Searched refs:correlated (Results 1 – 25 of 57) sorted by relevance
123
292 double[] correlated = new double[mean.length];293 for (int i = 0; i < correlated.length; ++i) {294 correlated[i] = mean[i];296 correlated[i] += root.getEntry(i, j) * normalized[j];300 return correlated;
130 FDKmemclear(pPnsInterChannelData->correlated, (8 * 16) * sizeof(UCHAR)); in CPns_ResetData()171 pInterChannelData->correlated[pns_band] = (outofphase) ? 3 : 1; in CPns_SetCorrelation()187 return (pInterChannelData->correlated[pns_band] & 0x01) ? 1 : 0; in CPns_IsCorrelated()203 return (pInterChannelData->correlated[pns_band] & 0x02) ? 1 : 0; in CPns_IsOutOfPhase()
111 UCHAR correlated[NO_OFBANDS]; member
1 ; Test that when a pass like correlated-propagation populates an analysis such7 ; RUN: -passes='cgscc(inline,function(correlated-propagation))' \
1 ; RUN: opt -correlated-propagation -S %s | FileCheck %s2 ; RUN: opt -passes=correlated-propagation -S %s | FileCheck %s
1 ; RUN: opt -S < %s -correlated-propagation | FileCheck %s
2 ; RUN: opt < %s -correlated-propagation -S | FileCheck %s3 ; RUN: opt < %s -passes="correlated-propagation" -S | FileCheck %s
2 ; RUN: opt -correlated-propagation -S -o - %s | FileCheck %s
1 ; RUN: opt < %s -correlated-propagation -S | FileCheck %s
1 ; RUN: opt -correlated-propagation -S < %s | FileCheck %s
2 ; RUN: opt -correlated-propagation -S %s | FileCheck %s
15 including the 2D strongly correlated Gaussian and the rough well energy function,17 - `neural_nets.py`: The neural net for learning the kernel on the 2D strongly correlated example.
37 UWORD8 correlated[PNS_BAND_FLAGS_SIZE]; member
1 ; RUN: opt < %s -correlated-propagation
1 ; RUN: opt -correlated-propagation -S %s | FileCheck %s
2 ; RUN: opt -jump-threading -correlated-propagation %s -S | FileCheck %s