Floating-point to Fixed-point Conversion
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چکیده
منابع مشابه
Fixify: A Toolset for Automated Floating-point to Fixed-point Conversion
Automation of the floating-point to fixed-point conversion of algorithmic descriptions is expected to produce significant improvements in the design process of embedded systems, in terms of its efficiency and error resilience. Although several analytical and statistical approaches to help the designer make the conversion trade-off between design parameters and implementation costs do exist, non...
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Digital signal processing applications are specified with floating-point data types but they are usually implemented in embedded systems with fixed-point arithmetic to minimise cost and power consumption. Thus, methodologies which establish automatically the fixed-point specification are required to reduce the application time-to-market. In this paper, a new methodology for the floating-to-fixe...
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Most Digital Signal Processors perform computations on integers, or fixed-point numbers, rather than floating-point numbers. In contrast, Digital Signal Processing algorithms are often designed with real numbers in mind and usually implemented in floating-point. Apart from finite wordlength effects that may appear during signal acquisition and intermediate computations, limits on the signal pre...
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This work proposes a floating-point to fixed-point conversion (FFC) methodology for digital VLSI signal processing systems. The past techniques used to facilitate FFC are first reviewed, followed by a description based on a statistical approach and global optimization which allows a high degree of automation.
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An essential step in embedded software development, floatingto fixed-point conversion can be tedious, labor-intensive, and error-prone. System engineers frequently design algorithms in floating-point math, usually double-precision. This format represents the ideal algorithm behavior but takes little account of the algorithm’s final realization in production software and hardware. Software engin...
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