24 double WXUNUSED(rate),
float *output,
25 bool autocorrelation,
int windowFunc)
27 if (width < windowSize)
33 Floats processed{ windowSize };
35 for (
size_t i = 0; i < windowSize; i++)
36 processed[i] =
float(0.0);
37 auto half = windowSize / 2;
45 while (start + windowSize <= width) {
46 for (
size_t i = 0; i < windowSize; i++)
47 in[i] = data[start + i];
51 if (autocorrelation) {
53 RealFFT(windowSize, in.get(), out.get(), out2.get());
55 for (
size_t i = 0; i < windowSize; i++)
56 in[i] = (out[i] * out[i]) + (out2[i] * out2[i]);
61 for (
size_t i = 0; i < windowSize; i++)
62 in[i] = powf(in[i], 1.0f / 3.0f);
65 RealFFT(windowSize, in.get(), out.get(), out2.get());
71 for (
size_t i = 0; i < half; i++)
72 processed[i] += out[i];
78 if (autocorrelation) {
86 for (
size_t i = 0; i < half; i++) {
88 if (processed[i] < 0.0)
89 processed[i] = float(0.0);
90 out[i] = processed[i];
94 processed[i] -= out[i / 2];
96 processed[i] -= ((out[i / 2] + out[i / 2 + 1]) / 2);
99 if (processed[i] < 0.0)
100 processed[i] = float(0.0);
104 for (
size_t i = 0; i < half; i++)
105 in[i] = processed[i] / (windowSize / 4);
106 for (
size_t i = 0; i < half; i++)
107 processed[half - 1 - i] = in[i];
111 for (
size_t i = 0; i < half; i++){
112 float temp=(processed[i] / windowSize / windows);
114 processed[i] = 10 * log10(temp);
120 for(
size_t i = 0; i < half; i++)
121 output[i] = processed[i];
void WindowFunc(int whichFunction, size_t NumSamples, float *in)
void PowerSpectrum(size_t NumSamples, const float *In, float *Out)
void RealFFT(size_t NumSamples, const float *RealIn, float *RealOut, float *ImagOut)
bool ComputeSpectrum(const float *data, size_t width, size_t windowSize, double WXUNUSED(rate), float *output, bool autocorrelation, int windowFunc)