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#!/usr/bin/env python3
# -*- coding: utf-8 -*-
import argparse
import numpy as np
import matplotlib.pyplot as plt
import scipy.fftpack
import pqf
SAMPLES = pqf.frame_sz
RUNS = 3
SAMPLERATE = 44100
def show_proto():
proto = pqf.prototype()
fig = plt.figure()
yf = scipy.fftpack.fft(proto[:len(proto)])
fig.add_subplot(111).plot(10 * np.log10(np.abs(yf[:len(proto)//2])))
fig.add_subplot(222).plot(proto)
plt.show()
def do_an(ctx, time, data, shift):
data_slice = data[shift : SAMPLES + shift]
time_slice = time[shift : SAMPLES + shift]
res = ctx.do(data_slice);
fig = plt.figure()
a = fig.add_subplot(111)
a.plot(time_slice, res)
a.set_title("output")
b = fig.add_subplot(222)
b.plot(time_slice, data_slice)
b.set_title("input");
plt.show()
def process_freq(freq):
ctx = pqf.AnalyzeCtx()
time = np.arange(0, SAMPLES * RUNS, 1)
amplitude = 0.01 * np.sin(2 * np.pi * freq * time / SAMPLERATE).astype(np.float32)
do_an(ctx, time, amplitude, 0);
do_an(ctx, time, amplitude, SAMPLES);
def main():
parser = argparse.ArgumentParser()
parser.add_argument('--freq', type=int, help="generate sine with given frequency", action='store')
parser.add_argument('--proto', help="show filter prototype", action='store_true')
args = parser.parse_args()
if (args.proto):
show_proto()
else:
process_freq(args.freq)
if __name__ == "__main__":
main()
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