def extrahierePeaks(self,starttime,endtime,timescale,nitems):
        print "\n",time.ctime(),": Binary File will be read and extracted..."
        f_p_1 = open('../../../peakdetektor1.hex','rb')
        f_p_2 = open('../../../peakdetektor2.hex','rb')
        f_p_3 = open('../../../peakdetektor3.hex','rb')
        f_pv_1 = open('../../../peakband1.hex','rb')
        f_pv_2 = open('../../../peakband2.hex','rb')
        f_pv_3 = open('../../../peakband3.hex','rb')
        a_p_1 = numpy.fromfile(f_p_1,dtype='b')
        a_p_2 = numpy.fromfile(f_p_2,dtype='b')
        a_p_3 = numpy.fromfile(f_p_3,dtype='b')
        a_pv_1 = numpy.fromfile(f_pv_1,dtype=numpy.complex64)
        a_pv_2 = numpy.fromfile(f_pv_2,dtype=numpy.complex64)
        a_pv_3 = numpy.fromfile(f_pv_3,dtype=numpy.complex64)
        """There is a Bug which lets the arrays not to be the same shape size."""     
        upper_limit = numpy.amin([len(a_pv_1),len(a_pv_2),len(a_pv_3)])
        a_p_1.resize((upper_limit,))
        a_p_2.resize((upper_limit,))
        a_p_3.resize((upper_limit,))
        a_pv_1.resize((upper_limit,))
        a_pv_2.resize((upper_limit,))
        a_pv_3.resize((upper_limit,))
        criterion = (a_p_1==1) | (a_p_2==1) | (a_p_3==1)
        a_time = numpy.array(numpy.arange(0.0,upper_limit*timescale,
                                          timescale),dtype='f')
        """Is the data still saved at the last analysis ?"""
        print "a_time ist",a_time
        print "len(a_time[criterion]) ist",len(a_time[criterion])
        print "a_time[criterion] ist",a_time[criterion]
        print "a_p_1 ist",a_p_1
        print "len(a_p_1[criterion]) ist",len(a_p_1[criterion])
        print "a_p_1[criterion] ist",a_p_1[criterion]
        print "a_pv_1 ist",a_pv_1
        print "len(a_pv_1[criterion]) ist",len(a_pv_1[criterion])
        print "a_pv_1[criterion] ist",a_pv_1[criterion]
        try:
            f_input = open('../../../peakswerteundzeit.dat','rb')
            a_time_old,a_p_1_old,a_p_2_old,\
                a_p_3_old,a_pv_1_old,a_pv_2_old,\
                a_pv_3_old = cPickle.load(f_input)
            if len(a_time_old) == len(a_time[criterion]):
                print time.ctime(),"Data seems to be the same as the data before, therefore\n",\
                    "i do not save this data again.","\n...finished.\n"
            else:
                print time.ctime(),"...i am going to save the data ..."
                f_output = open('../../../peakswerteundzeit.dat','wb')
                cPickle.dump((a_time[criterion],
                              a_p_1[criterion],
                              a_p_2[criterion],
                              a_p_3[criterion],
                              a_pv_1[criterion],
                              a_pv_2[criterion],
                              a_pv_3[criterion]),f_output)
                f_output.close()
                print time.ctime(),"...finished!\n"
            f_input.close()
        except:
            print time.ctime(),"...i am going to save the data ..."
            f_output = open('../../../peakswerteundzeit.dat','wb')
            cPickle.dump((a_time[criterion],
                          a_p_1[criterion],
                          a_p_2[criterion],
                          a_p_3[criterion],
                          a_pv_1[criterion],
                          a_pv_2[criterion],
                          a_pv_3[criterion]),f_output)
            f_output.close()
            print time.ctime(),"...finished!\n"
        f_p_1.close()
        f_p_2.close()
        f_p_3.close()
        f_pv_1.close()
        f_pv_2.close()
        f_pv_3.close()