English
资源说明：Aquila is a digital signal processing library for C++11.
What is Aquila?
===============
Aquila is an open source and cross-platform DSP (Digital Signal Processing)
library for C++11.
[](https://travis-ci.org/zsiciarz/aquila)
[](https://ci.appveyor.com/project/zsiciarz/aquila)
[](https://coveralls.io/r/zsiciarz/aquila)
[](https://scan.coverity.com/projects/2786)
Example
=======
```cpp
#include "aquila/aquila.h"
int main()
{
// input signal parameters
const std::size_t SIZE = 64;
const Aquila::FrequencyType sampleFreq = 2000, f1 = 125, f2 = 700;
Aquila::SineGenerator sine1(sampleFreq);
sine1.setAmplitude(32).setFrequency(f1).generate(SIZE);
Aquila::SineGenerator sine2(sampleFreq);
sine2.setAmplitude(8).setFrequency(f2).setPhase(0.75).generate(SIZE);
auto sum = sine1 + sine2;
Aquila::TextPlot plot("Input signal");
plot.plot(sum);
// calculate the FFT
auto fft = Aquila::FftFactory::getFft(SIZE);
Aquila::SpectrumType spectrum = fft->fft(sum.toArray());
plot.setTitle("Spectrum");
plot.plotSpectrum(spectrum);
return 0;
}
```
For more usage examples see the `examples` directory or
[browse them online](http://aquila-dsp.org/articles/examples/).
Features
========
* various signal sources (generators, text/binary/WAVE files)
* signal windowing and filtering
* performing operations on a frame-by-frame basis
* calculating energy, power, FFT and DCT of a signal
* feature extraction, including MFCC and HFCC features, widely used in
speech recognition
* pattern matching with DTW (dynamic time warping) algorithm
Requirements
============
The following dependencies are required to build the library from source.
* a modern C++11 compiler
* CMake >= 2.8
Contributing
============
See CONTRIBUTING.md for some guidelines how to get involved.
License
=======
The library is licensed under the MIT (X11) license. A copy of the license
is distributed with the library in the LICENSE file.
Authors
=======
Zbigniew Siciarz (zbigniew at siciarz dot net)
This library includes code from Takuya Ooura's mathematical software packages,
which are available at http://www.kurims.kyoto-u.ac.jp/~ooura/.
本源码包内暂不包含可直接显示的源代码文件，请下载源码包。
