Verification

HDL test bench generation, and cosimulation with third party EDA tools

Filter Design HDL Coder™ provides the option to generate a test bench for the generated HDL code for your filter. The test bench applies generated input stimuli to the HDL code generated for the filter. The test bench compares the output of the HDL filter implementation with saved result vectors from MATLAB^® simulation. You can configure the clock and reset behavior, input stimulus, and file locations of the generated test bench.

Filter Design HDL Coder also provides cosimulation features to run your HDL simulation in Siemens^® ModelSim™, or Cadence Incisive^®, concurrently with Simulink^®. Use this feature to verify that the HDL implementation of your feature works with other parts of your system design. This feature requires an HDL Verifier™ license.

Functions

generatetbstimulus Generate HDL test bench stimulus

Properties

HDL Test Bench Properties

Generate and customize HDL test bench

Topics

Testing with an HDL Test Bench
How to generate and execute an HDL test bench, and how to configure test bench properties.
Cosimulation of HDL Code with HDL Simulators
How to generate cosimulation blocks and models for use with HDL simulation tools.
Integration with Third-Party EDA Tools
Generate compilation and simulation scripts for third-party HDL tools.

Featured Examples

HDL Inverse Sinc Filter

Illustrates how to generate HDL code for an inverse sinc (sin x/x) peaking filter that adds preemphasis to compensate for the inherent sinc response of the digital-to-analog converter (DAC). The input is a 10-bit video signal and the output is scaled to accommodate the gain of the inverse sinc response.

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HDL Fractional Delay (Farrow) Filter

Illustrates how to generate HDL code for a fractional delay (Farrow) filter for timing recovery in a digital modem. A Farrow filter structure provides variable fractional delay for the received data stream prior to downstream symbol sampling. This special FIR filter structure permits simple handling of filter coefficients by an efficient polynomial interpolation formula implementation to provide variable fractional resampling.

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