从浮点描述计算的定点实现

D. Buehler, G. Donohoe
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引用次数: 3

摘要

在Matlab/Simulink、IDL或C/ c++等高级软件设计环境中,通常使用双精度浮点算法开发信号和图像处理和控制算法。航空电子系统设计人员必须在一个平台上实现这些计算,该平台必须满足机载数据处理的限制,如尺寸、重量、功耗和辐射硬度。在简单的纯整数硬件上实现数学密集型信号处理和控制算法的能力将大大增加航空电子系统设计者的选择。本文提出了一种生成定点计算的方法和软件工具,使纯整数处理器能够实现与浮点相当的数值精度,速度更快,尺寸,重量,成本和功耗更小。该方法已成功应用于图像焦平面阵列标定、傅里叶变换高光谱成像仪数据转换、基于小波的特征选择以及各种模式识别任务。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
SIFOpt - Fixed-Point Implementations of Calculations from Floating-Point Descriptions
Signal and image processing and control algorithms are typically developed using double-precision floating point arithmetic, in a high-level software design environment such as Matlab/Simulink, IDL, or C/C++. The avionics system designer must implement these computations in a platform that satisfies the constraints of on-board data processing such as size, weight, power consumption and radiation hardness. The ability to implement math-intensive signal processing and control algorithms on simple, integer-only hardware would greatly increase the avionics system designer's options. This paper presents a methodology and software tool for generating fixed point computations, enabling integer-only processors to achieve numerical accuracy comparable to floating point, faster and with reduced size, weight, cost, and power consumption. The methodology has been successfully demonstrated on image focal plane array calibration, Fourier transform hyper-spectral imager data conversion, wavelet-based feature selection, and various pattern recognition tasks.
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