/external/libopus/silk/fixed/ |
H A D | regularize_correlations_FIX.c | 34 /* Add noise to matrix diagonal */ 38 opus_int32 noise, /* I Noise to add */ 44 matrix_ptr( &XX[ 0 ], i, i, D ) = silk_ADD32( matrix_ptr( &XX[ 0 ], i, i, D ), noise ); 46 xx[ 0 ] += noise; 35 silk_regularize_correlations_FIX( opus_int32 *XX, opus_int32 *xx, opus_int32 noise, opus_int D ) argument
|
/external/libopus/silk/float/ |
H A D | regularize_correlations_FLP.c | 34 /* Add noise to matrix diagonal */ 38 const silk_float noise, /* I Noise energy to add */ 45 matrix_ptr( &XX[ 0 ], i, i, D ) += noise; 47 xx[ 0 ] += noise; 35 silk_regularize_correlations_FLP( silk_float *XX, silk_float *xx, const silk_float noise, const opus_int D ) argument
|
/external/opencv3/samples/cpp/ |
H A D | image.cpp | 85 Mat noise(img.size(), CV_8U); // another Mat constructor; allocates a matrix of the specified size and type 86 randn(noise, Scalar::all(128), Scalar::all(20)); // fills the matrix with normally distributed random values; 88 GaussianBlur(noise, noise, Size(3, 3), 0.5, 0.5); // blur the noise a bit, kernel size is 3x3 and both sigma's are set to 0.5 95 IplImage cv_planes_0 = planes[0], cv_noise = noise; 99 addWeighted(planes[0], contrast_gain, noise, 1, -128 + brightness_gain, planes[0]);
|
/external/libvpx/libvpx/vp9/common/ |
H A D | vp9_postproc.h | 28 char noise[3072]; member in struct:postproc_state
|
/external/opencv3/modules/photo/test/ |
H A D | test_denoise_tvl1.cpp | 46 cv::Mat noise(img.size(), img.type()), mask(img.size(), CV_8U); 47 rng.fill(noise,cv::RNG::NORMAL,128.0,sigma); 48 cv::addWeighted(img, 1, noise, 1, -128, noisy); 49 cv::randn(noise, cv::Scalar::all(0), cv::Scalar::all(2)); 50 noise *= 255; 54 noise.setTo(128, mask); 55 cv::addWeighted(noisy, 1, noise, 1, -128, noisy);
|
/external/opencv3/modules/calib3d/perf/ |
H A D | perf_pnp.cpp | 48 //add noise 49 Mat noise(1, (int)points2d.size(), CV_32FC2); 50 randu(noise, 0, 0.01); 51 add(points2d, noise, points2d); 95 //add noise 96 Mat noise(1, (int)points2d.size(), CV_32FC2); 97 randu(noise, -0.001, 0.001); 98 add(points2d, noise, points2d);
|
/external/libvpx/libvpx/vp8/common/ |
H A D | postproc.h | 20 char noise[3072]; member in struct:postproc_state
|
/external/opencv3/samples/python2/ |
H A D | fitline.py | 40 def sample_line(p1, p2, n, noise=0.0): 43 return p1 + (p2-p1)*t + np.random.normal(size=(n, 2))*noise 49 noise = cv2.getTrackbarPos('noise', 'fit line') 59 line_points = sample_line(p0, p1, n-outn, noise) 77 cv2.createTrackbar('noise', 'fit line', 3, 50, update)
|
H A D | video.py | 23 synth:bg=../data/lena.jpg:noise=0.1 24 synth:class=chess:bg=../data/lena.jpg:noise=0.1:size=640x480 44 def __init__(self, size=None, noise=0.0, bg = None, **params): 57 self.noise = float(noise) 72 if self.noise > 0.0: 73 noise = np.zeros((h, w, 3), np.int8) 74 cv2.randn(noise, np.zeros(3), np.ones(3)*255*self.noise) 75 buf = cv2.add(buf, noise, dtyp [all...] |
H A D | deconvolution.py | 13 [--snr <signal/noise ratio in db>] 93 noise = 10**(-0.1*cv2.getTrackbarPos('SNR (db)', win)) 107 iPSF = PSF / (PSF2 + noise)[...,np.newaxis]
|
/external/chromium-trace/catapult/third_party/Paste/paste/util/ |
H A D | datetimeutil.py | 84 for noise in "minu:teshour()": 85 val = val.replace(noise, ' ') 125 for noise in ":amp.": 126 val = val.replace(noise, ' ') 243 for noise in ('/', '-', ',', '*'): 244 val = val.replace(noise, ' ') 245 for noise in _wkdy: 246 val = val.replace(noise, ' ')
|
/external/autotest/client/cros/audio/ |
H A D | audio_analysis_unittest.py | 12 """Uses the same seed to generate noise for each test.""" 24 noise = numpy.random.standard_normal(samples) * 0.005 27 coeff_2 * numpy.sin(freq_2 * 2.0 * numpy.pi * x)) + noise 32 # with coefficient 0.3, 0Hz is from Gaussian noise with coefficient 64 noise = numpy.random.standard_normal(samples) * noise_amplitude 66 results = audio_analysis.spectral_analysis(noise, rate) 101 """Add noise to the test signal.""" 103 noise = numpy.random.standard_normal(len(self.y)) * noise_amplitude 104 self.y = self.y + noise 174 """Sine wave signal with no noise o [all...] |
/external/libgdx/tests/gdx-tests/src/com/badlogic/gdx/tests/g3d/voxel/ |
H A D | PerlinNoiseGenerator.java | 24 /** Adapted from <a href="http://devmag.org.za/2009/04/25/perlin-noise/">http://devmag.org.za/2009/04/25/perlin-noise/</a>
28 float[][] noise = new float[width][height];
31 noise[x][y] = MathUtils.random();
34 return noise;
108 float[][] noise = generatePerlinNoise(baseNoise, octaveCount);
114 bytes[idx++] = (byte)(noise[x][y] * range + min);
|
/external/webrtc/webrtc/modules/audio_processing/ns/ |
H A D | ns_core.c | 36 // For spectral_flatness: used when noise is flatter than speech. 114 // For quantile noise estimation. 137 self->priorSpeechProb = 0.5f; // Prior prob for speech/noise. 142 // Current noise-spectrum. 143 memset(self->noise, 0, sizeof(float) * HALF_ANAL_BLOCKL); 144 // Previous noise-spectrum. 146 // Conservative noise spectrum estimate. 196 // Counter for update of conservative noise spectrum. 216 // Estimate noise. 219 float* noise) { 217 NoiseEstimation(NoiseSuppressionC* self, float* magn, float* noise) argument 566 ComputeSnr(const NoiseSuppressionC* self, const float* magn, const float* noise, float* snrLocPrior, float* snrLocPost) argument 801 UpdateNoiseEstimate(NoiseSuppressionC* self, const float* magn, const float* snrLocPrior, const float* snrLocPost, float* noise) argument 1053 float magn[HALF_ANAL_BLOCKL], noise[HALF_ANAL_BLOCKL]; local [all...] |
H A D | ns_core.h | 26 float factor2ModelPars; // For spectral_flatness: used when noise is flatter 65 // Parameters for quantile noise estimation. 85 float noise[HALF_ANAL_BLOCKL]; // Noise spectrum from current frame. member in struct:NoiseSuppressionC_ 92 float priorSpeechProb; // Prior speech/noise probability. 94 // Conservative noise spectrum estimate. 98 float whiteNoiseLevel; // Initial noise estimate. 100 float pinkNoiseNumerator; // Pink noise parameter: numerator. 101 float pinkNoiseExp; // Pink noise parameter: power of frequencies. 110 float speechProb[HALF_ANAL_BLOCKL]; // Final speech/noise prob: prior + LRT. 123 * This function initializes a noise suppressio [all...] |
H A D | nsx_core.h | 61 // Conservative estimate of noise spectrum. 69 uint32_t whiteNoiseLevel; // Initial noise estimate. 72 // Pink noise parameters: 82 // Prior speech/noise probability in Q14. 120 * This function initializes a noise suppression instance 137 * This changes the aggressiveness of the noise suppression method. 154 * Do noise suppression. 177 uint32_t* noise, 186 // For the noise supression process, synthesis, read out fully processed 211 // Compute speech/noise probabilit [all...] |
/external/opencv3/modules/video/test/ |
H A D | test_estimaterigid.cpp | 106 Mat noise(1, n, CV_32FC2); 107 rng.fill(noise, RNG::NORMAL, Scalar::all(0), Scalar::all(0.001*(n<=7 ? 0 : n <= 30 ? 1 : 10))); 108 tpts += noise;
|
/external/ImageMagick/MagickCore/ |
H A D | gem.c | 1458 % GenerateDifferentialNoise() generates differentual noise. 1469 % o pixel: noise is relative to this pixel value. 1471 % o noise_type: the type of noise. 1473 % o attenuate: attenuate the noise. 1491 noise, 1500 noise=(double) (pixel+QuantumRange*SigmaUniform*(alpha-0.5)); 1515 noise=(double) (pixel+sqrt((double) pixel)*SigmaGaussian*sigma+ 1522 noise=0.0; 1525 noise=(double) QuantumRange; 1527 noise 1470 noise, local [all...] |
/external/speex/libspeex/ |
H A D | preprocess.c | 46 I. Cohen and B. Berdugo, "Speech enhancement for non-stationary noise environments". 50 approach to combined acoustic echo cancellation and noise reduction". IEEE 211 spx_word32_t *noise; /**< Noise estimate */ member in struct:SpeexPreprocessState_ 221 int *update_prob; /**< Probability of speech presence for noise update */ 320 /* Compute the gain floor based on different floors for the background noise and residual echo */ 321 static void compute_gain_floor(int noise_suppress, int effective_echo_suppress, spx_word32_t *noise, spx_word32_t *echo, spx_word16_t *gain_floor, int len) argument 331 /* gain_floor = sqrt [ (noise*noise_floor + echo*echo_floor) / (noise+echo) ] */ 334 spx_sqrt(SHL32(EXTEND32(DIV32_16_Q15(PSHR32(noise[i],NOISE_SHIFT) + MULT16_32_Q15(gain_ratio,echo[i]), 335 (1+PSHR32(noise[ 380 compute_gain_floor(int noise_suppress, int effective_echo_suppress, spx_word32_t *noise, spx_word32_t *echo, spx_word16_t *gain_floor, int len) argument [all...] |
/external/aac/libFDK/include/ |
H A D | FDK_tools_rom.h | 231 noise, enumerator in enum:__anon316
|
/external/libvorbis/lib/ |
H A D | psy.h | 135 float *noise,
|
H A D | mapping0.c | 371 float *noise = _vorbis_block_alloc(vb,n/2*sizeof(*noise)); local 419 /* first step; noise masking. Not only does 'noise masking' 421 to give noise parts of the spectrum, it also implicitly hands 427 noise); /* noise does not have by-frequency offset 432 _analysis_output("noiseL",seq,noise,n/2,1,0,0); 434 _analysis_output("noiseR",seq,noise,n/2,1,0,0); 436 _analysis_output("noise",se [all...] |
/external/wpa_supplicant_8/wpa_supplicant/examples/ |
H A D | wpas-test.py | 80 noise = props["noise"]
|
/external/opencv3/modules/superres/test/ |
H A D | test_superres.cpp | 113 cv::Mat noise(_image.size(), CV_32FC(cn)); 114 cvtest::TS::ptr()->get_rng().fill(noise, cv::RNG::NORMAL, 0.0, sigma); 116 cv::addWeighted(_image, 1.0, noise, 1.0, 0.0, _image, depth);
|
/external/libvpx/libvpx/vp8/common/x86/ |
H A D | postproc_mmx.asm | 244 ;void vp8_plane_add_noise_mmx (unsigned char *Start, unsigned char *noise, 261 mov rcx, arg(1) ;noise 279 psubusb mm1, [rdx] ;blackclamp ; clamp both sides so we don't outrange adding noise 283 movq mm2,[rdi+rax] ; get the noise for this line
|