blitzwave

C++ library for fast wavelet transforms and signal processing

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C++ wavelet library

decompose signal into frequency components

$ #include <blitzwave/wavelet.hpp>
BlitzWave::DWT dwt(signal, "db4");
auto coeffs = dwt.decompose();

compress image data using wavelet compression

$ #include <blitzwave/wavelet.hpp>
BlitzWave::Wavelet w(image_data);
auto compressed = w.compress(threshold);

denoise audio by removing high-frequency noise

$ #include <blitzwave/wavelet.hpp>
BlitzWave::DWT dwt(audio, "sym5");
auto denoised = dwt.denoise(noise_level);

perform fast multi-resolution analysis on data

$ #include <blitzwave/wavelet.hpp>
BlitzWave::MRA mra(data);
auto scales = mra.analyze_scales(max_level);

reconstruct signal from wavelet coefficients

$ #include <blitzwave/wavelet.hpp>
BlitzWave::DWT dwt;
auto reconstructed = dwt.reconstruct(coefficients);