diff --git a/usedMcode/callAll.m b/usedMcode/callAll.m
index fee6808..42e8ade 100644
--- a/usedMcode/callAll.m
+++ b/usedMcode/callAll.m
@@ -80,18 +80,18 @@
         [meanAccurancysEMG(j),maxCEMG(j,:),cmScaledEMG(j,:,:)]=svmEciton(savePath,'EMG',k,maxExpC,maxPerClass);
         [meanAccurancysEEG(j),maxCEEG(j,:),cmScaledEEG(j,:,:)]=svmEciton(savePath,'EEG',k,maxExpC,maxPerClass);
         [meanAccurancysLF(j),maxCLF(j,:),cmScaledLF(j,:,:)]=svmEciton(savePath,'LF',k,maxExpC,maxPerClass);
-        [correlationEMGkin(j,:),maxRidgeParamIndexEMGkin(j,:,:)]=ridgeCV(savePath,'EMG','kin',k,ridgeParams);
-        [correlationEEGkin(j,:),maxRidgeParamIndexEEGkin(j,:,:)]=ridgeCV(savePath,'EEG','kin',k,ridgeParams);
-        [correlationLFkin(j,:),maxRidgeParamIndexLFkin(j,:,:)]=ridgeCV(savePath,'LF','kin',k,ridgeParams);
-        [correlationEMGautoenc(j,:),maxRidgeParamIndexEMGautoenc(j,:,:)]=ridgeCV(savePath,'EMG','Autoenc',k,ridgeParams);
-        [correlationEEGautoenc(j,:),maxRidgeParamIndexEEGautoenc(j,:,:)]=ridgeCV(savePath,'EEG','Autoenc',k,ridgeParams);
-        [correlationLFautoenc(j,:),maxRidgeParamIndexLFautoenc(j,:,:)]=ridgeCV(savePath,'LF','Autoenc',k,ridgeParams);
-        [correlationEMGpca(j,:),maxRidgeParamIndexEMGpca(j,:,:)]=ridgeCV(savePath,'EMG','PCA',k,ridgeParams);
-        [correlationEEGpca(j,:),maxRidgeParamIndexEEGpca(j,:,:)]=ridgeCV(savePath,'EEG','PCA',k,ridgeParams);
-        [correlationLFpca(j,:),maxRidgeParamIndexLFpca(j,:,:)]=ridgeCV(savePath,'LF','PCA',k,ridgeParams);
-        [correlationEMGnnmf(j,:),maxRidgeParamIndexEMGnnmf(j,:,:)]=ridgeCV(savePath,'EMG','NNMF',k,ridgeParams);
-        [correlationEEGnnmf(j,:),maxRidgeParamIndexEEGnnmf(j,:,:)]=ridgeCV(savePath,'EEG','NNMF',k,ridgeParams);
-        [correlationLFnnmf(j,:),maxRidgeParamIndexLFnnmf(j,:,:)]=ridgeCV(savePath,'LF','NNMF',k,ridgeParams);
+        [correlationEMGkin(j,:),maxRidgeParamIndexEMGkin(j,:,:)]=ridgeCV(savePath,'EMG','kin',k,ridgeParams,shiftEMG,shiftEEG);
+        [correlationEEGkin(j,:),maxRidgeParamIndexEEGkin(j,:,:)]=ridgeCV(savePath,'EEG','kin',k,ridgeParams,shiftEMG,shiftEEG);
+        [correlationLFkin(j,:),maxRidgeParamIndexLFkin(j,:,:)]=ridgeCV(savePath,'LF','kin',k,ridgeParams,shiftEMG,shiftEEG);
+        [correlationEMGautoenc(j,:),maxRidgeParamIndexEMGautoenc(j,:,:)]=ridgeCV(savePath,'EMG','Autoenc',k,ridgeParams,shiftEMG,shiftEEG);
+        [correlationEEGautoenc(j,:),maxRidgeParamIndexEEGautoenc(j,:,:)]=ridgeCV(savePath,'EEG','Autoenc',k,ridgeParams,shiftEMG,shiftEEG);
+        [correlationLFautoenc(j,:),maxRidgeParamIndexLFautoenc(j,:,:)]=ridgeCV(savePath,'LF','Autoenc',k,ridgeParams,shiftEMG,shiftEEG);
+        [correlationEMGpca(j,:),maxRidgeParamIndexEMGpca(j,:,:)]=ridgeCV(savePath,'EMG','PCA',k,ridgeParams,shiftEMG,shiftEEG);
+        [correlationEEGpca(j,:),maxRidgeParamIndexEEGpca(j,:,:)]=ridgeCV(savePath,'EEG','PCA',k,ridgeParams,shiftEMG,shiftEEG);
+        [correlationLFpca(j,:),maxRidgeParamIndexLFpca(j,:,:)]=ridgeCV(savePath,'LF','PCA',k,ridgeParams,shiftEMG,shiftEEG);
+        [correlationEMGnnmf(j,:),maxRidgeParamIndexEMGnnmf(j,:,:)]=ridgeCV(savePath,'EMG','NNMF',k,ridgeParams,shiftEMG,shiftEEG);
+        [correlationEEGnnmf(j,:),maxRidgeParamIndexEEGnnmf(j,:,:)]=ridgeCV(savePath,'EEG','NNMF',k,ridgeParams,shiftEMG,shiftEEG);
+        [correlationLFnnmf(j,:),maxRidgeParamIndexLFnnmf(j,:,:)]=ridgeCV(savePath,'LF','NNMF',k,ridgeParams,shiftEMG,shiftEEG);
         fprintf('%s%i finished %s\n',subject,number,datestr(datetime('now')))
     end
 
@@ -105,18 +105,18 @@
     [meanAccurancysEMG,maxCEMG,cmScaledEMG(:,:)]=svmEciton(savePath,'EMG',k,maxExpC,maxPerClass);
     [meanAccurancysEEG,maxCEEG,cmScaledEEG(:,:)]=svmEciton(savePath,'EEG',k,maxExpC,maxPerClass);
     [meanAccurancysLF,maxCLF,cmScaledLF(:,:)]=svmEciton(savePath,'LF',k,maxExpC,maxPerClass);
-    [correlationEMGkin,maxRidgeParamIndexEMGkin(:,:)]=ridgeCV(savePath,'EMG','kin',k,ridgeParams);
-    [correlationEEGkin,maxRidgeParamIndexEEGkin(:,:)]=ridgeCV(savePath,'EEG','kin',k,ridgeParams);
-    [correlationLFkin,maxRidgeParamIndexLFkin(:,:)]=ridgeCV(savePath,'LF','kin',k,ridgeParams);
-    [correlationEMGautoenc,maxRidgeParamIndexEMGautoenc(:,:)]=ridgeCV(savePath,'EMG','Autoenc',k,ridgeParams);
-    [correlationEEGautoenc,maxRidgeParamIndexEEGautoenc(:,:)]=ridgeCV(savePath,'EEG','Autoenc',k,ridgeParams);
-    [correlationLFautoenc,maxRidgeParamIndexLFautoenc(:,:)]=ridgeCV(savePath,'LF','Autoenc',k,ridgeParams);
-    [correlationEMGpca,maxRidgeParamIndexEMGpca(:,:)]=ridgeCV(savePath,'EMG','PCA',k,ridgeParams);
-    [correlationEEGpca,maxRidgeParamIndexEEGpca(:,:)]=ridgeCV(savePath,'EEG','PCA',k,ridgeParams);
-    [correlationLFpca,maxRidgeParamIndexLFpca(:,:)]=ridgeCV(savePath,'LF','PCA',k,ridgeParams);
-    [correlationEMGnnmf,maxRidgeParamIndexEMGnnmf(:,:)]=ridgeCV(savePath,'EMG','NNMF',k,ridgeParams);
-    [correlationEEGnnmf,maxRidgeParamIndexEEGnnmf(:,:)]=ridgeCV(savePath,'EEG','NNMF',k,ridgeParams);
-    [correlationLFnnmf,maxRidgeParamIndexLFnnmf(:,:)]=ridgeCV(savePath,'LF','NNMF',k,ridgeParams);
+    [correlationEMGkin,maxRidgeParamIndexEMGkin(:,:)]=ridgeCV(savePath,'EMG','kin',k,ridgeParams,shiftEMG,shiftEEG);
+    [correlationEEGkin,maxRidgeParamIndexEEGkin(:,:)]=ridgeCV(savePath,'EEG','kin',k,ridgeParams,shiftEMG,shiftEEG);
+    [correlationLFkin,maxRidgeParamIndexLFkin(:,:)]=ridgeCV(savePath,'LF','kin',k,ridgeParams,shiftEMG,shiftEEG);
+    [correlationEMGautoenc,maxRidgeParamIndexEMGautoenc(:,:)]=ridgeCV(savePath,'EMG','Autoenc',k,ridgeParams,shiftEMG,shiftEEG);
+    [correlationEEGautoenc,maxRidgeParamIndexEEGautoenc(:,:)]=ridgeCV(savePath,'EEG','Autoenc',k,ridgeParams,shiftEMG,shiftEEG);
+    [correlationLFautoenc,maxRidgeParamIndexLFautoenc(:,:)]=ridgeCV(savePath,'LF','Autoenc',k,ridgeParams,shiftEMG,shiftEEG);
+    [correlationEMGpca,maxRidgeParamIndexEMGpca(:,:)]=ridgeCV(savePath,'EMG','PCA',k,ridgeParams,shiftEMG,shiftEEG);
+    [correlationEEGpca,maxRidgeParamIndexEEGpca(:,:)]=ridgeCV(savePath,'EEG','PCA',k,ridgeParams,shiftEMG,shiftEEG);
+    [correlationLFpca,maxRidgeParamIndexLFpca(:,:)]=ridgeCV(savePath,'LF','PCA',k,ridgeParams,shiftEMG,shiftEEG);
+    [correlationEMGnnmf,maxRidgeParamIndexEMGnnmf(:,:)]=ridgeCV(savePath,'EMG','NNMF',k,ridgeParams,shiftEMG,shiftEEG);
+    [correlationEEGnnmf,maxRidgeParamIndexEEGnnmf(:,:)]=ridgeCV(savePath,'EEG','NNMF',k,ridgeParams,shiftEMG,shiftEEG);
+    [correlationLFnnmf,maxRidgeParamIndexLFnnmf(:,:)]=ridgeCV(savePath,'LF','NNMF',k,ridgeParams,shiftEMG,shiftEEG);
     fprintf('%s%i finished %s\n',subject,number,datestr(datetime('now')))
     
     save(strcat(pathToFile,sprintf('../matlabData/%s_call%s%i-%s.mat',datestr(datetime('now')),subject,number,name)));
diff --git a/usedMcode/ridgeCV.m b/usedMcode/ridgeCV.m
index a9aea0c..63a1e50 100644
--- a/usedMcode/ridgeCV.m
+++ b/usedMcode/ridgeCV.m
@@ -1,13 +1,16 @@
-function [correlation,maxRidgeParamIndex]=ridgeCV(savePath,data,goal,k,ridgeParams)
+function [correlation,maxRidgeParamIndex]=ridgeCV(savePath,data,goal,k,ridgeParams,shiftEMG,shiftEEG)
     load(savePath);
     clear classification;
     
     if strcmp(data,'EEG')
         trainingData=trainingDataEEG;
+        factor=shiftEEG/shiftEMG;
     elseif strcmp(data,'EMG')
         trainingData=trainingDataEMG;
+        factor=1;
     elseif strcmp(data,'LF')
         trainingData=trainingDataEEGlf;
+        factor=shiftEEG/shiftEMG;
     else
         error('only EEG, EMG and LF are valid inputs for data');
     end
@@ -17,13 +20,13 @@
     clear trainingDataEMG;
     
     if strcmp(goal,'Autoenc')
-        predicted=synergiesAutoenc;
+        predicted=shiftingMean(synergiesAutoenc,factor);
     elseif strcmp(goal,'PCA')
-        predicted=synergiesPCA;
+        predicted=shiftingMean(synergiesPCA,factor);
     elseif strcmp(goal,'NNMF')
-        predicted=synergiesNNMF;
+        predicted=shiftingMean(synergiesNNMF,factor);
     elseif strcmp(goal,'kin')
-        predicted=kinematics;
+        predicted=shiftingMean(kinematics,factor);
     else
         error('only kin, Autoenc, PCA and NNMF are valid inputs for goal');
     end
@@ -46,7 +49,7 @@
             remainingData=trainingData(mod(randMap,k)~=i-1,:);
             remainingPred=pred(mod(randMap,k)~=i-1);
 
-            [coeffs,maxRidgeParamIndex(j,i)]=kFoldRidge(remainingData,remainingPred,k,ridgeParams);
+            [coeffs,maxRidgeParamIndex(j,i)]=kFoldRidge(remainingData,remainingPred,k,ridgeParams,shiftEMG,shiftEEG);
 
             correlations(i)=ridgeCorrelation(leaveData,leavePerd,coeffs);
         end
diff --git a/usedMcode/shiftingMean.m b/usedMcode/shiftingMean.m
new file mode 100644
index 0000000..91c119b
--- /dev/null
+++ b/usedMcode/shiftingMean.m
@@ -0,0 +1,10 @@
+function [ output ] = shiftingMean( data,factor )
+%shiftingMean downsampling by taking the mean
+%   taking the mean of $factor data as new datum
+    dataSize=size(data);
+    output=zeros([fix(ceil(dataSize(1)/factor)),dataSize(2:end)]);
+    for i=1:size(output,1)
+        output(i,:)=mean(data((i-1)*factor+1:min(i*factor,dataSize(1)),:),1);
+    end
+end
+