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Error analysis of filters implemented with floating point arithmetic

机译:浮点算法实现过滤器的误差分析

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Discrete time filters widely used in most control applications are usually implemented on finite precision digital devices which employ either fixed point of floating point arithmetic. Large dynamic range and the inherent normalizing characteristic of floating point representations may, in certain cases, make them preferable over other forms of representations. In a general simulation of system response, the effects due to quantization are not usually considered. This study presents a code for emulation of floating point quantization effects in time domain simulation of the system response.
机译:广泛用于大多数控制应用中的离散时间过滤器通常在采用浮点算术的固定点的有限精度数字设备上实现。在某些情况下,浮点表示的大动态范围和固有的归一化特性可以使它们优选其他形式的表示。在系统响应的一般模拟中,通常不考虑由量化引起的效果。本研究介绍了系统响应时域模拟中浮点量化效应的仿真代码。

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