KFR is built for developers who need a powerful toolkit for audio and DSP applications. The framework is packed with ready-to-use C++ classes and functions for various DSP tasks from high-quality filtering to small helpers to improve development speed. Highest possible performance is one of the main goals of the KFR framework. Accurate benchmark measurements prove that KFR offers high speed implementations of the DSP algorithms.
FEATURES
- DFT/FFT
- Convolution
- High quality Sample Rate Conversion (SRC)
- EBU R 128 Loudness
- FIR (Finite Impulse Response) filtering
- IIR (Infnite Impulse Response) filtering
- FIR filter design using window method
- Delay line and fractional delay line
- Biquad filters and Biquad cascades
- Biquad design functions
- Oscillators
- Window functions
- Waveshaper
- Stereo conversion (L/R, M/S)
Need an alternative to KFR? Read on. We've looked at the best KFR alternatives available for Windows, Mac and Android.
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Features:
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