| /external/libvpx/libvpx/vpx_dsp/ |
| postproc.h | 18 // Fills a noise buffer with gaussian noise strength determined by sigma.
19 int vpx_setup_noise(double sigma, int8_t *noise, int size);
|
| add_noise.c | 20 void vpx_plane_add_noise_c(uint8_t *start, const int8_t *noise, int blackclamp,
26 const int8_t *ref = (const int8_t *)(noise + (rand() & 0xff)); // NOLINT
45 int vpx_setup_noise(double sigma, int8_t *noise, int size) {
66 noise[i] = char_dist[rand() & 0xff]; // NOLINT
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| /external/libopus/silk/fixed/ |
| 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;
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| /external/libopus/silk/float/ |
| 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;
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| /external/libvpx/libvpx/test/ |
| add_noise_test.cc | 24 typedef void (*AddNoiseFunc)(uint8_t *start, const int8_t *noise,
46 int8_t noise[kNoiseSize]; local
47 const int clamp = vpx_setup_noise(4.4, noise, kNoiseSize);
54 GetParam()(s, noise, clamp, clamp, width, height, width));
57 // noise either vertically or horizontally.
73 GetParam()(s, noise, clamp, clamp, width, height, width));
84 GetParam()(s, noise, clamp, clamp, width, height, width));
98 int8_t noise[kNoiseSize]; local
99 const int clamp = vpx_setup_noise(4.4, noise, kNoiseSize);
111 GetParam()(s, noise, clamp, clamp, width, height, width))
[all...] |
| /cts/tests/tests/renderscript/src/android/renderscript/cts/refocus/ |
| ImageCompare.java | 38 * Compute peak signal-to-noise ration (PSNR) between two images
64 double noise = 0; local
72 noise += (Y1 - Y2) * (Y1 - Y2);
77 final double mse = noise / numPixels;
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| /external/libvpx/libvpx/vpx_dsp/mips/ |
| add_noise_msa.c | 14 void vpx_plane_add_noise_msa(uint8_t *start_ptr, const int8_t *noise,
28 const int8_t *ref0_ptr = noise + (rand() & 0xff);
30 const int8_t *ref1_ptr = noise + (rand() & 0xff);
|
| /frameworks/rs/tests/java_api/Refocus/src/com/android/rs/test/ |
| ImageCompare.java | 38 * Compute peak signal-to-noise ration (PSNR) between two images
64 double noise = 0; local
72 noise += (Y1 - Y2) * (Y1 - Y2);
77 final double mse = noise / numPixels;
|
| /device/linaro/bootloader/edk2/AppPkg/Applications/Python/Python-2.7.2/Lib/test/ |
| test_binascii.py | 94 noise = fillers
95 ratio = len(line) // len(noise)
97 while line and noise:
98 if len(line) // len(noise) > ratio:
101 c, noise = noise[0], noise[1:]
103 return res + noise + line
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| /prebuilts/gdb/darwin-x86/lib/python2.7/test/ |
| test_binascii.py | 94 noise = fillers
95 ratio = len(line) // len(noise)
97 while line and noise:
98 if len(line) // len(noise) > ratio:
101 c, noise = noise[0], noise[1:]
103 return res + noise + line
|
| /prebuilts/gdb/linux-x86/lib/python2.7/test/ |
| test_binascii.py | 94 noise = fillers
95 ratio = len(line) // len(noise)
97 while line and noise:
98 if len(line) // len(noise) > ratio:
101 c, noise = noise[0], noise[1:]
103 return res + noise + line
|
| /prebuilts/python/darwin-x86/2.7.5/lib/python2.7/test/ |
| test_binascii.py | 94 noise = fillers
95 ratio = len(line) // len(noise)
97 while line and noise:
98 if len(line) // len(noise) > ratio:
101 c, noise = noise[0], noise[1:]
103 return res + noise + line
|
| /prebuilts/python/linux-x86/2.7.5/lib/python2.7/test/ |
| test_binascii.py | 94 noise = fillers
95 ratio = len(line) // len(noise)
97 while line and noise:
98 if len(line) // len(noise) > ratio:
101 c, noise = noise[0], noise[1:]
103 return res + noise + line
|
| /external/webrtc/webrtc/modules/audio_processing/ns/ |
| 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) {
1053 float magn[HALF_ANAL_BLOCKL], noise[HALF_ANAL_BLOCKL]; local
[all...] |
| 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_
86 float noisePrev[HALF_ANAL_BLOCKL]; // Noise spectrum from previous frame.
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
[all...] |
| nsx_core.h | 61 // Conservative estimate of noise spectrum.
69 uint32_t whiteNoiseLevel; // Initial noise estimate.
72 // Pink noise parameters:
78 // Noise spectrum from previous frame.
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.
174 // Noise Estimation.
177 uint32_t* noise,
[all...] |
| /external/autotest/client/cros/audio/ |
| audio_analysis_unittest.py | 13 """Uses the same seed to generate noise for each test."""
93 noise = numpy.random.standard_normal(samples) * 0.005
96 coeff_2 * numpy.sin(freq_2 * 2.0 * numpy.pi * x)) + noise
101 # with coefficient 0.3, 0Hz is from Gaussian noise with coefficient
135 noise = numpy.random.standard_normal(samples) * noise_amplitude
137 results = audio_analysis.spectral_analysis(noise, rate)
172 """Add noise to the test signal."""
174 noise = numpy.random.standard_normal(len(self.y)) * noise_amplitude
175 self.y = self.y + noise
245 """Sine wave signal with no noise or anomaly.""
[all...] |
| audio_quality_measurement_unittest.py | 16 """Uses the same seed to generate noise for each test."""
21 # Generates the standard sin wave with standard_noise portion of noise.
32 noise = standard_noise * numpy.random.standard_normal()
33 wave.append(float(amplitude) * (sine_wave + noise))
43 noise = audio_quality_measurement.noise_level(amplitude, frequency,
47 self.assertTrue(abs(noise - standard_noise) < 0.01)
78 """Adds noise to the test signal."""
81 noise = noise_amplitude * numpy.random.standard_normal()
82 self.y[index] += noise
147 """Sine wave signal with no noise or artifacts.""
[all...] |
| /external/libvpx/libvpx/vpx_dsp/x86/ |
| add_noise_sse2.asm | 14 ;void vpx_plane_add_noise_sse2(uint8_t *start, const int8_t *noise,
43 mov rcx, arg(1) ;noise
59 movdqu xmm2,[rdi+rax] ; get the noise for this line
|
| /external/ImageMagick/MagickCore/ |
| gem.c | 1470 noise, local
[all...] |
| /external/speex/libspeex/ |
| 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)
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])
[all...] |
| /external/aac/libFDK/include/ |
| FDK_tools_rom.h | 231 noise, enumerator in enum:__anon12983
|
| /external/libvorbis/lib/ |
| psy.h | 135 float *noise,
|
| 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",seq,noise,n/2,1,0,0)
[all...] |
| /external/wpa_supplicant_8/wpa_supplicant/examples/ |
| wpas-test.py | 80 noise = props["noise"]
|
