Library
AI Engine/DSP
Description
This block implements the Inverse FFT targeted for AI Engines which use the rounding method and saturates the output samples on overflow.
Parameters
- Input/Output data type
- Describes the type of individual data samples input to and output from the filter function. Supported types are cint16, cint32 and cfloat.
- IFFT size
- This is an unsigned integer which describes the point size of the transformation. This must be 2^N, where N is in the range 4 to 10 inclusive. This value describes the maximum point size possible.
- Number of cascade stages
- This determines the the number of kernels the FFT will be divided over in series to improve throughput.
- Scale output down by 2^
- Describes the power of 2 to scale the result by prior to output.