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Ifft

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

CODE
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

CODE
 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.

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