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Fixed-Point DSP and Algorithm Implementation

机译:固定点DSP和算法实现

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Many concepts are covered in this paper at a high level. The objective is to familiarize the reader with new concepts and provide a framework for existing knowledge. An in-depth (and often rigorous) presentation on the topics covered can be found distributed throughout several chapters of any comprehensive DSP (digital signal processing) textbook. By intention this level of coverage should motivate the reader to pursue a more in depth understanding of specific technical details. The primary differences between conventional and DSP processors involve optimization for specific arithmetic operations and data handling. DSP processors are optimized to efficiently execute optimized operations which allow the efficient implementation of signal processing algorithms. The source of these signals can be audio, image-based or simply numerical. Many of these specialized DSP algorithms require repetitive use of the following operation group.
机译:许多概念在本文中覆盖了高水平。目标是熟悉新概念的读者,并为现有知识提供框架。可以在任何全面DSP(数字信号处理)教科书的几章中,找到关于覆盖主题的深入(并且通常严格)演示。意图这种覆盖范围应激励读者更深入地了解具体的技术细节。传统和DSP处理器之间的主要差异涉及特定算术运算和数据处理的优化。优化DSP处理器以有效地执行优化的操作,允许有效地实现信号处理算法。这些信号的来源可以是音频,基于图像的或简单的数字。许多这些专业的DSP算法需要重复使用以下操作组。

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