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Diffstat (limited to 'DSP/PythonWrapper/example.py')
-rw-r--r-- | DSP/PythonWrapper/example.py | 79 |
1 files changed, 79 insertions, 0 deletions
diff --git a/DSP/PythonWrapper/example.py b/DSP/PythonWrapper/example.py new file mode 100644 index 0000000..80fd87a --- /dev/null +++ b/DSP/PythonWrapper/example.py @@ -0,0 +1,79 @@ +import cmsisdsp as dsp +import numpy as np +from scipy import signal +from pylab import figure, clf, plot, xlabel, ylabel, xlim, ylim, title, grid, axes, show,semilogx, semilogy +# Data file from https://www.physionet.org/pn3/ecgiddb/Person_87/rec_2.dat + +def q31sat(x): + if x > 0x7FFFFFFF: + return(np.int32(0x7FFFFFFF)) + elif x < -0x80000000: + return(np.int32(0x80000000)) + else: + return(np.int32(x)) + +q31satV=np.vectorize(q31sat) + +def toQ31(x): + return(q31satV(np.round(x * (1<<31)))) + +def Q31toF32(x): + return(1.0*x / 2**31) + +filename = 'rec_2.dat' + +f = open(filename,"r") +sig = np.fromfile(f, dtype=np.int16) +f.closed + +sig = 1.0*sig / (1 << 12) + + +p0 = np.exp(1j*0.05) * 0.98 +p1 = np.exp(1j*0.25) * 0.9 +p2 = np.exp(1j*0.45) * 0.97 + +z0 = np.exp(1j*0.02) +z1 = np.exp(1j*0.65) +z2 = np.exp(1j*1.0) + +g = 0.02 + +nb = 300 + +sos = signal.zpk2sos( + [z0,np.conj(z0),z1,np.conj(z1),z2,np.conj(z2)] + ,[p0, np.conj(p0),p1, np.conj(p1),p2, np.conj(p2)] + ,g) + +res=signal.sosfilt(sos,sig) +figure() +plot(sig[1:nb]) +figure() +plot(res[1:nb]) + + + + +biquadQ31 = dsp.arm_biquad_casd_df1_inst_q31() +numStages=3 +state=np.zeros(numStages*4) +# For use in CMSIS, denominator coefs must be negated +# and first a0 coef wihich is always 1 must be removed +coefs=np.reshape(np.hstack((sos[:,:3],-sos[:,4:])),15) +coefs = coefs / 4.0 +coefsQ31 = toQ31(coefs) +postshift = 2 +dsp.arm_biquad_cascade_df1_init_q31(biquadQ31,numStages,coefsQ31,state,postshift) +sigQ31=toQ31(sig) +nbSamples=sigQ31.shape[0] +# Here we demonstrate how we can process a long sequence of samples per block +# and thus check that the state of the biquad is well updated and preserved +# between the calls. +half = int(round(nbSamples / 2)) +res2a=dsp.arm_biquad_cascade_df1_q31(biquadQ31,sigQ31[1:half]) +res2b=dsp.arm_biquad_cascade_df1_q31(biquadQ31,sigQ31[half+1:nbSamples]) +res2=Q31toF32(np.hstack((res2a,res2b))) +figure() +plot(res2[1:nb]) +show()#
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