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Folded Filter Implementation Details
CLK
DATAI_VALID
DATAI
SAMPLE_ID
Figure 32 · SAMPLE_ID Timing Diagram
The ID must be generated by a regular incremental binary counter. The bit width of the ID is configurable.
With the 5-bit ID, consider the example in the Input Rate Limitations section on page 32 . Figure 33 shows
the SAMPLE_ID attached to the input data and the output FIRO_ID. The IDs are shown in decimal format
for convenience. The output sample with the ID 16 is the filtered result produced by the input samples from
16 to 27; the output ID 17 is the filtered input sequence from 17 to 28, etc. Due to the limited bit width, the ID
rolls over to 0 when the ID counter overflows. The FIRO_ID 22 marks the filtered output of the input samples
22-31 and 0-1, as shown in Figure 33 on page 35 .
DATAI_VALID
SAMPLE_ID
DATAO_VALID
FIRO
FIRO_ID
Filtered data
samples from
16 to 27
Filtered data
samples from
17 to 28
Filtered data
samples from
18 to 29
Filtered data
samples from 22
to 31 to 0 to 1
Filtered data
samples from 23
to 31 to 0 to 2
Filtered data
samples from 24
to 31 to 0 to 3
Figure 33 · Numeric ID Use Example
Warm-Up Time
In addition to initial coefficient copying time described in the “ Coefficient Modes ” section on page 30 , the
filter takes certain warm-up time. Theoretically, an FIR filter starts producing valid output samples after it
collects enough data to be entered in EQ 1 on page 5, N data samples. After initial reset when the filter
delay line is empty, the first valid output can possibly be available only after the filter receives N data
samples. CoreFIR requires PHY_TAPS more input samples to start generating valid results. It also discards
the first result as it is not accurate. The core deasserts the DATAO_VALID signal while initial inaccurate
results are generated.
After the warm-up, every subsequent PHY_TAPS input samples causes the filter to generate PHY_TAPS
valid output samples.
CoreFIR v8.5 Handbook
35
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