def goDTW3():
# errors
nt = 501
ns = 101
lw = 1
uo = 20
bg = 10
#e = makeErrorTest1(nt,ns,uo,bg,lw)
e = makeErrorTest2(nt,ns,uo,bg,5,0)
st = Sampling(nt,1,0)
ss = Sampling(ns,1,0)
# warping
rmax = 1.5
rmin = -1.5
dw = DynamicWarpingWT(ns,1)
for ir in range(3):
dr = 0.01*pow(10,ir)
nr = int(floor((rmax-rmin)/dr)) + 1
sr = Sampling(nr,dr,rmin)
u = dw.findShiftsX(e,sr,uo)
#es = esum(e,u)
print 'dr= ',dr
print 'nr= ',nr
#print 'esum= ',es,'\n'
plotMatrix(etran(e),st,ss,u=u,title='dr= '+str(dr)+', rmin='+str(rmin)+', rmax='+str(rmax),haxis="time samples",vaxis="shift samples")#,slides='etest'+str(ir+1))
# plotting
plotMatrix(etran(e),st,ss,haxis="time samples",vaxis="shift samples",title="errors")#,slides='etest0')
def goDTWR(nf,ng,f0,f,g): nl = ng-nf+1 dr = 0.5 dt = 0.01 dst = dt sf = Sampling(nf,dt,0.0) sg = Sampling(ng,dt,0.0) #guess g0 sl = Sampling(nl,dt,0.0) rmin = -1.0 rmax = 1.0 print 'kmax=',int(ceil(rmax/dr)) print 'kmin=',int(floor(rmin/dr)) dw = DynamicWarpingWT(nl,rmin,rmax,dr) e = dw.computeErrors(f,g) u = dw.findShiftsR(e) h = dw.applyShifts(u,f) u = mul(u,dt) sh = Sampling(len(h),dt,u[0]) plotu(u) plotSequences(g,f,sg,sf) plotSequences(g,h,sg,sh) plotMatrix(etran(e),sf,sl) plotMatrix(etran(e),sf,sl,u=u)
def goDTW1(n1,n2,f0,dt,rmsNoise,maxStrain,g,f): vrmin = 0.001# minimum velocity ratio v*/v (>=0.5) vrmax = 2.00 # maximum velocity ratio v*/v (<infinity) dvrmin = 0.001# minimum change of velocity (>=0.0) dvrmax = 2.00 # maximum change of velocity (<=2.0) dvr = 0.50 # percent velocity change fr,ds,kmin,kmax,jmin,jmax = paramDTW(vrmin,vrmax,dvrmin,dvrmax,dvr) nl = 1+fr*(n2-n1) dst = dt/fr sf = Sampling(n1,dt,0.0) sg = Sampling(n2,dt,0.0) #guess g0 sl = Sampling(nl,dst,0.0) #jmin,jmax = 0,0 #kmin,kmax = 0,0 sw = Stopwatch() dw = DynamicWarpingWT(nl,fr,kmin,kmax,jmin,jmax) sw.start() e = dw.computeErrors(f,g) d = dw.accumulate(e) u = dw.findShifts(d) #u = dw.findShiftsFast(f,g) sw.stop() print 'dtw done at '+str(sw.time())+' seconds' h = dw.applyShifts(u,f) u = mul(u,dt) sh = Sampling(len(h),dt,u[0])
def goDTW2(n1,n2,f0,dt,rmsNoise,maxStrain,g,f):
#for uo
fr = 2
kmin = -2
kmax = 2
rmin = -1.5
rmax = 1.5
nl = 1+fr*(n2-n1)
dst = dt/fr
sf = Sampling(n1,dt,0.0)
sl = Sampling(nl,dst,0.0)
dw = DynamicWarpingWT(nl,fr,kmin,kmax)
uoi,udmin = dw.finduo(f,g)
uo = uoi[0]
#uo = 350
print 'uo= ',uo,'\n'
e = dw.computeErrors(f,g)
d = dw.accumulate(e)
for ir in range(4):
dr = 0.001*pow(10,ir)
nr = int(floor((rmax-rmin)/dr)) + 1
sr = Sampling(nr,dr,rmin)
u = dw.findShiftsX(e,sr,uo)
u = mul(u,dt)
dmin = dw.findShiftsX(e,sr,uo,True)
print 'dr= ',dr
print 'nr= ',nr
print 'esum= ',dmin[0],'\n'
#plotMatrix(etran(d),sf,sl)
plotMatrix(etran(d),sf,sl,u=u,title='dr= '+str(dr))
