| /cts/apps/CtsVerifier/jni/audioquality/ |
| MeasureRms.h | 34 signal. In both cases, the mean of the entire signal is returned in
35 mean. */
38 float* mean, float* duration);
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| MeasureRms.cpp | 45 short mean; local
47 mean = (short)(0.5 + (sum / numSamples));
49 mean = (short)((sum / numSamples) - 0.5);
51 pcm[i] -= mean;
56 float* rms, float* stdRms, float* mean, float* duration) {
75 *mean = computeAndRemoveMean(pcm, numSamples);
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| /external/webrtc/src/common_audio/vad/main/source/ |
| vad_gmm.h | 26 * comes from a normal distribution with mean 'mean' and standard deviation 'std'.
30 * - mean : mean value in the statistical model, Q7
43 WebRtc_Word16 mean,
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| vad_gmm.c | 22 WebRtc_Word16 mean,
38 tmp16 = tmp16 - mean; // Q7 - Q7 = Q7
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| /external/opencv/cv/src/ |
| 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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| /cts/apps/CtsVerifier/src/com/android/cts/verifier/audioquality/experiments/ |
| BiasExperiment.java | 28 * It calculates the mean of the observed samples.
49 float mean = results[Native.MEASURE_RMS_MEAN]; local
50 if (mean < -TOLERANCE || mean > TOLERANCE) {
56 mean, TOLERANCE, rms, duration)); local
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| /external/opencv/cxcore/src/ |
| cxmean.cpp | 46 * Mean value over the region *
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;
384 CvScalar mean = {{0,0,0,0}}; local
[all...] |
| cxmeansdv.cpp | 45 * Mean and StdDev calculation *
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))
678 CvScalar mean = {{0,0,0,0}}; local
[all...] |
| _cxipp.h | 145 ///////////////////////////////////////// Mean //////////////////////////////////////////
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 ))
[all...] |
| /external/opencv/ml/src/ |
| 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 );
|
| /frameworks/base/media/libstagefright/codecs/amrwb/src/ |
| isf_extrapolation.cpp | 122 int16 coeff, mean, tmp, tmp2, tmp3; local
135 /* Mean of difference vector */
141 mean = amr_wb_round(L_tmp);
158 mean = shl_int16(mean, exp);
161 tmp2 = sub_int16(IsfDiff[i], mean);
162 tmp3 = sub_int16(IsfDiff[i - 2], mean);
171 tmp2 = sub_int16(IsfDiff[i], mean);
172 tmp3 = sub_int16(IsfDiff[i - 3], mean);
181 tmp2 = sub_int16(IsfDiff[i], mean);
[all...] |
| /external/webkit/PerformanceTests/SunSpider/resources/ |
| 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, stdErr
[all...] |
| 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, categoryMeans, testMeansByCategory
[all...] |
| /frameworks/base/include/cpustats/ |
| CentralTendencyStatistics.h | 36 // return the arithmetic mean of all samples so far
37 double mean() const { return mMean; } function in class:CentralTendencyStatistics
|
| /external/srec/srec/cfront/ |
| 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 */
|
| /external/srec/srec/clib/ |
| specnorm.c | 51 /* Mean calculations
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/webkit/LayoutTests/fast/url/script-tests/ |
| port.js | 19 // Unspecified port should mean always keep the port.
|
| /external/opencv/cvaux/src/ |
| 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[m]
[all...] |
| /external/webrtc/src/modules/audio_processing/aecm/main/matlab/matlab/ |
| calcStepSize.m | 82 %mdEVec = mean(abs(dEVec-dEOffset));
83 %mdEVec = mean(abs(dEVec-mean(dEVec)));
|
| AECMobile.m | 32 ySubBand(kk) = mean(afmicrophone(internalIndex:internalIndex+setupStruct.numInBand(kk)-1).^aecmStructNew.bandFactor);
33 xSubBand(kk) = mean(afTheFarEnd(internalIndex:internalIndex+setupStruct.numInBand(kk)-1).^aecmStructNew.bandFactor);
99 mseStored = mean(abs(aecmStructNew.enerEchoStored(setupStruct.currentBlock-xxx:setupStruct.currentBlock-1)-aecmStructNew.enerNear(setupStruct.currentBlock-xxx:setupStruct.currentBlock-1)));
100 mseLatest = mean(abs(aecmStructNew.enerEcho(setupStruct.currentBlock-xxx:setupStruct.currentBlock-1)-aecmStructNew.enerNear(setupStruct.currentBlock-xxx:setupStruct.currentBlock-1)));
128 aecmStructNew.delayLatestS(xxx+dxxx+1) = sum(sign(aecmStructNew.enerEcho(setupStruct.currentBlock-(yyy+dxxx-xxx)+1:setupStruct.currentBlock+xxx-dxxx)-mean(aecmStructNew.enerEcho(setupStruct.currentBlock-(yyy++dxxx-xxx)+1:setupStruct.currentBlock+xxx-dxxx))).*sign(aecmStructNew.enerNear(setupStruct.currentBlock-yyy-dxxx+1:setupStruct.currentBlock-dxxx)-mean(aecmStructNew.enerNear(setupStruct.currentBlock-yyy-dxxx+1:setupStruct.currentBlock-dxxx))));
202 thefmean = mean(thefilter(8:16));
259 stem(sign(aecmStructNew.enerNear(n100)-mean(aecmStructNew.enerNear(n100))))
260 title('Near End Energy Pattern (around mean value)')
262 stem(sign(aecmStructNew.enerEcho(n100)-mean(aecmStructNew.enerEcho(n100)))
[all...] |
| /external/srec/srec/include/ |
| specnorm.h | 65 int mean; member in struct:__anon11378
|
| /frameworks/base/media/libstagefright/codecs/amrwbenc/src/ |
| dtx.c | 570 Word16 tmp, mean, CN_dith, gain_diff; local
588 mean = 0;
591 mean = add(mean, st->log_en_hist[i]);
593 mean = (mean >> 3);
597 tmp = abs_s(sub(st->log_en_hist[i], mean));
|
| /external/svox/pico/lib/ |
| picocep.c | 967 picoos_int32 mean, ivar; local
1139 picoos_int32 mean = 0, ivar = 0; local
1311 picoos_int32 mean, ivar; local
[all...] |
| /external/strace/ |
| Android.mk | 22 # ARM (e.g. 4.5.1.8), but that would mean having to reapply all Android-specific
|
| /external/icu4c/test/perf/perldriver/ |
| 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 time (ns)</th><th class=\"testName\">error (ns)</th><th class=\"testName\">events</th></tr>\n"
[all...] |
