IFFT
Compute inverse fast Fourier transform (IFFT)
Libraries:
DSP HDL Toolbox /
Transforms
Description
The IFFT block provides two architectures that implement the algorithm for FPGA and ASIC applications. You can select an architecture that optimizes for either throughput or area.
Streaming Radix 2^2
— Use this architecture for highthroughput applications. This architecture supports scalar or vector input data. You can achieve gigasamplespersecond (GSPS) throughput, also called super sample rates, using vector input.Burst Radix 2
— Use this architecture for a minimum resource implementation, especially with large fastFouriertransform (FFT) sizes. Your system must be able to tolerate bursty data and higher latency. This architecture supports only scalar input data.
The IFFT accepts real or complex data, provides hardwarefriendly control signals, and optional output frame control signals.
Note
You can also generate HDL code for this hardwareoptimized algorithm, without creating a Simulink^{®} model, by using the DSP HDL IP Designer app. The app provides the same interface and configuration options as the Simulink block.
Examples
Implement FFT Algorithm for FPGA
Implement two hardwareoptimized FFT architectures in Simulink.
FrequencyDomain Filtering in HDL
Implement a filter in the frequency domain. The filter is built with the FFT and IFFT blocks from DSP HDL Toolbox™.
Automatic Delay Matching for the Latency of FFT Block
Programmatically obtain the latency of an FFT block in a model for use in delay matching.
Ports
Input
data — Input data
scalar or column vector of real or complex values
Input data, specified as a scalar or column vector of real or complex values. Only
the Streaming Radix 2^2
architecture supports a vector
input. The vector size must be a power of 2, in the range from 1 to 64, and less than
or equal to the FFT length.
The software supports double
and
single
data types for simulation, but not for HDL code generation.
Data Types: single
 double
 int8
 int16
 int32
 int64
 uint8
 uint16
 uint32
 uint64
 fixed point
Complex Number Support: Yes
valid — Indicates valid input data
scalar
Control signal that indicates if the input data is valid. When
valid is 1
(true
), the
block captures the values from the input data port. When
valid is 0
(false
), the
block ignores the values from the input data port.
When you set the Architecture parameter to Burst
Radix 2
, you must apply input data and
valid signals only when ready is
1
(true). The block ignores the input data
and valid signals when ready is
0
(false).
Data Types: Boolean
reset — Clears internal states
scalar
Control signal that clears internal states. When reset is
1
(true
), the block stops the current
calculation and clears internal states. When the reset is
0
(false
) and the input
valid is 1
(true
), the
block captures data for processing.
For more reset considerations, see the Reset Signal section on the Hardware Control Signals page.
Dependencies
To enable this port, on the Control Ports tab, select the Enable reset input port parameter.
Data Types: Boolean
Output
data — Frequency channel output data
scalar or column vector of real or complex values
When input is fixedpoint data type and scaling is enabled, the output data type
is the same as the input data type. When the input is integer type and scaling is
enabled, the output is fixedpoint type with the same word length as the input
integer. The output order is bitreversed by default. If scaling is disabled, the
output word length increases to avoid overflow. Only the Streaming Radix
2^2
architecture supports vector input and output. For more
information, see Divide butterfly outputs by two
parameter.
Data Types: fixed point
 double
 single
Complex Number Support: Yes
valid — Indicates valid output data
scalar
Control signal that indicates if the data from the output
data port is valid. When valid is
1
(true
), the block returns valid data from
the output data port. When valid is
0
(false
), the values from the output
data port are not valid.
Data Types: Boolean
ready — Indicates block is ready for new input data
scalar
Control signal that indicates that the block is ready for new input data sample on
the next cycle. When ready is 1
(true
), you can specify the data
and valid inputs for the next time step. When
ready is 0
(false
), the block ignores any input data in the next time
step.
For a waveform that shows this protocol, see the third diagram in the Timing Diagram section.
Dependencies
To enable this port, set the Architecture parameter to
Burst Radix 2
.
Data Types: Boolean
start — Indicates first valid cycle of output frame
scalar
Control signal that indicates the first valid cycle of the output frame. When
start is 1
(true
), the
block returns the first valid sample of the frame on the output
data port.
Dependencies
To enable this port, on the Control Ports tab, select the Enable start output port parameter.
Data Types: Boolean
end — Indicates last valid cycle of output frame
scalar
Control signal that indicates the last valid cycle of the output frame. When
start is 1
(true
), the
block returns the last valid sample of the frame on the output
data port.
Dependencies
To enable this port, on the Control Ports tab, select the Enable end output port parameter.
Data Types: Boolean
Parameters
Main
FFT length — Number of data points used for one FFT calculation
1024
(default)
This parameter specifies the number of data points used for one inversefastFouriertransform (IFFT) calculation. For HDL code generation, the FFT length must be a power of 2 between 2^{2} and 2^{16}.
Architecture — Architecture type
Streaming Radix 2^2
(default)  Burst Radix 2
This parameter specifies the type of architecture.
Streaming Radix 2^2
— Select this value to specify lowlatency architecture. This architecture type supports GSPS throughput when using vector input.Burst Radix 2
— Select this value to specify minimum resource architecture. This architecture type does not support vector input. When you use this architecture, your input data must comply with the ready backpressure signal.
For HDL code generation, the FFT length must be a power of 2 between 2^{2} and 2^{16}.
For more details about these architectures, see Algorithms.
Complex Multiplication — HDL implementation
Use 4 multipliers and 2 adders
(default)  Use 3 multipliers and 5 adders
This parameter specifies the complex multiplier type for HDL implementation. Each
multiplication is implemented either with Use 4 multipliers and 2
adders
or with Use 3 multipliers and 5
adders
. The implementation speed depends on the synthesis tool and
target device that you use.
Output in bitreversed order — Order of output data
on (default)  off
This parameter returns output elements in bitreversed order.
When you select this parameter, the output elements are bitreversed. To return output elements in linear order, clear this parameter.
The IFFT algorithm calculates output in the reverse order to the input. If you specify the output to be in the same order as the input, the algorithm performs an extra reversal operation. For more information, see Linear and BitReversed Output Order.
Input in bitreversed order — Expected order of input data
off (default)  on
When you select this parameter, the block expects input data in bitreversed order. By default, the check box is cleared and the input is expected in linear order.
The IFFT algorithm calculates output in the reverse order to the input. If you specify the output to be in the same order as the input, the algorithm performs an extra reversal operation. For more information, see Linear and BitReversed Output Order.
Divide butterfly outputs by two — FFT scaling
on (default)  off
When you select this parameter, the block implements an overall 1/N scale factor by dividing the output of each butterfly multiplication by two. This adjustment keeps the output of the IFFT in the same amplitude range as its input. If you disable scaling, the block avoids overflow by increasing the word length by 1 bit after each butterfly multiplication. The bit increase is the same for both architectures.
Data Types
Rounding Method — Rounding mode for internal fixedpoint calculations
Floor
(default)  Ceiling
 Convergent
 Nearest
 Round
 Zero
This parameter allows you to select the type of rounding mode for internal
fixedpoint calculations. For more information about rounding modes, see Rounding Modes.
When the input is any integer or fixedpoint data type, the IFFT algorithm uses
fixedpoint arithmetic for internal calculations. This option does not apply when the
input is single
or double
type. Rounding applies
to twiddle factor multiplication and scaling operations.
Control Ports
Enable reset input port — Optional reset signal
off (default)  on
This parameter enables a reset input port. When you select this parameter, the input reset port appears on the block icon.
Enable start output port — Optional control signal indicating start of data
off (default)  on
This parameter enables a port that indicates the start of output data. When you select this parameter, the output start port appears on the block icon.
Enable end output port — Optional control signal indicating end of data
off (default)  on
This parameter enables a port that indicates the end of output data. When you select this parameter, the output end port appears on the block icon.
Algorithms
Streaming Radix 2^2
The streaming Radix 2^2 architecture implements a lowlatency architecture. It saves resources compared to a streaming Radix 2 implementation by factoring and grouping the FFT equation. The architecture has log_{4}(N) stages. Each stage contains two singlepath delay feedback (SDF) butterflies with memory controllers. When you use vector input, each stage operates on fewer input samples, so some stages reduce to a simple butterfly, without SDF.
The first SDF stage is a regular butterfly. The second stage multiplies the outputs of the first stage by –j. To avoid a hardware multiplier, the block swaps the real and imaginary parts of the inputs, and again swaps the imaginary parts of the resulting outputs. Each stage rounds the result of the twiddle factor multiplication to the input word length. The twiddle factors have two integer bits, and the rest of the bits are used for fractional bits. The twiddle factors have the same bit width as the input data, WL. The twiddle factors have two integer bits, and WL2 fractional bits.
If you enable scaling, the algorithm divides the result of each butterfly stage by 2. Scaling at each stage avoids overflow, keeps the word length the same as the input, and results in an overall scale factor of 1/N. If scaling is disabled, the algorithm avoids overflow by increasing the word length by 1 bit at each stage. The diagram shows the butterflies and internal word lengths of each stage, not including the memory.
Burst Radix 2
The burst Radix 2 architecture implements the FFT by using a single complex butterfly multiplier. The algorithm cannot start until it has stored the entire input frame, and it cannot accept the next frame until computations are complete. The output ready port indicates when the algorithm is ready for new data. The diagram shows the burst architecture, with pipeline registers.
When you use this architecture, your input data must comply with the ready backpressure signal.
Control Signals
The algorithm processes input data only when the input valid port is 1. Output data is valid only when the output valid port is 1.
When the optional input reset port is 1, the algorithm stops the current calculation and clears all internal states. The algorithm begins new calculations when reset port is 0 and the input valid port starts a new frame.
This diagram shows the input and output valid port values for contiguous scalar input data, streaming Radix 2^2 architecture, an FFT length of 1024, and a vector size of 16.
The diagram also shows the optional start and end port values that indicate frame boundaries. If you enable the start port, the start port value pulses for one cycle with the first valid output of the frame. If you enable the end port, the start port value pulses for one cycle with the last valid output of the frame.
If you apply continuous input frames, the output will also be continuous after the initial latency.
The input valid port can be noncontiguous. Data accompanied by an input valid port is processed as it arrives, and the resulting data is stored until a frame is filled. Then the algorithm returns contiguous output samples in a frame of N (FFT length) cycles. This diagram shows noncontiguous input and contiguous output for an FFT length of 512 and a vector size of 16.
When you use the burst architecture, you cannot provide the next frame of input data until
memory space is available. The ready signal indicates when the
algorithm can accept new input data. You must apply input data and
valid signals only when ready is
1
(true). The algorithm ignores any input data
and valid signals when ready is
0
(false).
Latency
The latency varies with the FFT length and input vector size. After you update the model, the block icon displays the latency. The displayed latency is the number of cycles between the first valid input and the first valid output, assuming the input is contiguous. To obtain this latency programmatically, see Automatic Delay Matching for the Latency of FFT Block.
When using the burst architecture with a contiguous input, if your design waits for
ready to output 0
before deasserting the input
valid, then one extra cycle of data arrives at the input. This data
sample is the first sample of the next frame. The algorithm can save one sample while
processing the current frame. Due to this one sample advance, the observed latency of the
later frames (from input valid to output valid) is
one cycle shorter than the reported latency. The latency is measured from the first cycle,
when input valid is 1 to the first cycle when output
valid is 1. The number of cycles between when
ready port is 0 and the output valid port is 1
is always latency – FFTLength.
Performance
This resource and performance data is the synthesis result from the generated HDL targeted to a Xilinx^{®} Virtex^{®}6 (XC6VLX75T1FF484) FPGA. The examples in the tables have this configuration:
1024 FFT length (default)
Complex multiplication using 4 multipliers, 2 adders
Output scaling enabled
Natural order input, Bitreversed output
16bit complex input data
Clock enables minimized (HDL Coder™ parameter)
Performance of the synthesized HDL code varies with your target and synthesis options. For instance, reordering for a naturalorder output uses more RAM than the default bitreversed output, and real input uses less RAM than complex input.
For a scalar input Radix 2^2 configuration, the design achieves 326 MHz clock frequency. The latency is 1116 cycles. The design uses these resources.
Resource  Number Used 

LUT  4597 
FFS  5353 
Xilinx LogiCORE^{®} DSP48  12 
Block RAM (16K)  6 
When you vectorize the same Radix 2^2 implementation to process two 16bit input samples in parallel, the design achieves 316 MHz clock frequency. The latency is 600 cycles. The design uses these resources.
Resource  Number Used 

LUT  7653 
FFS  9322 
Xilinx LogiCORE DSP48  24 
Block RAM (16K)  8 
The block supports scalar input data only when implementing burst Radix 2 architecture. The burst design achieves 309 MHz clock frequency. The latency is 5811 cycles. The design uses these resources.
Resource  Number Used 

LUT  971 
FFS  1254 
Xilinx LogiCORE DSP48  3 
Block RAM (16K)  6 
Extended Capabilities
C/C++ Code Generation
Generate C and C++ code using Simulink® Coder™.
This block supports C/C++ code generation for Simulink accelerator and rapid accelerator modes and for DPI component generation.
HDL Code Generation
Generate VHDL, Verilog and SystemVerilog code for FPGA and ASIC designs using HDL Coder™.
HDL Coder provides additional configuration options that affect HDL implementation and synthesized logic.
This block has one default HDL architecture.
ConstrainedOutputPipeline  Number of registers to place at
the outputs by moving existing delays within your design. Distributed
pipelining does not redistribute these registers. The default is

InputPipeline  Number of input pipeline stages
to insert in the generated code. Distributed pipelining and constrained
output pipelining can move these registers. The default is

OutputPipeline  Number of output pipeline stages
to insert in the generated code. Distributed pipelining and constrained
output pipelining can move these registers. The default is

You cannot generate HDL code for this block inside an Enabled Subsystem (Simulink).
Version History
Introduced in R2014aR2022a: Moved to DSP HDL Toolbox from DSP System Toolbox
Before R2022a, this block was named IFFT HDL Optimized and was included in the DSP System Toolbox™ DSP System Toolbox HDL Support library.
R2022a: FFT length of 4
You can now set the FFT length to 4 (2^{2}). In previous releases the FFT length had to be a power of 2 from 8 (2^{3}) to 2^{16}.
Commande MATLAB
Vous avez cliqué sur un lien qui correspond à cette commande MATLAB :
Pour exécuter la commande, saisissezla dans la fenêtre de commande de MATLAB. Les navigateurs web ne supportent pas les commandes MATLAB.
Select a Web Site
Choose a web site to get translated content where available and see local events and offers. Based on your location, we recommend that you select: .
You can also select a web site from the following list:
How to Get Best Site Performance
Select the China site (in Chinese or English) for best site performance. Other MathWorks country sites are not optimized for visits from your location.
Americas
 América Latina (Español)
 Canada (English)
 United States (English)
Europe
 Belgium (English)
 Denmark (English)
 Deutschland (Deutsch)
 España (Español)
 Finland (English)
 France (Français)
 Ireland (English)
 Italia (Italiano)
 Luxembourg (English)
 Netherlands (English)
 Norway (English)
 Österreich (Deutsch)
 Portugal (English)
 Sweden (English)
 Switzerland
 United Kingdom (English)