Searched refs:mean (Results 1 - 25 of 47) sorted by relevance

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/external/webrtc/src/common_audio/vad/
H A Dvad_gmm.h19 // 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,
H A Dvad_gmm.c25 // 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
/external/valgrind/main/VEX/test/
H A Drounderr.c43 /* 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
/external/opencv/cv/src/
H A Dcvadapthresh.cpp48 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 );
H A D_cvkdtree.hpp91 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;
/external/opencv/cxcore/src/
H A Dcxmean.cpp165 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
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H A Dcxmeansdv.cpp314 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
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H A D_cxipp.h151 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
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/external/webkit/PerformanceTests/SunSpider/resources/
H A Dsunspider-analyze-results.js35 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
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H A Dsunspider-compare-results.js177 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
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/external/opencv/ml/src/
H A Dmltestset.cpp65 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 );
/external/srec/srec/cfront/
H A Dwav_acc.c105 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 */
/external/srec/srec/clib/
H A Dspecnorm.c54 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);
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/external/opencv/cvaux/src/
H A Dcvbgfg_gaussmix.cpp120 //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[
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H A Dcvhmm1d.cpp442 // mu - pointer to the mean vector of the Gaussian pdf
474 // mu - two-dimensional pointer to the mean vector of the Gaussian pdf;
476 // the second dimension is indexed along the size of the mean vector
1044 /* zero mean and variance */
1066 CvVect32f mean = first_state[state].mu + mixture * vect_len;
1069 icvAddVector_32f( mean, vector, mean, vect_len );
/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 DConfigResults.java381 * <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;
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/external/srec/srec/include/
H A Dspecnorm.h65 int mean; member in struct:__anon11111
/external/svox/pico/lib/
H A Dpicocep.c967 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
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/external/v8/benchmarks/
H A Dbase.js56 // 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;
/external/icu4c/test/perf/perldriver/
H A DOutput.pm19 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
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H A DDataset.pm28 $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.
/external/antlr/antlr-3.4/runtime/Ruby/lib/antlr3/
H A Dprofile.rb86 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 ]
/external/blktrace/btt/
H A Doutput.c324 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);
/external/opencv/cv/include/
H A Dcvcompat.h128 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)
/external/linux-tools-perf/
H A Dbuiltin-stat.c203 double n, mean, M2; member in struct:stats
227 delta = val - stats->mean;
228 stats->mean += delta / stats->n;
229 stats->M2 += delta*(val - stats->mean);
234 return stats->mean;
246 * The std dev of the mean is related to the std dev by:

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