介绍定点乘法和信号处理的应用

T. Fryza
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引用次数: 1

摘要

该贡献处理整数和实数的二进制表示。在数字信号处理领域,数字的表示有定点形式和浮点形式两种。本文给出了不动点表示的无符号二进制乘法算法。有许多处理器具有固定或浮点表示,并且在FPGA中也有一些用于算术运算的块。但一般来说,这些块在位宽方面没有很大的可变性。贡献的目标主要是提出一个算术模型,并对大量可能实现的算法评估其复杂性。为了验证乘积算法的有效性,还对灰度图像进行了多维卷积。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Introduction to fixed-point multiplication and signal processing application
The contribution deals with a binary representation of integer and real numbers. In domain of digital signal processing the number representation is either in fixed-point or floating-point form. In the text the algorithm for unsigned binary multiplication for fixed-point representation is presented. There are many processors with fixed or floating-point representation and there are also several blocks used for arithmetical operations in FPGA. But generally these blocks do not have a large variability in terms of bit width. The goal of the contribution is mainly to present an arithmetical model and to evaluate its complexity for a large number of possible implemented algorithms. For testing of product algorithm the multidimensional convolution of gray scale images was performed as well.
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