def test_signal():
pathdir_out = "chap1_out"
signal = (SinSignal(freq=400, amp=1.0) + SinSignal(freq=600, amp=0.5) +
SinSignal(freq=800, amp=0.25))
signal.plot()
wave2 = signal.make_wave(duration=1)
wave2.apodize()
wavfilename = pathdir_out + "/wave_400_600_800.wav"
wave2.write(wavfilename)
spectrum = wave2.make_spectrum()
#spectrum.plot(high=2000)
fig1 = pathdir_out + "/wave_400_600_800.jpg"
spectrum.plot_writefile(high=2000, filename=fig1)
def test_leak():
signal = SinSignal(freq=440)
duration = signal.period * 30
wave = signal.make_wave(duration)
#wave.plot()
#decorate(xlabel='Time (s)')
spectrum = wave.make_spectrum()
#spectrum.plot(high=880)
#decorate(xlabel='Frequency (Hz)', ylabel='Amplitude')
duration2 = signal.period * 30.25
wave2 = signal.make_wave(duration2)
#wave2.plot()
#decorate(xlabel='Time (s)')
spectrum2 = wave2.make_spectrum()
#plot all you need in on figure
plt.figure()
plt.subplot(3, 2, 1)
plt.plot(wave.ts, wave.ys)
plt.subplot(3, 2, 2)
i = find_index(880, spectrum.fs)
plt.plot(spectrum.fs[:i], spectrum.amps[:i])
plt.subplot(3, 2, 3)
plt.plot(wave2.ts, wave2.ys)
plt.subplot(3, 2, 4)
i = find_index(880, spectrum2.fs)
plt.plot(spectrum2.fs[:i], spectrum2.amps[:i])
wave2.hamming()
spectrum2 = wave2.make_spectrum()
plt.subplot(3, 2, 5)
plt.plot(wave2.ts, wave2.ys)
plt.subplot(3, 2, 6)
i = find_index(880, spectrum2.fs)
plt.plot(spectrum2.fs[:i], spectrum2.amps[:i])
plt.show()
import sys
sys.path.insert(1, "dsp-modulo")
from thinkdsp import SinSignal
from thinkdsp import decorate
from thinkdsp import read_wave
import matplotlib.pyplot as plt
sonido = SinSignal(freq=440, amp=1, offset=0)
wave_sonido = sonido.make_wave(duration=1.0, start=0, framerate=44100)
decorate(xlabel="Tiempo (s)")
decorate(ylabel="Amplitud")
#wave_sonido.plot()
#plt.show()
wave_sonido.write("sonido_original.wav")
print(type(wave_sonido))
print("Inicio: " + str(wave_sonido.start))
print("Duracion: " + str(wave_sonido.duration))
print("Frecuencia: " + str(wave_sonido.framerate))
wave_sonido.framerate = wave_sonido.framerate / 2
wave_sonido.write("sonido_modificado.wav")
print("Frecuencia de muestreo modificada: " + str(wave_sonido.framerate))
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()
import sys
sys.path.insert(1, 'dsp-modulo')
from thinkdsp import SinSignal
from thinkdsp import CosSignal
from thinkdsp import decorate
from thinkdsp import read_wave
from thinkdsp import play_wave
import matplotlib.pyplot as plt
seno = SinSignal(freq=440, amp=1, offset=0)
seno2 = SinSignal(freq=340, amp=1, offset=0)
seno3 = SinSignal(freq=600, amp=0.7, offset=0)
waveSeno = seno.make_wave(duration=1, start=0, framerate=44100)
waveSeno2 = seno2.make_wave(duration=1, start=1, framerate=44100)
waveSeno3 = seno3.make_wave(duration=1, start=2, framerate=44100)
resultante = waveSeno + waveSeno2 + waveSeno3
decorate(xlabel="Tiempo (s)")
decorate(ylabel="Amplitud")
resultante.plot()
resultante.write("sonido.wav")
plt.show()
from thinkdsp import CosSignal, SinSignal
from thinkdsp import decorate
import matplotlib.pyplot as plt
cos_sig = CosSignal(freq=440, amp=1.0, offset=0)
sin_sig = SinSignal(freq=880, amp=0.5, offset=0)
mix = sin_sig + cos_sig
wave = mix.make_wave(duration=0.01, start=0, framerate=11025)
wave.play('test3.wav')
wave.normalize()
wave.make_audio()
plt.subplot(2, 1, 1)
wave.plot()
spectrum = wave.make_spectrum()
plt.subplot(2, 1, 2)
spectrum.plot(high=5000)
decorate(xlabel='Frequency (Hz)')
plt.show()
wave=spectrum.make_wave() audio = Audio(data=wave.ys, rate=wave.framerate) audio # 带阻 segment = wave.segment() spectrum = segment.make_spectrum() spectrum.band_stop(1000,3000) spectrum.plot() decorate(xlabel='Frequency (Hz)') wave=spectrum.make_wave() audio = Audio(data=wave.ys, rate=wave.framerate) audio cos_sig = CosSignal(freq=440, amp=1.0, offset=0) sin_sig = SinSignal(freq=880, amp=0.5, offset=0) mix = sin_sig + cos_sig period = mix.period segment = wave.segment(start=0, duration=period*3) wave = mix.make_wave(duration=1, start=0, framerate=11025) segment = wave.segment(start=0, duration=period*3) segment.plot() decorate(xlabel='Time (s)') spectrum = segment.make_spectrum() spectrum.plot() decorate(xlabel='Frequency (Hz)') wave = mix.make_wave(duration=1, start=0, framerate=11025) audio = Audio(data=wave.ys, rate=wave.framerate) audio
import sys sys.path.insert(1, 'dsp-modulo') from thinkdsp import SinSignal from thinkdsp import CosSignal from thinkdsp import decorate #Módulo para graficar import matplotlib.pyplot as plt #Crear señal senoidal seno = SinSignal(freq=329.628, amp=50, offset=0) coseno = CosSignal(freq=41.2035, amp=30, offset=0) #Crear gráfica en memoria y damos propiedades seno.plot() decorate(xlabel='Tiempo (s)') decorate(ylabel='Amplitud') coseno.plot() plt.show()
import sys sys.path.insert(1, 'dsp-modulo') from thinkdsp import SinSignal from thinkdsp import CosSignal from thinkdsp import decorate import matplotlib.pyplot as plt seno = SinSignal(freq=20, amp=1, offset=0) coseno = CosSignal(freq=50, amp=1.3, offset=0) waveSeno = seno.make_wave(duration=1, start=0, framerate=11025) waveCoseno = coseno.make_wave(duration=1, start=0, framerate=11025) waveResultante = waveSeno + waveCoseno decorate(xlabel="Tiempo (s)") decorate(ylabel="Amplitud") waveSeno.plot() waveCoseno.plot() plt.show() decorate(xlabel="Tiempo (s)") decorate(ylabel="Amplitud") waveResultante.plot() plt.show()
import sys
sys.path.insert(1, 'dsp-modulo')
from thinkdsp import SinSignal
from thinkdsp import decorate
import matplotlib.pyplot as plt
seno = SinSignal(freq=10, amp=1.0, offset=0)
wave_seno = seno.make_wave(duration=1.0, start=0, framerate=22050)
wave_seno_frecuencia_muestreo_baja = seno.make_wave(duration=1.0,
start=0,
framerate=21)
decorate(xlabel="Tiempo (s)")
decorate(ylabel="Amplitud")
wave_seno.plot()
wave_seno_frecuencia_muestreo_baja.plot()
plt.show()
decorate(xlabel="Tiempo (s)")
decorate(ylabel="Amplitud")
wave_seno_frecuencia_muestreo_baja.plot()
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
señalRectangular = SquareSignal(freq=2, amp=1.0, offset=numpy.pi)
waveRectangular = señalRectangular.make_wave(duration=1,
start=0,
framerate=44100)
señalSenoidal = SinSignal(freq=2, amp=1.0, offset=0)
harmonico1 = SinSignal(freq=señalSenoidal.freq * 3, amp=0.3, offset=0)
harmonico2 = SinSignal(freq=señalSenoidal.freq * 5, amp=0.25, offset=0)
harmonico3 = SinSignal(freq=señalSenoidal.freq * 7, amp=0.2, offset=0)
harmonico4 = SinSignal(freq=señalSenoidal.freq * 9, amp=0.15, offset=0)
harmonico5 = SinSignal(freq=señalSenoidal.freq * 11, amp=0.1, offset=0)
harmonico6 = SinSignal(freq=señalSenoidal.freq * 13, amp=0.05, offset=0)
mezcla = señalSenoidal + 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 SinSignal
import numpy as np
import matplotlib.pyplot as plt
from thinkdsp import decorate
from thinkdsp import Chirp
from thinkdsp import ExpoChirp
from thinkdsp import SinSignal
from ipywidgets import interact, interactive, fixed
import ipywidgets as widgets
from thinkdsp import normalize, unbias
from thinkdsp import read_wave
# 3-1
# 设置一个sin信号泄露，周期是30.25这样可以产生泄露，因为期间不是周期的整数倍就会有泄露
signal = SinSignal(freq=440)
duration = signal.period * 30.25
wave = signal.make_wave(duration)
wave.plot()
plt.show() # sin的波形
spectrum = wave.make_spectrum()
spectrum.plot(high=880)
decorate(xlabel='Frequency (Hz)')
plt.show() #sin的频谱
# 用不同的窗口看看他们对泄露的影响，分别用了bartlett,blackman,hamming,hanning窗口进行对比
for window_func in [np.bartlett, np.blackman, np.hamming, np.hanning]:
wave = signal.make_wave(duration)
wave.ys *= window_func(len(wave.ys))
spectrum = wave.make_spectrum()
from thinkdsp import decorate from thinkdsp import Sinusoid from thinkdsp import normalize, unbias from thinkdsp import SinSignal from thinkdsp import SquareSignal import numpy as np import matplotlib.pyplot as plt square = SquareSignal(1500).make_wave(duration=0.5, framerate=10000) square.make_spectrum().plot() decorate(xlabel='Frequency (Hz)') square.make_audio() SinSignal(1100).make_wave(duration=0.5, framerate=10000).make_spectrum().plot() plt.show()
import sys
sys.path.insert(1, 'dsp-modulo')
from thinkdsp import SinSignal
from thinkdsp import decorate
from thinkdsp import read_wave
from thinkdsp import play_wave
import matplotlib.pyplot as plt
seno = SinSignal(freq=329, amp=1, offset=0)
segundo_seno = SinSignal(freq=659, amp=1, offset=0)
tercer_seno = SinSignal(freq=165, amp=1, offset=0)
seno2 = SinSignal(freq=391, amp=1, offset=0)
segundo_seno2 = SinSignal(freq=783, amp=1, offset=0)
tercer_seno2 = SinSignal(freq=196, amp=1, offset=0)
seno3 = SinSignal(freq=493, amp=1, offset=0)
segundo_seno3 = SinSignal(freq=987, amp=1, offset=0)
tercer_seno3 = SinSignal(freq=246, amp=1, offset=0)
wave_seno = seno.make_wave(duration=1.0, start=1, framerate=44100)
wave_segundo_seno = segundo_seno.make_wave(duration=1.0,
start=1,
framerate=44100)
wave_tercer_seno = tercer_seno.make_wave(duration=1.0,
start=1,
framerate=44100)
wave_seno2 = seno2.make_wave(duration=1.0, start=0, framerate=44100)
wave_segundo_seno2 = segundo_seno2.make_wave(duration=1.0,
from thinkdsp import Sinusoid
from thinkdsp import normalize, unbias
import numpy as np
import matplotlib.pyplot as plt
from thinkdsp import decorate
from thinkdsp import SquareSignal
from thinkdsp import TriangleSignal
from thinkdsp import SinSignal
square = SquareSignal(1500).make_wave(duration=0.5, framerate=10000)
square.plot()
plt.subplot()
square.make_spectrum().plot()
decorate(xlabel='Frequency (Hz)')
square.make_audio()
SinSignal(500).make_wave(duration=0.5, framerate=10000).make_audio()
square.play("2-3.wav")
plt.show()
import wave
import thinkdsp
import matplotlib.pyplot as plt
import numpy as np
from scipy import signal
from thinkdsp import SinSignal, Spectrum, decorate
from thinkdsp import Signal
plt.rcParams['font.sans-serif']=['SimHei']#图表上可以显示中文
plt.rcParams['axes.unicode_minus']=False#图表上可以显示负号
signal=SinSignal(freq=440)
duration=signal.period*30.25
wave=signal.make_wave(duration)
for window_func in [np.bartlett,np.blackman,np.hanning,np.hamming]:
wave=signal.make_wave(duration)
wave.ys*=window_func(len(wave.ys))
Spectrum=wave.make_spectrum()
Spectrum.plot(high=880,label=window_func)
plt.title("频率")
plt.show()
segment.segment(start=1.1, duration=0.005).plot() spectrum = segment.make_spectrum() spectrum.plot(high=7000) plt.show() spectrum.low_pass(4000) spectrum.plot(high=7000) plt.show() spectrum.high_pass(1000) spectrum.plot(high=7000) plt.show() spectrum.band_stop(2500, 1000) spectrum.plot(high=7000) plt.show() cos_sig = CosSignal(freq=440, amp=1.0, offset=0) sin_sig = SinSignal(freq=880, amp=2.0, offset=0) # # 正弦信号和波形 plt.subplot() cos_sig.plot() decorate(xlabel='Time (s)') wave1 = cos_sig.make_wave(duration=1) wave1.apodize() wave1.make_audio() spectrum1 = wave1.make_spectrum() plt.subplot() spectrum1.plot(high=2000) # # 余弦信号和波形 sin_sig.plot() decorate(xlabel='Time (s)')
import sys sys.path.insert(1, 'dsp-modulo') from thinkdsp import SinSignal from thinkdsp import CosSignal from thinkdsp import decorate #modulo para mostrar graficas import matplotlib.pyplot as plt #Crear senoidal signal seno = SinSignal(freq=400, amp=0.7, offset=0) cos = SinSignal(freq=800, amp=1.1, offset=0) #Crear grafica en memoria, asignamos propiedades seno.plot() decorate(xlabel='Tiempo (s)') decorate(ylabel='Amplitud') cos.plot() #muestra grafica plt.show()
import sys sys.path.insert(1, 'dsp-modulo') from thinkdsp import SinSignal from thinkdsp import decorate import thinkplot senalUno = SinSignal(freq=380, amp=0.1, offset=0) senalDos = SinSignal(freq=200, amp=1, offset=0) mezcla = senalUno + senalDos waveMezcla = mezcla.make_wave(duration=1, start=0, framerate=44100) waveMezcla.plot() decorate(xlabel="Tiempo (s)") thinkplot.show() espectro = waveMezcla.make_spectrum() espectro.plot() decorate(xlabel="Frecuencia (Hz)") thinkplot.show()
from thinkdsp import CosSignal, SinSignal
from thinkdsp import decorate
cos_sig = CosSignal(freq=220, amp=1.0, offset=0)
sin_sig = SinSignal(freq=880, amp=0.5, offset=0)
oadd = SinSignal(freq=500, amp=0.7, offset=0)
# mix = sin_sig + cos_sig
mix = sin_sig + cos_sig + oadd
# mix.plot()
# decorate(xlabel='Time (s)')
wave = mix.make_wave(duration=2, start=0, framerate=11025)
wave.play('temp.wav')
spectrum = wave.make_spectrum()
spectrum.plot()
decorate(xlabel='Frequency (Hz)')
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()
import numpy as np
import matplotlib.pyplot as plt
from thinkdsp import decorate
from thinkdsp import SinSignal
signal = SinSignal(freq=440)
duration = signal.period * 30.25
wave = signal.make_wave(duration)
spectrum = wave.make_spectrum()
plt.subplot(121)
spectrum.plot(high=880)
decorate(xlabel='Frequency (Hz)')
for window_func in [np.bartlett, np.blackman, np.hamming, np.hanning]:
wave = signal.make_wave(duration)
wave.ys *= window_func(len(wave.ys))
spectrum = wave.make_spectrum()
plt.subplot(122)
spectrum.plot(high=880, label=window_func.__name__)
decorate(xlabel='Frequency (Hz)')
plt.show()
#import sys #sys.path.insert(1,'dsp-modulo') from thinkdsp import SinSignal from thinkdsp import CosSignal from thinkdsp import decorate #modulo para mostrar las graficas import matplotlib.pyplot as plt #crear señal senoidal seno = SinSignal(freq=200, amp=0.7, offset=0) coseno = CosSignal(freq=800, amp=1.1, offset=0) #creamos grafica y asignamos propiedades seno.plot() coseno.plot() decorate(xlabel='Tiempo (s)') decorate(ylabel='Amplitud') plt.show()
spectrum = segment.make_spectrum()
spectrum.plot(high=5000, color='0.7')
spectrum.low_pass(cutoff)
spectrum.plot(high=5000, color='#045a8d')
decorate(xlabel='Frequency (Hz)')
audio = spectrum.make_wave().make_audio()
display(audio)
################################################
from thinkdsp import SinSignal
signal = (SinSignal(freq=400, amp=1.0) +
SinSignal(freq=600, amp=0.5) +
SinSignal(freq=800, amp=0.25))
signal.plot()
wave2 = signal.make_wave(duration=1)
wave2.apodize()
wave2.make_audio()
spectrum = wave2.make_spectrum()
spectrum.plot(high=2000)
signal += SinSignal(freq=450)
signal.make_wave().make_audio()
import sys
sys.path.insert(1, "dsp-modulo")
from thinkdsp import SinSignal
from thinkdsp import decorate
from thinkdsp import read_wave
from thinkdsp import play_wave
import matplotlib.pyplot as plt
seno = SinSignal(freq=440, amp=1.0, offset=0)
segundo_seno = SinSignal(freq=340, amp=1, offset=0)
tercer_seno = SinSignal(freq=600, amp=0.7, offset=0)
wave_seno = seno.make_wave(duration=1.0, start=1, framerate=44100)
wave_segundo_seno = segundo_seno.make_wave(duration=1.0,
start=2,
framerate=44100)
wave_tercer_seno = tercer_seno.make_wave(duration=1.0,
start=3,
framerate=44100)
resultante = wave_seno + wave_segundo_seno + wave_tercer_seno
decorate(xLabel="Tiempo (s)")
decorate(yLabel="Amplitud")
resultante.plot()
if not os.path.exists('thinkdsp.py'):
get_ipython().system(
'wget https://github.com/AllenDowney/ThinkDSP/raw/master/code/thinkdsp.py'
)
# ## Signals
#
# Instantiate cosine and sine signals.
# In[33]:
from thinkdsp import CosSignal, SinSignal
cos_sig = CosSignal(freq=450, amp=1.0, offset=0)
sin_sig = SinSignal(freq=900, amp=0.5, offset=0)
# Plot the sine and cosine signals. By default, `plot` plots three periods.
# In[34]:
from thinkdsp import decorate
cos_sig.plot()
decorate(xlabel='Time (s)')
# Here's the sine signal.
# In[35]:
sin_sig.plot()
import sys sys.path.insert(1, 'dsp-modulo') from thinkdsp import SinSignal from thinkdsp import decorate import thinkplot frecuencia1 = SinSignal(freq=1500, amp=0.3, offset=0) frecuencia2 = SinSignal(freq=380, amp=0.6, offset=0) frecuencia3 = SinSignal(freq=5300, amp=1.0, offset=0) frecuencia4 = SinSignal(freq=12300, amp=0.1, offset=0) resultante1 = frecuencia1 + frecuencia2 resultante2 = frecuencia3 + frecuencia4 waveResultante1 = resultante1.make_wave(duration=1,start=0,framerate=44100) waveResultante2 = resultante2.make_wave(duration=6,start=1.3,framerate=44100) waveFinal = waveResultante1 + waveResultante2 waveFinal.plot() decorate(xLabel="Tiempo (s)") thinkplot.show() espectro = waveFinal.make_spectrum() espectro.plot() decorate(xLabel="Frecuencia (Hz)") thinkplot.show()
import os
from matplotlib.pyplot import subplot
from thinkdsp import SquareSignal
from thinkdsp import decorate
from thinkdsp import plt
from thinkdsp import Sinusoid
from thinkdsp import normalize, unbias
import numpy as np
from thinkdsp import SinSignal
from thinkdsp import read_wave
square = SquareSignal(1100).make_wave(duration=0.5, framerate=10000)
square.make_spectrum().plot()
segment = SinSignal(10000).make_wave(duration=0.5,
framerate=10000).make_audio()
segment.write(filename='fb.wav')
# decorate(xlabel='Frequency (Hz)')
# plt.show()
