Fast Fourier Transform (Forward)
quantlib-numerical
Fast Fourier Transform (Forward)
Compute the Fast Fourier Transform of real-valued data, converting from time/spatial domain to frequency domain. FFT decomposes a signal into its constituent frequencies and is fundamental for signal processing, spectral analysis, convolution operations, and filtering. Returns complex-valued frequency components with real, imaginary, and magnitude values. [Tier: BASIC, Credits: 1]
POST
Fast Fourier Transform (Forward)
Authorizations
API key for authentication. Get your key at https://api.fincept.in/auth/register
Body
application/json
Real-valued input data (time or spatial domain samples)
Example:
[1, 2, 3, 4, 4, 3, 2, 1]