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
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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
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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
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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. |
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