/external/webrtc/src/common_audio/vad/ |
H A D | vad_gmm.h | 19 // normal distribution with mean and standard deviation (|mean|, |std|). 23 // - mean : mean input in the statistical model, Q7. 29 // |delta| = (|input| - |mean|) / |std|^2. 33 // 1 / |std| * exp(-(|input| - |mean|)^2 / (2 * |std|^2)); 35 int16_t mean,
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H A D | vad_gmm.c | 25 // m = |mean| (Q7) 31 int16_t mean, 52 tmp16 = tmp16 - mean; // Q7 - Q7 = Q7 30 WebRtcVad_GaussianProbability(int16_t input, int16_t mean, int16_t std, int16_t* delta) argument
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/external/valgrind/main/VEX/test/ |
H A D | rounderr.c | 43 /* Compute the arithmetic mean of a dataset using the recurrence relation 44 mean_(n) = mean(n-1) + (data[n] - mean(n-1))/(n+1) */ 45 long double mean = 0; local 50 mean += (data[i * stride] - mean) / (i + 1); 52 return mean; 58 /* Compute the arithmetic mean of a dataset using the
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/external/opencv/cv/src/ |
H A D | cvadapthresh.cpp | 48 CvMat* mean = 0; local 70 mean = dst; 72 CV_CALL( mean = cvCreateMat( rows, cols, CV_8UC1 )); 74 CV_CALL( cvSmooth( src, mean, method == CV_ADAPTIVE_THRESH_MEAN_C ? 89 const uchar* m = mean->data.ptr + i*mean->step; 98 if( mean != dst ) 99 cvReleaseMat( &mean );
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H A D | _cvkdtree.hpp | 91 accum_type mean = 0; local 93 mean += deref(ctor(*k), j); 94 mean /= last - first; 97 accum_type diff = accum_type(deref(ctor(*k), j)) - mean;
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/external/opencv/cxcore/src/ |
H A D | cxmean.cpp | 165 mean[0] = scale*(double)tmp##0 171 mean[0] = t0; \ 172 mean[1] = t1 179 mean[0] = t0; \ 180 mean[1] = t1; \ 181 mean[2] = t2 187 mean[0] = t0; \ 188 mean[1] = t1; \ 191 mean[2] = t0; \ 192 mean[ 384 CvScalar mean = {{0,0,0,0}}; local [all...] |
H A D | cxmeansdv.cpp | 314 mean[idx] = tmp = scale*(double)total##idx; \ 378 CvSize size, double* mean, double* sdv ), \ 379 (src, step, size, mean, sdv) ) \ 413 CvSize size, double* mean, double* sdv ), \ 414 (src, step, size, mean, sdv) ) \ 438 double* mean, double* sdv ) \ 473 int cn, int coi, double* mean, double* sdv )\ 498 CvSize size, double* mean, double* sdv ), \ 499 (src, step, mask, maskstep, size, mean, sdv))\ 533 CvSize size, double* mean, doubl 678 CvScalar mean = {{0,0,0,0}}; local [all...] |
H A D | _cxipp.h | 151 int maskStep, CvSize size, double* mean )) \ 155 int maskStep, CvSize size, double* mean )) \ 159 int maskStep, CvSize size, double* mean )) \ 163 int maskStep, CvSize size, double* mean )) 182 ( const srctype* img, int imgstep, CvSize size, double* mean, double* sdv ))\ 185 ( const srctype* img, int imgstep, CvSize size, double* mean, double* sdv ))\ 188 ( const srctype* img, int imgstep, CvSize size, double* mean, double* sdv ))\ 191 ( const srctype* img, int imgstep, CvSize size, double* mean, double* sdv ))\ 197 CvSize size, double* mean, double* sdv )) \ 201 CvSize size, double* mean, doubl [all...] |
/external/webkit/PerformanceTests/SunSpider/resources/ |
H A D | sunspider-analyze-results.js | 35 var mean = 0; variable 115 mean = total / count; 124 function standardDeviation(mean, items) 128 var delta = items[i] - mean; 137 stdDev = standardDeviation(mean, itemTotals["total"]); 176 function formatResult(meanWidth, mean, stdErr, n) 178 var meanString = mean.toFixed(1).toString(); 186 return meanString + "ms +/- " + ((tDist(n) * stdErr / mean) * 100).toFixed(1) + "%"; 207 var width = mean.toFixed(1).toString().length; 222 function resultLine(labelWidth, indent, label, meanWidth, mean, stdEr [all...] |
H A D | sunspider-compare-results.js | 177 var mean = total / count; 184 return mean; 187 function standardDeviation(mean, items) 191 var delta = items[i] - mean; 198 function computeStdDevs(mean, itemTotals, categoryStdDevs, categoryMeans, testStdDevsByCategory, testMeansByCategory) 200 var stdDev = standardDeviation(mean, itemTotals["total"]); 241 function formatMean(meanWidth, mean, stdErr, count) 243 var meanString = mean.toFixed(1).toString(); 248 var error = "+/- " + ((tDist(count) * stdErr / mean) * 100).toFixed(1) + "% "; 269 function computeMeanWidth(mean, categoryMean [all...] |
/external/opencv/ml/src/ |
H A D | mltestset.cpp | 65 CvMat* mean = NULL; local 107 CV_CALL( mean = cvCreateMat( 1, num_features, CV_32FC1 ) ); 108 CV_CALL( cvSetZero( mean ) ); 114 CV_CALL( cvRandMVNormal( mean, cov, *samples ) ); 165 cvReleaseMat( &mean );
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/external/srec/srec/cfront/ |
H A D | wav_acc.c | 105 float mean; local 135 mean = ((float)ws->sum + (float)ws->sum2 * OVERFLOW_MASK) / ws->nsam; 137 *dc_offset = (int) mean; 139 / (float)ws->nsam) - (mean * mean); 233 /* the mean to be around zero anyway */
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/external/srec/srec/clib/ |
H A D | specnorm.c | 54 spec->running_total += spec_val - spec->mean; 55 spec->running_total_devn += (spec_val - spec->mean) 56 * (spec_val - spec->mean); 165 /* Calculate the mean and standard deviation 170 log_report("old mean= %d, ", spec->mean); 181 spec->mean += (spec->running_total + spec->mean_count / 2) 184 spec->mean += (spec->running_total - spec->mean_count / 2) 190 log_report("new mean= %d\n", spec->mean); [all...] |
/external/opencv/cvaux/src/ |
H A D | cvbgfg_gaussmix.cpp | 120 //Rw is the learning rate for weight and Rg is leaning rate for mean and variance 131 //u[n+1] = u[n] + Rg*(x[n+1] - u[n]) mean value Sg is sum n values of g 207 bg_model->g_point[n].g_values[0].mean[m] = (unsigned char)first_frame->imageData[p + m]; 215 bg_model->g_point[n].g_values[k].mean[m] = 0; 388 double d = g_point->g_values[k].mean[m]- src_pixel[m]; 419 double d = g_point->g_values[k].mean[m]- src_pixel[m]; 449 const double tmpDiff = src_pixel[m] - g_point->g_values[k].mean[m]; 450 g_point->g_values[k].mean[m] = g_point->g_values[k].mean[m] + 480 const double tmpDiff = src_pixel[m] - g_point->g_values[k].mean[ [all...] |
/external/eclipse-basebuilder/basebuilder-3.6.2/org.eclipse.releng.basebuilder/plugins/org.eclipse.test.performance.ui/src/org/eclipse/test/internal/performance/results/db/ |
H A D | ConfigResults.java | 381 * <li>1: mean of values</li> 399 * <li>1: mean of values</li> 418 * <li>1: mean of values</li> 427 double mean=0, stddev=0, variation=0; 430 mean = 0.0; 438 mean += value; 445 mean += value; 452 mean /= count; 454 stddev += Math.pow(values[i] - mean, 2); 457 variation = stddev / mean; [all...] |
/external/srec/srec/include/ |
H A D | specnorm.h | 65 int mean; member in struct:__anon12456
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/external/webp/src/utils/ |
H A D | filters.c | 172 int mean = p[0]; local 174 const int diff0 = SDIFF(p[i], mean); 184 mean = (3 * mean + p[i] + 2) >> 2;
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/external/svox/pico/lib/ |
H A D | picocep.c | 967 picoos_int32 mean, ivar; local 1018 mean = getFromPdf(pdf, vecstart, cepnum, PICOCEP_WANTMEAN, 1020 prev_WUm = cep->WUm[i] = mean << 1; /* multiply mean by 2 (2 used to be first entry of x) */ 1030 mean = getFromPdf(pdf, vecstart, cepnum, PICOCEP_WANTMEAN, 1032 if (mean != 0) { 1033 cep->WUm[i] += x[j] * mean; 1044 mean = getFromPdf(pdf, vecstart, cepnum, PICOCEP_WANTMEAN, 1046 if (mean != 0) { 1047 cep->WUm[i] += x[numd + j] * mean; 1139 picoos_int32 mean = 0, ivar = 0; local 1311 picoos_int32 mean, ivar; local [all...] |
/external/v8/benchmarks/ |
H A D | base.js | 56 // mean computation. 147 // Computes the geometric mean of a set of numbers. 178 var mean = BenchmarkSuite.GeometricMean(this.results); 179 var score = this.reference / mean;
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/external/icu4c/test/perf/perldriver/ |
H A D | Output.pm | 19 my @timetypes = ("mean per op", "error per op", "events", "per event"); 50 my $mean = $value->getMean; 53 if($mean > 0) { 60 print HTML formatPercent(2, $mean); 62 print HTML formatNumber(2, $mult, $mean); 110 printLeg("<a name=\"meanop_$header\">$header /op</a> - mean time and error for $header per $operationIs"); 115 printLeg("<a name=\"mean_op_$i\">ratio $i /op</a> - ratio and error of per $operationIs time, calculated as: (($headers[0] - $headers[$i])/$headers[$i])*100%, mean value"); 124 printLeg("<a name=\"mean_ev_$header\">$header /ev</a> - mean time and error for $header per $eventIs"); 128 printLeg("<a name=\"mean_ev_$i\">ratio $i /ev</a> - ratio and error of per $eventIs time, calculated as: (($headers[0] - $headers[$i])/$headers[$i])*100%, mean value"); 273 print HTML "<tr><th class=\"testName\">test name</th><th class=\"testName\">interesting arguments</th><th class=\"testName\">iterations</th><th class=\"testName\">operations</th><th class=\"testName\">mean tim [all...] |
H A D | Dataset.pm | 28 $self->{_mean} = $stats->mean(); 56 # Return the mean. 70 # mean+/-error. The new Dataset has no data points. 88 # mean+/-error. The new Dataset has no data points. 101 # mean+/-error. The new Dataset has no data points.
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/external/libvorbis/vq/ |
H A D | metrics.c | 26 mean and mean squared amplitude 27 mean and mean squared error 28 mean and mean squared error (per sample) by entry 95 float min=-1.f,max=-1.f,mean=0.f,meansq=0.f; local 98 /* minimum, maximum, mean, ms cell spacing */ 113 mean+=sqrt(localmin); 121 fprintf(stderr,"\tmean closest side spacing: %g\n",mean/tota [all...] |
/external/antlr/antlr-3.4/runtime/Ruby/lib/antlr3/ |
H A D | profile.rb | 86 mean = average 87 inject( 0.0 ) { |t, i| t + ( i - mean )**2 } / ( length - 1 ) 172 mean, stdev = '%4.2f' % set.average, '%4.2f' % set.standard_deviation 178 report << "| %-66s | %7s |\n" % [ "Average k", mean ]
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/external/blktrace/btt/ |
H A D | output.c | 324 double mean; member in struct:o_seek_info 353 "Average", sip->nseeks, sip->mean / sip->nseeks, 393 double mean; local 403 mean = seeki_mean(handle); 408 make_dev_hdr(dev_info, 15, dip, 1), nseeks, mean, 423 nseeks, mean, median, 431 seek_info.mean += (nseeks * mean);
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/external/opencv/cv/include/ |
H A D | cvcompat.h | 128 CvScalar mean = cvAvg( image, mask ); local 129 return mean.val[0]; 139 CV_INLINE void cvMean_StdDev( const CvArr* image, double* mean, double* sdv, argument 145 if( mean ) 146 *mean = _mean.val[0]; 352 #define cvMean_StdDevMask(img,mask,mean,sdv) cvMean_StdDev(img,mean,sdv,mask)
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