fft

问题 In the code, first I'm opening wav file called output_test.wav. I then filter the noise from the signal using fftpack. Problem : I'm trying to convert the filtered signal i.e. filtered_sig array into wav file properly. Currently when i open TestFiltered.wav I get the error: "The item was encoded into a format not supported: 0xc00d5212" Upon further investigation it seems i'm not filtering noise correctly? I think the error comes from the last 2 lines: filteredwrite = np.fft.irfft(filtered_sig

问题 In the code, first I'm opening wav file called output_test.wav. I then filter the noise from the signal using fftpack. Problem : I'm trying to convert the filtered signal i.e. filtered_sig array into wav file properly. Currently when i open TestFiltered.wav I get the error: "The item was encoded into a format not supported: 0xc00d5212" Upon further investigation it seems i'm not filtering noise correctly? I think the error comes from the last 2 lines: filteredwrite = np.fft.irfft(filtered_sig

问题 I have a nD array, say of dimensions: (144, 522720) and I need to compute its FFT. PyFFTW seems slower than numpy and scipy , that it is NOT expected. Am I doing something obviously wrong? Below is my code import numpy import scipy import pyfftw import time n1 = 144 n2 = 522720 loops = 2 pyfftw.config.NUM_THREADS = 4 pyfftw.config.PLANNER_EFFORT = 'FFTW_ESTIMATE' # pyfftw.config.PLANNER_EFFORT = 'FFTW_MEASURE' Q_1 = pyfftw.empty_aligned([n1, n2], dtype='float64') Q_2 = pyfftw.empty_aligned(

问题 NumPY has complex64 corresponding to two float32's. But it also has float16's but no complex32. How come? I have signal processing calculation involving FFT's where I think I'd be fine with complex32, but I don't see how to get there. In particular I was hoping for speedup on NVidia GPU with cupy. However it seems that float16 is slower on GPU rather than faster. Why is half-precision unsupported and/or overlooked? Also related is why we don't have complex integers, as this may also present

问题 NumPY has complex64 corresponding to two float32's. But it also has float16's but no complex32. How come? I have signal processing calculation involving FFT's where I think I'd be fine with complex32, but I don't see how to get there. In particular I was hoping for speedup on NVidia GPU with cupy. However it seems that float16 is slower on GPU rather than faster. Why is half-precision unsupported and/or overlooked? Also related is why we don't have complex integers, as this may also present

问题 NumPY has complex64 corresponding to two float32's. But it also has float16's but no complex32. How come? I have signal processing calculation involving FFT's where I think I'd be fine with complex32, but I don't see how to get there. In particular I was hoping for speedup on NVidia GPU with cupy. However it seems that float16 is slower on GPU rather than faster. Why is half-precision unsupported and/or overlooked? Also related is why we don't have complex integers, as this may also present

问题 I'm new to python,I'm trying get a FFT value of a uploaded wav file and return the FFT of each frame in each line of a text file (using GCP) using scipy or librosa Frame rate i require is 30fps wave file will be of 48k sample rate so my questions are how do i divide the samples for the whole wav file into samples of each frame How do add empty samples to make the length of the frame samples power of 2 (as 48000/30 = 1600 add 448 empty samples to make it 2048) how do i normalize the resulting

问题 I'm new to python,I'm trying get a FFT value of a uploaded wav file and return the FFT of each frame in each line of a text file (using GCP) using scipy or librosa Frame rate i require is 30fps wave file will be of 48k sample rate so my questions are how do i divide the samples for the whole wav file into samples of each frame How do add empty samples to make the length of the frame samples power of 2 (as 48000/30 = 1600 add 448 empty samples to make it 2048) how do i normalize the resulting

问题 I want to remove one frequency (one peak) from signal and plot my function without it. After fft I found frequency and amplitude and I am not sure what I need to do now. For example I want to remove my highest peak (marked with red dot on plot). import numpy as np import matplotlib.pyplot as plt # create data N = 4097 T = 100.0 t = np.linspace(-T/2,T/2,N) f = np.sin(50.0 * 2.0*np.pi*t) + 0.5*np.sin(80.0 * 2.0*np.pi*t) #plot function plt.plot(t,f,'r') plt.show() # perform FT and multiply by dt

问题 I want to remove one frequency (one peak) from signal and plot my function without it. After fft I found frequency and amplitude and I am not sure what I need to do now. For example I want to remove my highest peak (marked with red dot on plot). import numpy as np import matplotlib.pyplot as plt # create data N = 4097 T = 100.0 t = np.linspace(-T/2,T/2,N) f = np.sin(50.0 * 2.0*np.pi*t) + 0.5*np.sin(80.0 * 2.0*np.pi*t) #plot function plt.plot(t,f,'r') plt.show() # perform FT and multiply by dt