def sine_wave_generator(frequency, sample_rate, duration): t = np.arange(0, duration, 1/sample_rate) for value in np.sin(2 * np.pi * frequency * t): yield value 波形数据生成器的应用场景有哪些? 波形数据生成器可以广泛应用于多个领域,例如信
这里先构建一个输入2Vpp的sine波,先不加窗,然后fft变换后得到频谱 importnumpyasnpimportmatplotlib.pyplotasplt# sine wave generatorfs=250e3t_interval=1/fsfin=5e3n_period=100sample_N=int(fs/fin*n_period)# sample_N = 16384t=np.arange(0,sample_N*t_interval,t_interval)xn=1*np.sin(2*np.pi*...
printSuccessful(wave_type, frequency, frequency1,play_time) if __name__ == '__main__': main(sys.argv[1], sys.argv[2], sys.argv[3], sys.argv[4],sys.argv[5]) 运行结果: ➜ wave-generator git:(master) ✗ py tone_wave_generator.py sine 900 1800 10 out26.wav File 'out26....
printSuccessful(wave_type, frequency, frequency1,play_time)if__name__=='__main__': main(sys.argv[1], sys.argv[2], sys.argv[3], sys.argv[4],sys.argv[5]) 运行结果: ➜ wave-generator git:(master) ✗ py tone_wave_generator.py sine 900 1800 10out26.wav File'out26.wav'created!
«interface»SignalGenerator+generateSignal()+plotSignal()SineWaveGenerator+generateSignal()SquareWaveGenerator+generateSignal() 解决方案 为了解决问题,我们需要编写一个自动化脚本来正确生成方波信号并且优化生成过程。可以使用numpy的sign函数来创建方波信号。
AI代码解释 ➜ wave-generator git:(master)✗ py tone_wave_generator.py sine900180010out26.wav File'out26.wav'created!Wave Type:sineFrequency_one:900hzFrequency_two:1800hz Play Time:10seconds 三 结果分析 生成的wav文件波形图: 对应的频谱图...
from pydub.generators import Sine 生成一个440Hz的A音符,时长为1秒 tone = Sine(440).to_audio_segment(duration=1000) 保存为音频文件 tone.export("a_note.wav", format="wav") 使用Wave库 Wave库是Python标准库的一部分,用于处理.wav格式的音频文件。虽然它的功能没有Pydub丰富,但它对音频文件的处理更加...
SignalGenerator+generate_sine_wave(frequency: float, duration: float)+add_gaussian_noise(mean: float, std_dev: float)+plot_signals()Noise+generate_mean(mean: float)+generate_std_dev(std_dev: float) 甘特图 2023-10-012023-10-012023-10-012023-10-022023-10-022023-10-022023-10-022023-10-03Cre...
Then, you pass your generator expression into the .join() method of an empty bytes literal to concatenate the individual bytes into a longer sequence. And, here’s the optimized version of the same task based on NumPy: Python waveio/encoding.py from enum import IntEnum import numpy as ...
NumPy,即Numerical Python,是Python中最为常用的科学计算库之一。它提供了强大的多维数组对象ndarray,并支持大量的数学函数和操作。与Python内置的列表相比,NumPy数组的计算速度更快,占用内存更少,非常适合处理大量的数据。 NumPy的功能不仅限于数值计算,它还支持复杂的数组操作,如切片、索引、线性代数运算等。NumPy通常与...