5 projects tagged "fft"
Updated 16 Apr 2012
Nsound
| Pop | 92.99 |
|---|---|
| Vit | 5.13 |
Nsound is a C++ library and Python module for audio synthesis that features dynamic digital filters. Nsound lets you easily shape waveforms and write to disk or plot them. Nsound aims to be as powerful as Csound but easy to use.
Updated 03 Feb 2010
Brp-pacu
| Pop | 61.53 |
|---|---|
| Vit | 1.58 |
Brp-pacu is a cross-platform dual-channel FFT-based acoustic analysis tool to help engineers analyze live professional sound systems using the transfer function. One feature is the ability to capture four sample plots, average them, and invert to aid in final EQ.
Updated 28 May 2009
Impulse
| Pop | 23.41 |
|---|---|
| Vit | 38.11 |
Impulse is a bit of eye candy for your desktop. It is a widget that displays a graphical spectrum analyzer on your GNOME desktop. It is written in C and Python, and uses GTK and Cairo graphics to generate the animation. The impulse library creates a pulse audio connection context that reads the output stream from pulseaudio in a thread natively, which can then be read from Python. You can instruct impulse to either output the raw stream or output the FFT of the raw stream.
Updated 12 Oct 2011
2DECOMP&FFT
| Pop | 44.81 |
|---|---|
| Vit | 2.25 |
The 2DECOMP&FFT library is a software framework in Fortran to build large-scale parallel applications. It is designed for applications using three-dimensional structured mesh and spatially implicit numerical algorithms. At the foundation, it implements a general-purpose 2D pencil decomposition for data distribution on distributed-memory platforms. On top, it provides a highly scalable and efficient interface to perform three-dimensional distributed FFTs.
Updated 22 Nov 2011
PFFFT
| Pop | 32.25 |
|---|---|
| Vit | 23.33 |
PFFFT is a very small 1D Fast Fourier Transform library based on the venerable FFTPACK v4. It handles single precision real and complex transforms. Computations take advantage of SSE1 instructions on x86, Altivec on PowerPC, and NEON on ARM, allowing it to achieve a performance level that is not too far from the very best FFTs (FFTW, Intel MKL, Apple vDSP).
