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  /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 */
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  /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
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  /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
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  /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
  /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
  /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
  /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
  /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
  /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
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  /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
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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
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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
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  /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 */
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
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BooleanRedux.h 71 /** \returns true if all coefficients are true
122 /** \returns the number of coefficients which evaluate to true
  /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
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  /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[] */
  /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 */
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  /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
  /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:
  /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
  /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
  /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 */
  /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 */
  /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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