Faster and More Accurate Data Computation with Next-Gen DSP

Faster and More Accurate Data Computation with Next-Gen DSP

Traditionally, the architecture of Digital Signal Processors (DSP) has been limited in specific signal processing computation applications. The combination of Very Long Instruction Word (VLIW), Single Instruction Stream and Multiple Data Stream (SIMD) architectures provides the throughput necessary for high computational performance, with data sizes typically being 16, 24, and 32 fixed-point. This algorithm is particularly suitable for applications in speech/audio and communications. In the development of previous generations of DSP algorithms, system and software developers would develop system algorithms in MathWorks MATLAB®. When this algorithm is moved to DSP, the floating-point data output from MATLAB is converted to fixed-point data. This is because fixed-point data is often where the “real” DSP developers focus their computational needs.

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Faster and More Accurate Data Computation with Next-Gen DSP

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