visitor.cpp | 20 // construct a random matrix where all coefficients are different 67 // construct a random vector where all coefficients are different
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/external/libgsm/src/ |
code.c | 37 * LARc[1..8] parameters which are the coded LAR coefficients and 43 word * LARc, /* [0..7] LAR coefficients OUT */
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/external/libopus/silk/ |
quant_LTP_gains.c | 85 &gain_Q7, /* O sum of absolute LTP coefficients */ 92 max_gain_Q7, /* I maximum sum of absolute LTP coefficients */
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/external/speex/libspeex/ |
lsp.h | 12 Coefficients (LPC) to Line Spectral Pair (LSP) and back. Note that the 13 LSP coefficients are not in radians format but in the x domain of the
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