def test_square():
signal = SquareSignal(200)
duration = signal.period * 3
segment = signal.make_wave(duration, framerate=10000)
segment.plot()
decorate(xlabel='Time (s)')
wave = signal.make_wave(duration=0.5, framerate=10000)
wave.apodize()
spectrum = wave.make_spectrum()
spectrum.plot()
decorate(xlabel='Frequency (Hz)')
from thinkdsp import decorate
from thinkdsp import Sinusoid
from thinkdsp import normalize, unbias
from thinkdsp import SinSignal
from thinkdsp import SquareSignal
from thinkdsp import TriangleSignal
from thinkdsp import SawtoothSignal
import numpy as np
import matplotlib.pyplot as plt
wave = TriangleSignal(freq=440).make_wave(duration=0.5)
wave1 = SawtoothSignal(freq=440).make_wave(duration=0.5)
wave2 = SquareSignal(freq=440).make_wave(duration=0.5)
def filter_spectrum(spectrum):
spectrum.hs[1:] /= spectrum.fs[1:]
spectrum.hs[0] = 0
plt.subplot(311)
spectrum = wave.make_spectrum()
spectrum.plot(high=10000, color='gray')
filter_spectrum(spectrum)
spectrum.scale(440)
spectrum.plot(high=10000)
decorate(xlabel='Frequency (Hz)')
plt.subplot(312)
spectrum1 = wave1.make_spectrum()
spectrum1.plot(high=10000, color='red')
from thinkdsp import normalize, unbias
import numpy as np
import matplotlib.pyplot as plt
from thinkdsp import SquareSignal
class SawtoothSignal(Sinusoid):
"""Represents a sawtooth signal."""
def evaluate(self, ts):
"""Evaluates the signal at the given times.
ts: float array of times
returns: float wave array
"""
cycles = self.freq * ts + self.offset / np.pi / 2
frac, _ = np.modf(cycles)
ys = normalize(unbias(frac), self.amp)
return ys
plt.rcParams['font.sans-serif'] = ['SimHei'] #加上这一句就能在图表中显示中文
plt.rcParams['axes.unicode_minus'] = False #用来正常显示负号
plt.title("方波")
square = SquareSignal(1100).make_wave(duration=0.5, framerate=10000)
wave1 = square.make_spectrum()
square.make_spectrum().plot()
decorate(xlabel='Frequency (Hz)')
wave = wave1.make_wave()
wave.write(filename="sound2-3.wav")
plt.show()
import sys
sys.path.insert(1, 'dsp-modulo')
from thinkdsp import SinSignal
from thinkdsp import SquareSignal
from thinkdsp import decorate
import thinkplot
import numpy
senalRectangular = SquareSignal(freq=2, amp=1.0, offset=numpy.pi)
waveRectangular = senalRectangular.make_wave(duration=1,
start=0,
framerate=44100)
senalSenoidal = SinSignal(freq=2, amp=1, offset=0)
harmonico1 = SinSignal(freq=senalSenoidal.freq * 3, amp=0.3, offset=0)
harmonico2 = SinSignal(freq=senalSenoidal.freq * 5, amp=0.25, offset=0)
harmonico3 = SinSignal(freq=senalSenoidal.freq * 7, amp=0.20, offset=0)
harmonico4 = SinSignal(freq=senalSenoidal.freq * 9, amp=0.15, offset=0)
harmonico5 = SinSignal(freq=senalSenoidal.freq * 11, amp=0.1, offset=0)
harmonico6 = SinSignal(freq=senalSenoidal.freq * 13, amp=0.05, offset=0)
waveSenoidal = senalSenoidal.make_wave(duration=1, start=0, framerate=44100)
mezcla = senalSenoidal + harmonico1 + harmonico2 + harmonico3 + harmonico4 + harmonico5 + harmonico6
waveMezcla = mezcla.make_wave(duration=1, start=0, framerate=44100)
waveRectangular.plot()
waveMezcla.plot()
thinkplot.show()
espectroRectangular = waveRectangular.make_spectrum()
espectroMezcla = waveMezcla.make_spectrum()
from thinkdsp import SawtoothSignal import matplotlib.pyplot as plt from thinkdsp import decorate from thinkdsp import SquareSignal signal = SquareSignal(200) duration = signal.period * 3 segment = signal.make_wave(duration, framerate=10000) segment.plot() decorate(xlabel='Time (s)') wave = signal.make_wave(duration=0.5, framerate=10000) wave.apodize() wave.make_audio() wave.write(filename='6.9.2.wav') spectrum = wave.make_spectrum() spectrum.plot() decorate(xlabel='Frequency (Hz)') plt.show()
import matplotlib.pyplot as plt from thinkdsp import TriangleSignal from thinkdsp import decorate from thinkdsp import SquareSignal signal = SquareSignal(1100) duration = signal.period*3 segment = signal.make_wave(duration, framerate=10000) decorate(xlabel='Time (s)') plt.rcParams['font.sans-serif']=['SimHei'] plt.rcParams['axes.unicode_minus']=False plt.subplot(121) segment.plot() wave = signal.make_wave(duration=0.5, framerate=10000) wave.apodize() wave.make_audio() spectrum = wave.make_spectrum() decorate(xlabel='Frequency (Hz)') plt.subplot(122) spectrum.plot() plt.show()
from thinkdsp import TriangleSignal, SquareSignal
from thinkdsp import decorate
import matplotlib.pyplot as plt
import numpy as np
square = SquareSignal(1100)
cysquare = square.make_wave(duration=2, framerate=10000)
cysquare.play('temp11.wav')
square = square.make_wave(duration=0.5, framerate=10000)
square.make_spectrum().plot()
decorate(xlabel='Frequency (Hz)')
from thinkdsp import SinSignal
sin = SinSignal(500).make_wave(duration=2, framerate=10000)
sin.play('temp22.wav')
plt.show()
class SawtoothSignal(Sinusoid):
"""Represents a sawtooth signal."""
def evaluate(self, ts):
"""Evaluates the signal at the given times.
ts: float array of times
returns: float wave array
"""
cycles = self.freq * ts + self.offset / np.pi / 2
frac, _ = np.modf(cycles)
ys = normalize(unbias(frac), self.amp)
return ys
sawtooth = SawtoothSignal().make_wave(duration=0.5, framerate=40000)
from thinkdsp import SquareSignal
sawtooth.make_spectrum().plot(color='black')
square = SquareSignal(amp=0.5).make_wave(duration=0.5, framerate=40000)
square.make_spectrum().plot()
decorate(xlabel='Frequency (Hz)')
sawtooth.make_spectrum().plot(color='yellow')
sawtooth.make_spectrum().plot()
decorate(xlabel='Frequency (Hz)')
from thinkdsp import TriangleSignal
sawtooth.make_spectrum().plot(color='red')
triangle = TriangleSignal(amp=0.79).make_wave(duration=0.5, framerate=40000)
triangle.make_spectrum().plot()
decorate(xlabel='Frequency (Hz)')
plt.show()
def spect(spectrum):
spectrum.hs[1:] /= spectrum.fs[1:]
spectrum.hs[0] = 0
#三角波验证
wave = TriangleSignal(440).make_wave(duration=0.5)
spectrum = wave.make_spectrum()
plt.subplot(3, 1, 1)
spectrum.plot(high=10000)
spect(spectrum)
plt.ylabel('三角波验证')
#方波验证
wave = SquareSignal(440).make_wave(duration=0.5)
spectrum = wave.make_spectrum()
plt.subplot(3, 1, 2)
spectrum.plot(high=10000)
spect(spectrum)
plt.ylabel('方波验证')
#锯齿波验证
wave = SawtoothSignal(440).make_wave(duration=0.5)
spectrum = wave.make_spectrum()
plt.subplot(3, 1, 3)
spectrum.plot(high=10000)
spect(spectrum)
plt.ylabel('方波验证')
plt.show()
def play(file, flags):
print('Now play ' + file)
PlaySound(file, flags)
print('end')
trangle = TriangleSignal(freq=440).make_wave(duration=0.01, framerate=10000)
plt.subplot(231)
plt.title("trangle")
trangle.plot()
trangle.write("三角波声音.wav")
play("三角波声音.wav", flags=1)
square = SquareSignal(freq=440).make_wave(duration=0.01, framerate=10000)
plt.subplot(232)
plt.title("square")
square.plot()
square.write("方波声音.wav")
play("方波声音.wav", flags=1)
sawtooth = SawtoothSignal(freq=440).make_wave(duration=0.01, framerate=10000)
plt.subplot(233)
plt.title("sawtooth")
sawtooth.plot()
sawtooth.write("斜波声音.wav")
play("斜波声音.wav", flags=1)
spectrum_tra = trangle.make_spectrum()
filter_spectrum(spectrum_tra)
plt.subplot(234)
"""
# avoid division by 0
spectrum.hs[1:] /= spectrum.fs[1:]
spectrum.hs[0] = 0
wave = TriangleSignal(freq=440).make_wave(duration=0.5)
spectrum = wave.make_spectrum()
plt.subplot(3, 1, 1)
spectrum.plot(high=10000, color='red')
filter_spectrum(spectrum)
spectrum.scale(440)
spectrum.plot(high=10000)
decorate(xlabel='Frequency (Hz)')
wave2 = square = SquareSignal(1100).make_wave(duration=0.5)
spectrum2 = wave2.make_spectrum()
plt.subplot(3, 1, 2)
spectrum2.plot(high=10000, color='red')
filter_spectrum(spectrum2)
spectrum2.scale(440)
spectrum2.plot(high=10000)
decorate(xlabel='Frequency (Hz)')
wave3 = sawtooth = SawtoothSignal().make_wave(duration=0.5)
spectrum3 = wave3.make_spectrum()
plt.subplot(3, 1, 3)
spectrum3.plot(high=10000, color='red')
filter_spectrum(spectrum3)
spectrum3.scale(440)
spectrum3.plot(high=10000)
plt.subplot(3,2,1) segment.plot() decorate(xlabel='Time (s)') wave = signal.make_wave(duration=0.5, framerate=10000) wave.apodize() wave.make_audio() spectrum = wave.make_spectrum()#绘制三角波频谱 plt.subplot(3,2,2) spectrum.plot() decorate(xlabel='Frequency (Hz)') from thinkdsp import SquareSignal signal = SquareSignal(200)#绘制方波 duration = signal.period*3 segment = signal.make_wave(duration, framerate=10000) plt.subplot(3,2,3) segment.plot() decorate(xlabel='Time (s)') wave = signal.make_wave(duration=0.5, framerate=10000) wave.apodize() wave.make_audio() spectrum = wave.make_spectrum()#绘制方波频谱 plt.subplot(3,2,4) spectrum.plot() decorate(xlabel='Frequency (Hz)')
from thinkdsp import TriangleSignal from thinkdsp import decorate import matplotlib.pyplot as plt import numpy as np from thinkdsp import SquareSignal signal = SquareSignal(1100) #绘制1100Hz方波信号 duration = signal.period * 3 segment = signal.make_wave(duration, framerate=10000) plt.subplot(2, 1, 1) segment.plot() decorate(xlabel='Time (s)') segment = signal.make_wave(duration=0.5, framerate=10000) spectrum = segment.make_spectrum() plt.subplot(2, 1, 2) spectrum.plot() decorate(xlabel='Frequency (Hz)') plt.show()