Transcription of Comparing Fixed- and Floating-Point DSPs
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Comparing Fixed- and Floating-Point DSPs
1 SPRY061 System developers, especially those who are new to digital signal processors (DSPs),are sometimes uncertain whether they need to use fixed- or Floating-Point DSPs fortheir systems. Both fixed- and Floating-Point DSPs are designed to perform the high-speed computations that underlie real-time signal processing. Both feature system-on-a-chip (SOC) integration with on-chip memory and a variety of high-speed peripheralsto ensure fast throughput and design flexibility. Tradeoffs of cost and ease of use oftenheavily influenced the fixed- or Floating-Point decision in the past. Today, though, select-ing either type of DSP depends mainly on whether the added computational capabilitiesof the Floating-Point format are required by the numeric formatsAs the terms fixed- and Floating-Point indicate, the fundamental difference between thetwo types of DSPs is in their respective numeric representations of data. While Fixed- point DSP hardware performs strictly integer arithmetic, Floating-Point DSPs supporteither integer or real arithmetic, the latter normalized in the form of scientific s TMS320C62x Fixed- point DSPs have two data paths operating in parallel, eachwith a 16-bit word width that provides signed integer values within a range from 2^15 to2^15.
Cost versus ease of use The much greater computational power offered by floating-point DSPs is normally the critical element in the fixed- or floating-point design decision.
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