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The quantization effects of the CORDIC algorithm (coordinate rotation digital computer)

机译:CORDIC算法(坐标旋转数字计算机)的量化效果

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CORDIC is a rotation-based arithmetic computing algorithm which has many important signal processing applications. Quantization errors occurring in the CORDIC algorithm are analyzed. Two types of quantization errors in the CORDIC algorithm are identified: one is an approximation error due to a quantized representation of rotation angles; another is the rounding error due to finite-precision arithmetic. Tight error bounds for these two types of errors are derived for both fixed-point and floating-point arithmetic. The effect of scaling (normalization) has been taken into account. These theoretical results are verified by simulation examples. The impact of these results on the architecture of a practical CORDIC processor is discussed.
机译:CORDIC是基于旋转的算术计算算法,具有许多重要的信号处理应用程序。分析了在CORDIC算法中出现的量化误差。在CORDIC算法中识别出两种类型的量化误差:一种是由于旋转角度的量化表示而引起的近似误差;另一种是由于旋转角度的量化表示而引起的近似误差。另一个是由于有限精度算法引起的舍入误差。对于定点和浮点算法,都导出了这两种类型的错误的严格错误界限。已经考虑了缩放(标准化)的影响。通过仿真实例验证了这些理论结果。讨论了这些结果对实际CORDIC处理器体系结构的影响。

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