#!/usr/bin/python # Copyright (C) 2012 The Android Open Source Project # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. import numpy as np import scipy as sp import scipy.fftpack as fft import scipy.linalg as la import math def calc_thd(data, signalFrequency, samplingRate, frequencyMargin): # only care about magnitude fftData = abs(fft.fft(data * np.hanning(len(data)))) fftData[0] = 0 # ignore DC fftLen = len(fftData)/2 baseI = fftLen * signalFrequency * 2 / samplingRate iMargain = baseI * frequencyMargin baseSignalLoc = baseI - iMargain / 2 + \ np.argmax(fftData[baseI - iMargain /2: baseI + iMargain/2]) peakLoc = np.argmax(fftData[:fftLen]) if peakLoc != baseSignalLoc: print "**ERROR Wrong peak signal", peakLoc, baseSignalLoc return 1.0 print baseI, baseSignalLoc P0 = math.pow(la.norm(fftData[baseSignalLoc - iMargain/2: baseSignalLoc + iMargain/2]), 2) i = baseSignalLoc * 2 Pothers = 0.0 while i < fftLen: Pothers += math.pow(la.norm(fftData[i - iMargain/2: i + iMargain/2]), 2) i += baseSignalLoc print "P0", P0, "Pothers", Pothers return Pothers / P0 # test code if __name__=="__main__": samplingRate = 44100 durationInSec = 10 signalFrequency = 1000 samples = float(samplingRate) * float(durationInSec) index = np.linspace(0.0, samples, num=samples, endpoint=False) time = index / samplingRate multiplier = 2.0 * np.pi * signalFrequency / float(samplingRate) data = np.sin(index * multiplier) thd = calc_thd(data, signalFrequency, samplingRate, 0.02) print "THD", thd