ccwt's Introduction

CCWT library for C and Python

Did you ever wanted to easily generate a spectrogram like this one?

Take the Tutorial with lots of examples and all features being explained.

Features

sudo apt-get install libfftw3-dev libpng-dev

sudo pacman -S fftw libpng

brew install fftw libpng

[sudo] pip[3] install ccwt

input_signal: Numpy 1D float32, float64, complex64 or complex128 array
padding: Zero samples to be virtually added at each end of the input signal, default is 0
thread_count: Default is 1 (no multi threading)

height: Height of the resulting image in pixels and number of frequencies to analyze
frequency_range: Difference between the highest and the lowest frequency to analyze, default is height/2
frequency_offset: Lowest frequency to analyze, default is 0.0
frequency_basis: Values > 0.0 switch from a linear to an exponential frequency scale using this as basis, default is 0.0 / linear mode
deviation: Values near 0.0 have better frequency resolution, values towards infinity have better time resolution, default is 1.0

fourier_transformed_signal: Numpy 1D complex128 array generated by ccwt.fft()
frequency_band: Numpy 2D float64 array generated by ccwt.frequency_band()
width: Width of the resulting image in pixels, can be the length of the input signal or less for downsampling
padding: Same value as passed to ccwt.fft()
thread_count: Default is 1 (no multi threading)

Same as ccwt.numeric_output() but with these additionally at the beginning:

file: File object to store the resulting PNG image
render_mode: indicating the color scheme for rendering, see include/render_mode.h for possible values
logarithmic_basis: Values > 0.0 switch from a linear to a logarithmic intensity rendering using this as basis

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