AI Engine/DSP/Window IO
This block implements the FIR Halfband Decimator targeted for AI Engines.
- Input data type/Output data type
- Describes the type of individual data samples input to and output from the filter function. int16, cint16, int32, cint32, float, cfloat.
- Filter coefficients data type
- Describes the type of individual coefficients of
the filter taps. It should be one of int16, cint16, int32,
cint32, float, cfloat and must also satisfy the following
- Complex types are only supported when the Input/Output data type is also complex.
- 32-bit types are only supported when the Input/Output data type is also a 32-bit type.
- Filter coefficients data type must be an integer type if the Input/Output data type is an integer type.
- Filter coefficients data type must be a float type if the Input/Output data type is a float type.
- Specify filter coefficients via input port
- When this option is enabled, the tool allows you to specify reloadable filter coefficients via input port.
- Filter coefficients
- Specifies the filter coefficients as a vector of (N+1)/4+1 elements, where 'N' is a positive integer that represents the filter length and must be in the range 4 to 240 inclusive.
- Input window size (Number of samples)
- Describes the number of samples used as an input to the filter function. The number of values in the output window will be the Input window size divided by two by virtue of the halfband decimation factor.
- Scale output down by 2^
- Describes the power of 2 shift down applied to the accumulation of FIR terms before output. It must be in the range 0 to 61.
- Rounding mode
- Describes the selection of rounding to be
applied during the shift down stage of processing. The rounding
options are as follows:
- Floor (truncate)
- Round to positive infinity
- Round to negative infinity
- Round symmetrical to infinity
- Round symmetrical to zero
- Round convergent to even
- Round convergent to odd
Modes 2 to 7 round to the nearest integer. They differ only in how they round for the value of 0.5.
- Target input throughput (MSPS)
- Specifies the rate at which data samples should be processed. The default value is 200.
- Specify the number of cascade stages
- When this option is not enabled, the tool will determine the filter configuration that best achieves the specified input sampling rate. When the option is enabled, the 'Number of cascade stages' can be specified (which describes the number of AI Engine processors to split the operation over). However, this allows resource to be traded for higher performance and the specified input sampling rate constraint may not be achieved. The value must be in the range 1 to 9.