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Block Floating Point Implementations for DSP Computations in Reconfigurable Computing

机译:可重构计算中DSP计算的块浮点实现

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摘要

The IEEE754 standard prescribes standards for 32 bit single precision and 64 bit double precision formats. For DSP applications that require a large dynamic range floating point implementations are more suitable than fixed point representation. This advantage is offset by the cost of the implementation. The block floating point (BFP) concept combines the precision and cost effectiveness of fixed point representations with the increased dynamic range of floating point representations. BFP is of particular importance in FPGA implementations of DSP algorithms. In this paper the embedded multipliers available in present day reconfigurable devices facilitate the implementation of efficient BFP architectures for DSP applications.
机译:IEEE754标准规定了32位单精度和64位双精度格式的标准。对于需要较大动态范围的DSP应用,浮点实现比定点表示更合适。这种优势被实施成本所抵消。块浮点(BFP)概念将定点表示的精度和成本效益与浮点表示的增加的动态范围结合在一起。 BFP在DSP算法的FPGA实现中特别重要。在本文中,当今可重配置设备中可用的嵌入式乘法器促进了针对DSP应用的高效BFP架构的实现。

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