Fft
Overview
Forward FFT of real data
Discussion
Computes the fast Fourier transform of a real input signal yielding a complex half spectrum. The blockSize, N, of the input must be a power of 2 in the range [4...16384]. The output pin is complex with a blockSize of N/2+1 complex samples. The output pin contains the complex transform data for FFT samples k=0, 1, ..., N/2. The DC (k=0) and Nyquist (k=N/2) samples always have an imaginary component of 0.
Type Definition
typedef struct _ModuleFft
{
ModuleInstanceDescriptor instance; // Common Audio Weaver module instance structure
void * hardware_specific_struct_pointer; // This may point to a struct that varies based on the target platform
} ModuleFftClass;
Variables
Properties
Name | Type | Usage | isHidden | Default value | Range | Units |
hardware_specific_struct_pointer | void * | state | 1 | Unrestricted | hardware_specific_struct_pointer |
Pins
Input Pins
Name: in
Description: Real input
Data type: float
Channel range: Unrestricted
Block size range: 4, 8, 16, 32, 64, 128, 256, 512, 1024, 2048, 4096, 8192, 16384
Sample rate range: Unrestricted
Complex support: Real
Output Pins
Name: out
Description: Complex output
Data type: float
Scratch Pins
Channel count: 1
Block size: 5
Sample rate: 48000
MATLAB Usage
File Name: fft_module.m
M=fft_module(NAME)
Computes the forward FFT of real input data. The input block
size must be a power of 2. The module supports multichannel signals.
Arguments:
NAME - name of the module.