Adam Taylor, EADS Astrium
EETimes (8/7/2012 1:35 PM EDT)
One of the many benefits of an FPGA-based solution is the ability to implement a mathematical algorithm in the best possible manner for the problem at hand. For example, if response time is critical, then we can pipeline the stages of mathematics. But if accuracy of the result is more important, we can use more bits to ensure we achieve the desired precision. Of course, many modern FPGAs also provide the benefit of embedded multipliers and DSP slices, which can be used to obtain the optimal implementation in the target device.
Let's take a look at the rules and techniques that you can use to develop mathematical functions within an FPGA or other programmable device
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