Overview
Inverse FFT of real data
Discussion
Computes the inverse fast Fourier transform of a complex half spectrum yielding a real-valued result. The blockSize, N, of the real valued output must be a power of 2 in the range [4...16384]. The input pin is complex with a blockSize of N/2+1 complex samples. The input contains the complex transform at 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 _ModuleIfft
{
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
} ModuleIfftClass;
Variables
Properties
Name | Type | Usage | isHidden | Default value | Range | Units |
b0 | float | parameter | 0 | 1 | Unrestricted | |
b1 | float | parameter | 0 | 0 | Unrestricted | |
b2 | float | parameter | 0 | 0 | Unrestricted | |
a1 | float | parameter | 0 | 0 | Unrestricted | |
a2 | float | parameter | 0 | 0 | Unrestricted | |
state | float* | state | 1 | [2 x 1] | Unrestricted |
Pins
Input Pins
Name: in
Description: Complex input
Data type: fract32
Channel range: Unrestricted
Block size range: 4, 8, 16, 32, 64, 128, 256, 512, 1024
Sample rate range: Unrestricted
Complex support: Real
Output Pins
Name: out
Description: Complex output
Data type: fract32
Scratch Pins
Channel count: 1
Block size: 8
Sample rate: 48000
MATLAB Usage
File Name: fft_fract32_module.m
M=fft_fract32_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.