Arbitrary wave table for a custom oscillator
I need to create a specific custom waveform for an oscillator for use with Web Audio API.
I have a Javascript function to output the desired waveform (calculating a y between -1 and 1 for any given x), and the plotted result looks like this:
However the Web Audio API documentation only lets you create custom wavetables based on harmonic tables via the createPeriodicWave function, which can then be used to configure a custom oscillator via setPeriodicWave. Is there a generic technique that can be used to compute the harmonic tables based on my waveform function?
A DFT (or FFT) with a length of exactly one period of your custom waveform will produce a harmonic table. Just low-pass filter and sample your waveform 2^N times, and feed that to a generic library FFT. (Choose a large enough 2^N to be at least more than 2X the low-pass filter's or your waveform's intrinsic highest frequency content). The magnitudes of the FFT's resulting complex bins will be your harmonic power levels.
- Automatic detection of FFT peaks in image: Python
- Gaussian blur and FFT
- How to use the AddBandPassMaskToImage() method?
- How do I turn-off this horizontal line in the FFT plot
- Inverse Filter for Gaussian Blur
- Does it make sense to use cross-correlation on arrays of timestamps?
- CUDA image upsampling with FFT method
- Is there any function, which could solve the linear superposition of two gaussian noise with different mean and stddev like Fourier transform?
- How to obtain frequencies in Non-Uniform DFFT?
- fftshift or convolve from NumPy module incorrect operation
- Plotting phase and magnitude image Fourier
- Implementing Euler's Form of Trigonometric Interpolation
- Fourier Transform of 3D data set
- Higher radix (or better) formulation for Stockham FFT
- How to achieve consistent scaling of spectrograms with new and old scipy APIs
- Plot Square Wave in Python
- Python: Lowpass Filter with only numpy
- How to properly calculate PSD plot (Power Spectrum Density Plot) for images in order to remove periodic noise?
- How to remove motion blur from a given image in frequency domain (deconvolution)?
- Python: Compare two audio files which may have noise
- Preventing the Gibbs phenomenon on a reverse FFT
- What is frequency-domain entropy in FFT result and how to calculate it?
- Fourier transform on images with holes
- Can you compute the amplitude/power of original signal from Fourier transform?
- How to detect string when pitch-tracking on electric guitar?
- How to Convert cutoff_frequency_ratio to Cycles/Pixel in Butterworth Filtering in scikit-image
- Computational complexity of the FFT in n dimensions
- Paralelizing FFT (using CUDA)
- Inverse Fourier Transform X-Axis Scaling
- How to calculate continuous Fourier inverse numerically with numpy?